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# Aveni: Automate compliance and streamline workflows with Aveni's AI for financial services. Drive productivity with industry-leading solutions.

## Sitemaps
[XML Sitemap](https://aveni.ai/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [How Aveni Doc Gen Handles What Other Tools Cannot: Multi-Touch Advice Journeys](https://aveni.ai/blog/automated-document-generation/): Suitability reports consume hours of adviser time every week. While most automation tools simply fill template placeholders, advisers still face the real bottleneck: assembling scattered information from CRMs, meeting notes, fact finds, and risk profiles into coherent, compliant documents.
- [TIME called out weak AI safety. FinLLM shows how it can be done properly.](https://aveni.ai/blog/time-called-out-weak-ai-safety-finllm-shows-how-it-can-be-done-properly/): We’ve taken a deliberate, systems level approach to AI safety. Our internal governance structures are guided by a clear framework that includes internal ethics oversight, legal input, and alignment with evolving regulatory standards like the EU AI Act and the FCA’s principles for AI use in financial services.The EU AI Act classifies many financial AI systems as "high-risk", which means developers and deployers must demonstrate transparency, maintain robust risk management processes, and enable ongoing monitoring throughout a model’s lifecycle. Similarly, the FCA’s AI principles require firms to demonstrate strong model oversight, explainability, and accountability.
- [Introducing FinLLM: The First GenAI Model Built for UK Financial Services](https://aveni.ai/blog/introducing-finllm/): Edinburgh, UK: 19 May 2025 - Leading UK AI Fintech Aveni has today announced the release of its first iteration of FinLLM - a domain-specific large language model (LLM) purpose-built for the UK financial services sector. FinLLM is designed to meet the industry’s stringent requirements for compliance, safety, and performance, setting a new benchmark for responsible generative AI by aligning with FCA guidance and the EU AI Act.
- [Does agentic AI count as regulated advice?](https://aveni.ai/blog/does-agentic-ai-count-as-regulated-advice/): TL;DR: Agentic AI does not automatically count as regulated financial advice in the UK. The FCA regulates activities rather than technologies. Whether an AI interaction crosses the regulatory perimeter depends on what the system does, how personalised its output is, whether it recommends a specific course of action and whether it goes on to arrange or execute it.
- [Consumer Duty Outcomes Monitoring: 4 FCA Figures to Cite](https://aveni.ai/blog/consumer-duty-outcomes-monitoring/): TL;DR: In July 2026 the FCA published a review of how 56 firms practice Consumer Duty outcomes monitoring. The report is mostly qualitative, but four measured results stand out, each from a firm that changed something and tracked the effect. One firm cut first response time from 22 hours to under 2 minutes, and resolution time from 4 days to under 3 hours, over six months, after adding AI-powered in-app chat. One firm raised transaction categorisation accuracy by 12.8% after refining its rules, giving it more reliable monitoring data. One firm improved anti-money laundering pass rates by 5% and bank verification pass rates by 20% after piloting a multi-bureau verification approach. The common thread: the FCA treats the full loop as the standard. Find a problem in the data, act on it, and measure whether the outcome improved.
- [The 182,408 high-risk conversations nobody reviewed](https://aveni.ai/blog/182408-calls-nobody-reviewed/): Detect has assessed 1.38 million customer conversations across Aveni's customer base. If those firms had reviewed calls the standard way, sampling 2% of them manually, 182,408 high-risk calls would have gone unreviewed. Those calls contained vulnerability signals, complaints and dissatisfaction. Nobody would have heard them.
- [Aveni co-founders win ACL Test-of-Time award for the paper behind how AI reads text](https://aveni.ai/blog/aveni-wins-test-of-time/): The Association for Computational Linguistics has awarded its 2026 Test-of-Time award to a 2016 paper co-authored by Aveni co-founders Dr Barry Haddow and Dr Alexandra (Lexi) Birch, together with Professor Rico Sennrich. The award was announced this week at ACL 2026 in San Diego.
- [The Mills Review explained: what the FCA’s AI review means for financial services firms](https://aveni.ai/blog/suggested-meta-description-the-fca-published-the-mills-review-on-6-july-2026-here-is-what-it-says-its-seven-recommendations-and-what-fca-regulated-firms-should-do-next/): The FCA published the Mills Review on 6 July 2026. The 147-page report, led by executive director Sheldon Mills, examines how AI could reshape retail financial services by 2030 and makes seven recommendations to the FCA Board. This guide answers the questions compliance leaders, advice firms and boards are asking about it.
- [The Mills Review findings: what the FCA decided and what compliance teams should do now](https://aveni.ai/blog/mills-review-takeaways/): The FCA published the findings of the Mills Review on 6 July 2026, setting out seven priority recommendations for how AI should be regulated in retail financial services through to 2030 and beyond. The review, led by Sheldon Mills, ran a call for input from 27 January to 24 February 2026, drew on 140 written submissions, and asked 20 questions across four themes: how AI will evolve, how it will affect markets and firms, how it will affect consumers, and how regulators need to change.
- [AI Fintech Aveni included inaugural Sunday Times Scotland Fast 50 ](https://aveni.ai/blog/aveni-scotland-fast-50/): Edinburgh, 26 June 2026 — Aveni, the AI Fintech, was today announced in the Sunday Times Scotland Fast 50, a definitive new index of Scotland's fastest-growing businesses.
- [Mythos or not – UK banking needs to wake up to the threat](https://aveni.ai/blog/uk-ai-distribution-layer/): UK banking is sleep walking into the greatest structural disruption in its history, and it’s funding the disruption itself.
- [Nationwide deploys Aveni’s FinLLM to support AI transformation](https://aveni.ai/blog/nationwide-aveni-finllm/): Leading UK building society backs initial investment in Aveni’s FinLLM to become first commercial adopter 
- [The Four Consumer Duty Outcomes: What the FCA Expects Firms to Evidence in 2026](https://aveni.ai/blog/consumer-duty-outcomes/): Aveni Detect reviews 100% of customer interactions and maps the evidence to each of the four Consumer Duty outcomes, so firms can show good outcomes across the whole customer base rather than inferring them from a sample. To see how it handles the evidence layer across your interactions, book a demo.
- [AI agents and the SMCR: who’s on the hook when the bot gets it wrong?](https://aveni.ai/blog/smcr-ai-agents-senior-manager-accountability/): The FCA's David Geale said it in three words. Individuals in financial services firms are "on the hook" for harm caused to consumers through AI. 
- [AI agent stress testing for financial services: what good looks like](https://aveni.ai/blog/ai-agent-stress-testing-financial-services/): This piece is for the firms that have stopped assuming. What follows: what AI agent stress testing actually involves, the scenarios that matter for regulated firms, and how the work differs from generic AI red teaming.
- [Aveni extends market leading wealth and compliance platform into consumer agentic AI for financial services](https://aveni.ai/blog/aveni-extends-market-leading-wealth-and-compliance-platform-into-consumer-agentic-ai-for-financial-services/): Edinburgh, 04 June 2026: Aveni, the UK’s leading AI fintech specialist in wealth management, financial advice and banking, today announced a £12 million funding round led by PXN Ventures, the UK's fastest-growing venture and investments firm outside London and the South East, and supported by existing investors Puma Growth Partners, Lloyds Banking Group, Nationwide and Scottish Enterprise. The investment will accelerate development of Aveni’s Unified Assurance Platform (UAP) and the launch of its new Agent Assure and Agent Approve solutions, purpose-built to assess the conduct risk of AI agents that interact with consumers in financial services.
- [How a pension provider proves good outcomes now when the customer retires in 20 years](https://aveni.ai/blog/ai-governance-for-pension-providers-long-term-outcome-accountability/): Part of the AI on Trial: The Burden of Proof campaign series
- [AI Compliance for Mortgage Lenders: Audit Trails, Advice Quality, and Regulatory Evidence](https://aveni.ai/blog/ai-compliance-for-mortgage-lenders-audit-trails-advice-quality-and-regulatory-evidence/): Part of the AI on Trial: The Burden of Proof campaign series
- [What insurance compliance teams need to know about vulnerability detection in AI](https://aveni.ai/blog/ai-oversight-insurers-vulnerable-customer/): This is a vulnerable customer interaction. Health, life event, resilience, capability — three of the FCA's four drivers are in play inside the first ninety seconds. Under Consumer Duty, the firm has to identify the vulnerability, respond to it appropriately, and evidence that it did both. If an AI tool is anywhere in the loop — taking the call, drafting the follow-up email, processing the cancellation, triaging the claim — the obligation applies to the AI too.
- [The six layers behind every AI-drafted suitability report wealth managers should know](https://aveni.ai/blog/ai-governance-wealth-management/): Part of the AI on Trial: The Burden of Proof campaign series
- [How banks should evidence AI oversight when interactions run into the millions](https://aveni.ai/blog/ai-in-banking-accountability/): Part of the AI on Trial: The Burden of Proof campaign series
- [Who is going to govern the agents UK banks are about to deploy?](https://aveni.ai/blog/who-governs-uk-bank-ai-agents/): On 15 May 2026, OpenAI gave ChatGPT your bank account. Pro users in the US can now plug in more than 12,000 institutions through Plaid, Schwab and Fidelity and Chase and Robinhood and Amex and Capital One among them. The chatbot reads your balances, your transactions, your holdings, what you owe. The Intuit integration coming next takes it past reading and into doing: paying, applying, transacting.
- [How financial services firms should think about AI model provenance under the EU AI Act](https://aveni.ai/blog/why-financial-services-needs-domain-specific-ai-models/): Part of the AI on Trial: The Burden of Proof campaign series
- [How to evidence AI agent compliance: 5 expectations from the FCA](https://aveni.ai/blog/evidence-ai-agent-compliance-fca/): The Financial Conduct Authority hasn’t written an AI rulebook and it won’t. The regulator has been explicit, repeatedly, that AI in financial services already sits inside the existing framework. Consumer Duty. SMCR. Operational resilience. The same rules that already govern everything else in the firm. The same rules, the same standards, just applied to something new.
- [What the FCA Supercharged Sandbox revealed about AI agent governance in practice](https://aveni.ai/blog/fca-supercharged-sandbox-ai-agent-governance/): What is the FCA Supercharged Sandbox? The FCA Supercharged Sandbox is a programme run by the Financial Conduct Authority's AI Lab that gives UK financial services firms a controlled environment to test AI applications. It launched in June 2025 in partnership with NVIDIA, and provides access to NVIDIA Accelerated Computing, the NVIDIA AI Enterprise software suite, synthetic datasets, and direct regulatory engagement. The first cohort ran from October 2025 to January 2026.
- [Best AI Tools for UK Financial Advisers in 2026](https://aveni.ai/blog/best-ai-tools-uk-financial-advisers-2026/): The best AI tools for UK financial advisers in 2026 are the ones built around regulated advice workflows: meeting capture, suitability report drafting, compliance monitoring, QA, and audit-ready records for Consumer Duty. For UK firms specifically, the strongest options are platforms designed for FCA rules rather than general AI assistants ported across from the US.
- [When AI Gets It Wrong: The Risk to Vulnerable Customers in Financial Services](https://aveni.ai/blog/ai-guidance-vulnerable-customers/): Most firms are watching the upside. The downside is where the regulatory exposure sits — and for vulnerable customers in particular, the downside of unchecked AI guidance quality is not theoretical.
- [Why Reviewing 3% of Calls Tells You Nothing About the Other 97%](https://aveni.ai/blog/qa-sampling-limitations-consumer-duty/): Part of the AI on Trial: The Burden of Proof campaign series
- [Why AI-Assisted Advice Needs a Retrievable Audit Trail](https://aveni.ai/blog/ai-audit-trail-consumer-duty/): Part of the AI on Trial: The Burden of Proof campaign series
- [10 AI Use Cases That Cut Financial Adviser Admin Time](https://aveni.ai/blog/ai-automation-tools-for-financial-advisers/): UK financial advisers spend a large share of their week on admin that sits around the advice itself: meeting notes, suitability reports, CRM updates, client emails and audit-ready records for Consumer Duty. The ten use cases below show where AI can take that work off advisers and paraplanners while keeping a full evidence trail the FCA can inspect.
- [SMCR Compliance and AI: What the FCA Expects From Senior Managers Deploying AI Agents](https://aveni.ai/blog/smcr-compliance-ai-agent-oversight/): SMCR compliance has always been about one thing: making sure a named individual can demonstrate they took reasonable steps to control the business they are responsible for. That requirement does not change because the decisions are now being made by AI agents instead of people.
- [AI Governance in UK Financial Services: The Accountability Framework](https://aveni.ai/blog/ai-governance-financial-services/): This is the central hub for Aveni's AI on Trial series. Over the coming months, we are examining the five AI governance gaps that exist in most firms deploying AI today, what proof looks like in practice, and what it takes to walk into any regulatory scrutiny with confidence. Start here, then follow the links to the full analysis on each charge.
- [AI on Trial: The Burden of Proof](https://aveni.ai/blog/ai-on-trial-burden-of-proof/): Over the coming months, we’re going to be taking a deep dive on: AI on Trial: The Burden of Proof — because that transition deserves to be named directly. We’ll examine what accountability in AI actually requires, what the evidence looks like in practice, and what it means for the firms that are doing it right.
- [AI Agents in Financial Services: The Deployment Problem Nobody Has Solved Yet](https://aveni.ai/blog/ai-agents-in-financial-services-agent-assure/): AI agents are arriving in financial services faster than the governance infrastructure to support them. In two short videos, Aveni's Kent Mackenzie breaks down what makes agents different, why the stakes are higher in financial services than in most other sectors, and what firms actually need to do before they deploy.
- [7 Best AI Tools for UK Financial Advisers in 2026](https://aveni.ai/blog/7-best-ai-tools-for-uk-financial-advisers-in-2026/): UK financial advisers spend nearly half their working week on administrative tasks—from meeting notes and CRM updates to compliance documentation. Aveni gives you a purpose-built solution to reclaim that time, with AI tools designed specifically for regulated UK advice workflows.
- [Bringing AI to life with Advanta ](https://aveni.ai/blog/bringing-ai-to-life-with-advanta/): There’s no better way to understand the real-world impact of AI than hearing directly from the people using it every day. We spent time with the team at The Advanta Group to explore how Aveni Assist and Doc Gen are transforming adviser workflows, empowering paraplanning teams, and creating greater opportunity for individuals to excel in their roles.
- [What the industry told us about AI agent oversight and why it matters now](https://aveni.ai/blog/agent-assure-expert-council/): Last month, Aveni convened the inaugural meeting of the Agent Assurance Expert Council: a group of senior practitioners from across financial services, brought together to start building a shared understanding of what responsible oversight of agentic AI actually looks like in practice.
- [How to Evaluate and Build the Business Case for Consumer Duty Technology](https://aveni.ai/blog/how-to-evaluate-consumer-duty-technology/): Building a business case for consumer duty technology requires a clear understanding of the regulatory pressure, the operational gaps in your current approach, and the measurable outcomes that matter to your board, your compliance team, and ultimately your customers.
- [Consumer Duty Conduct Risk Monitoring: From Reactive Reviews to Proactive Detection](https://aveni.ai/blog/consumer-duty-conduct-risk-monitoring/): Before Consumer Duty, most firms measured conduct risk through the rear-view mirror. A complaint arrived. The team investigated. Root causes were identified, remediation followed, and lessons were documented. The cycle started again with the next complaint.
- [Aveni selected by Quilter for deployment of  AI powered support across adviser network](https://aveni.ai/blog/aveni-selected-by-quilter-for-deployment-of-ai-powered-support-across-adviser-network/): 24 March 2026 - Quilter Financial Planning, one of the UK’s largest financial advice networks, has selected AI-specialist fintech Aveni to support the introduction of AI into day-to-day advice operations, with its product Aveni Assist now live across its appointed representative firms.
- [Aveni launches industry expert council to tackle AI agent oversight in financial services](https://aveni.ai/blog/aveni-launches-industry-expert-council-to-tackle-ai-agent-oversight-in-financial-services/): Senior leader forum focuses on evolving assurance models for autonomous agent conversation and decision-making
- [How to Implement Consumer Duty Compliance Technology in 90 Days](https://aveni.ai/blog/how-to-implement-consumer-duty-compliance-technology/): This guide walks you through what a Consumer Duty compliance technology implementation actually looks like, broken into a practical 90-day roadmap, so you can plan with confidence and move forward with clarity.
- [9 AI Automations for FCA Suitability Reports in 2026](https://aveni.ai/blog/fca-ai-tools-for-financial-advisers/): If your firm is evaluating AI tools for financial advisers and needs a clear view of what FCA-aligned suitability report automation looks like in practice, book a demo of Aveni Assist or see how Aveni Detect supports Consumer Duty oversight.
- [Consumer Duty Cross-Cutting Rules: What They Mean and How to Evidence Them](https://aveni.ai/blog/consumer-duty-cross-cutting-rules/): The Consumer Duty cross-cutting rules are three behavioural standards that firms must follow when dealing with retail customers. They require firms to:
- [The Essential Consumer Duty Compliance Checklist: 5 Steps to Stronger FCA Evidence](https://aveni.ai/blog/consumer-duty-compliance-checklist/): This guide provides a practical Consumer Duty compliance checklist you can use as a working tool. It is designed to support internal self-assessment, team workshops and ongoing monitoring. The five sections reflect the FCA’s four outcomes, plus a dedicated evidence and monitoring framework.
- [What Counts as ‘Good Evidence’ Under Consumer Duty (and What Fails FCA Reviews)](https://aveni.ai/blog/consumer-duty-evidence/): Firms that build Consumer Duty evidence frameworks that hold up under regulatory scrutiny tend to share several structural characteristics. Their monitoring runs continuously rather than in periodic bursts. Their evidence is built from the interaction level upwards, aggregated into meaningful trends rather than derived from sample extrapolation. Their records are structured so they can be retrieved and presented systematically when the regulator asks for them. And their evidence framework creates a clear, traceable chain from policy through to practice through to outcome.
- [Why Protection Insurance Is Where Consumer Duty Failures Appear First](https://aveni.ai/blog/consumer-duty-protection-insurance/): Consumer Duty protection insurance includes technical features that many customers encounter only once or twice in their lives. Exclusions, waiting and deferral periods, underwriting decisions, medical disclosures, and detailed claim definitions can be difficult to explain clearly.
- [11 AI Automations for Adviser Admin With Compliance Checks](https://aveni.ai/blog/ai-automations-for-advisers/): UK financial advice firms use AI automation to remove repetitive admin from the advice lifecycle while keeping a human in the loop for regulated decisions. The most useful automations sit across four areas: client onboarding, CRM and data updates, scheduling and meeting prep, and documentation including suitability reports and compliance checks. Each one needs a clear audit trail, role-based access, and adviser sign-off before anything reaches the client.
- [7 AI Meeting Tools for UK Financial Advisers in 2026](https://aveni.ai/blog/7-ai-meeting-tools-for-uk-financial-advisers-in-2026/): If you spend more time writing meeting notes than talking to clients, you're not alone. UK financial advisers face growing pressure to document every interaction, update CRMs, and meet FCA Consumer Duty requirements. Aveni offers purpose-built AI meeting tools designed specifically for UK financial advisers to automate these tasks while maintaining regulatory alignment.
- [Is 2% Sampling Still Acceptable Under Consumer Duty? The 98% You’re Missing](https://aveni.ai/blog/consumer-duty-sampling-is-2-percent-still-acceptable/): Consumer Duty sampling is not prohibited. But relying on very small samples can leave large gaps in what a firm actually sees.
- [Consumer Duty Compliance: A Practical Guide for Financial Firms](https://aveni.ai/blog/consumer-duty-compliance-guide/): Consumer Duty compliance requires firms to demonstrate clear evidence that customers receive good outcomes. This guide brings together the key topics firms need to understand, from evidence standards and FCA expectations to the operational challenges of monitoring customer interactions at scale.
- [Aveni proves real-time Agent Assurance in FCA’s inaugural Supercharged Sandbox as firms race to deploy AI agents ](https://aveni.ai/blog/aveni-proves-real-time-agent-assurance-in-fcas-inaugural-supercharged-sandbox-as-firms-race-to-deploy-ai-agents/): 99% of firms plan to put AI agents into production, but only 2% have adequate AI guardrails in place
- [Building a Contextual AI Governance Framework for Financial Institutions](https://aveni.ai/blog/building-a-contextual-ai-governance-framework-for-financial-institutions/): A single, uniform set of controls is rarely appropriate for such a wide range of use cases. What firms need instead is a contextual AI governance framework. One that reflects how and where AI is used, the level of risk involved, and the potential impact on consumers and markets.

## Pages
- [The Mills Review Webinar](https://aveni.ai/cro-series-episode-2-mills-review/): CRO SERIES | EPISODE 2 · ON DEMAND
- [Mills Review landing page](https://aveni.ai/mills-review/): THE MILLS REVIEW · JULY 2026
- [OM Customer Story](https://aveni.ai/octopus-money/): CUSTOMER STORY • OCTOPUS MONEY
- [Agent Approve](https://aveni.ai/approve/): AGENT APPROVE | IN PRODUCTION
- [Agent Assure](https://aveni.ai/assure/): AGENT ASSURE | IN PRODUCTION
- [Webinar Risk 2030: What the Agentic Bank Means for the CRO ](https://aveni.ai/cro-series/): CRO SERIES | EPISODE 1 · ON DEMAND
- [Risk 2030](https://aveni.ai/risk-2030/): By 2030, much of UK banking will be delivered through always-on AI agents — reasoning, acting and adapting in real time. The control frameworks banks built for humans won't hold. This paper sets out how Tier 1 banks should redesign governance, risk oversight and assurance for a world where every customer journey can take its own path.
- [Aveni x Intelliflo 2026](https://aveni.ai/aveni-intelliflo-2026/): AI meeting assistant for financial advisers using intelliflo.
- [Terms and Conditions (IO)](https://aveni.ai/terms-of-service-io/): Last update 31/03/2026
- [Agent Assure Programme](https://aveni.ai/agent-assure-programme/): EARLY PARTNER PROGRAMME
- [Multi-Meeting Suitability Report](https://aveni.ai/multi-meeting-suitability-reports/): Aveni brings together every call, meeting and touchpoint to build complete suitability reports that follow your templates and meet Consumer Duty expectations. You get an accurate, defensible report in minutes.
- [Vision Annual Conference 2026](https://aveni.ai/vision-annual-conference-2026/): Generate meeting notes, update CRM records, and draft client follow-ups in minutes, not hours.
- [Agent Assurance Expert Council](https://aveni.ai/agent-assurance-expert-council/): agent assurance expert coucil
- [Cavendish x Aveni Detect](https://aveni.ai/case-studies/cavendish-aveni-detect/): 100% monitoring of specific test points
- [Octopus Money and Aveni Assist](https://aveni.ai/case-studies/octopus-money-aveni-case-study/): Octopus Money makes financial advice simple, practical and accessible to everyone. AI adoption across its business was a strategic route to support scale and increase efficiency. Aveni’s solutions are an important part of that journey.
- [Aveni Detect – Utilities](https://aveni.ai/aveni-detect-utilities/): AVENI DETECT
- [Aveni Detect for Insurance & Protection Providers](https://aveni.ai/aveni-detect-for-insurance-protection-providers/): Insurance and protection providers handle thousands of customer conversations every day, across sales, servicing and claims. When risk is missed or support is inconsistent, the consequences escalate quickly, complaints, redress, regulatory scrutiny and reputational damage.
- [Transformation Nation](https://aveni.ai/transformation-nation-report/): This report, Transformation Nation: The AI innovation shift in financial services, shows how firms can move from disconnected initiatives to governed, production-grade AI. It sets out what leaders need to put in place to deploy AI safely at scale, with clear accountability and measurable return on investments
- [TC Ray Ban](https://aveni.ai/tc-ray-ban/): The promoter of this competition is Aveni Ltd (company no SC60014), with its registered office at 58 Morrison Street, Edinburgh, EH3 8BP
- [AI-Ray-Ban](https://aveni.ai/ai-ray-ban/): Walk away from today’s event looking cool and thinking smarter  as we’re giving away a pair of AI-powered Ray-Ban sunnies!
- [Advanta Wealth](https://aveni.ai/case-studies/advanta-wealth/): A core driver for Advanta in adopting AI was to address inefficiency in the advice journey. The goal was to better enable advisers to use their time and skill sets to deliver maximum value - providing individual adviser satisfaction and delivering good client outcomes which supports Advanta’s longer term strategic aims.
- [Document Generation](https://aveni.ai/document-generation/): Aveni Assist automates adviser-led document creation using client data and firm-approved templates. Generate accurate, on-brand reports at speed, with built-in compliance checks.
- [Wealth Consolidators](https://aveni.ai/wealth-consolidators/): Wealth consolidators are under pressure to deliver efficiency gains across diverse, acquired firms. But disparate systems and workflows make standardisation costly and slow.
- [National Wealth Firms](https://aveni.ai/national-wealth-firms/): UK wealth firms face a dual challenge: scale adviser capacity and stay compliant under rising regulatory pressure.
- [Advice Networks](https://aveni.ai/advice-networks/): Show ROI before year-end, evidence Consumer Duty outcomes, and set your network apart as a leader in compliance and adviser productivity with AI for advice networks.
- [Prosser Knowles](https://aveni.ai/case-studies/prosser-knowles/): Prosser Knowles is a UK-based financial planning and wealth management business. In 2024 as part of a wider strategic review into productivity and efficiency enhancement across its business, a range of technology-based solutions were considered. The integration of AI technology was deemed essential as part of this digital transformation, with particular focus on implementing an AI financial advisor assistant to reduce administrative burden and improve client service efficiency.
- [DFM’s Private Banks](https://aveni.ai/private-banks/): Advisers in DFMs and private banks need to focus on clients, not admin. Our AI for private banks streamlines documentation, safeguards sensitive client conversations, and ensures Consumer Duty compliance, all without compromising the bespoke experience your clients expect.
- [Sovereign AI in Financial Services](https://aveni.ai/sovereign-ai-in-financial-services/): This whitepaper, Sovereign AI in Financial Services: Taking Back Control of the Future, explains why sovereignty is the only path to resilience, competitiveness, and trust.
- [Octopus Money Case Study](https://aveni.ai/case-studies/octopus-money/): Octopus Money makes financial advice simple, practical and accessible to everyone. Its model offers highly personalised 1-to-1 coaching and advice, underpinned by a powerful technology platform. Octopus Money implemented Aveni Detect and Aveni Assist in 2024 and has rolled out both solutions across its customer-facing teams. The decision to consider AI-driven solutions was two-fold: to enable customers to receive the best support possible, whilst ensuring the requirements of Consumer Duty compliance are being fully met. 
- [Aveni Assist Request a Demo](https://aveni.ai/aveni-assist-request-a-demo-2/)
- [Contact us](https://aveni.ai/contact-us/): Contact us
- [Age Group Case Study](https://aveni.ai/case-studies/age-group/): Aveni is working closely with one of the UK’s leading equity release advisory firms to transform its Quality Assurance monitoring capabilities with enhanced coverage, speed and accuracy.
- [Aveni Detect Case Study](https://aveni.ai/case-studies/aveni-detect/): In the complex, high-stakes world of financial services, firms face mounting pressure to safeguard customer outcomes, meet strict regulatory requirements, and drive operational efficiency. Aveni Detect is helping firms achieve these goals at speed and scale, reshaping how compliance and risk management are delivered.
- [Key Group Case Study](https://aveni.ai/case-studies/key-group/): Due to multiple lines of defence, at times manual reviews were being duplicated by different teams. Key also wanted to improve the way it identified and served its vulnerable customers. Historically, identifying customer vulnerability or those who are at high risk has been the role of an adviser, requiring them to flag a potential issue for further investigation. The challenge there is that identification of vulnerability is often subjective and case reviews were lengthy.
- [Case Studies](https://aveni.ai/case-studies/): AI in Action: Proven Results Across Financial Services Discover how leading firms are applying Aveni’s AI solutions to solve real challenges - from boosting adviser productivity to automating compliance - while achieving measurable business impact. How Advanta Wealth freed advisers from admin to focus on clients Read full Case Study AI Integration Success: How Prosser Knowles Achieved 60% Admin Reduction Read full Case Study 83% Faster Compliance Reviews: From 90 Minutes to 15 Minutes per Case Read full Case Study 6x Faster QA: How Key Group Automated Reviews for 55,000+ Customers Read full Case Study Equity Release Automation: From Setup to Results in 2 Weeks Read full Case Study 15% to 100% Coverage: How Octopus Money Achieved Complete Team Oversight Read full Case Study The FS productivity revolution starts here. Book a demo today
- [Aveni / intelliflo partnership](https://aveni.ai/aveni-intelliflo-partnership/): intelliflo office integrated GPT-powered assistant to make advice smarter, simpler and more efficient than ever before.
- [Future of Financial Advice Report Landing Page](https://aveni.ai/the-future-of-financial-advice/): Unlocking a £50 Billion opportunity
- [Customer Report Interactive](https://aveni.ai/customer-report-interactive/): How AI Could Unlock a £50 Billion Financial Advice Market Insights from 2,000+ consumers about their attitudes to Financial Advice If AI tools could make financial advice cheaper, to what extent would you be happy with your adviser using AI to help give you advice and recommendations Jeff Lange,
CEO of TFAS Enterprise While AI is not a replacement for human connection and the personal relationships held between an adviser and a client, it has the potential to democratise financial advice. By increasing accessibility, it can ensure that more people, regardless of their background or financial status, have the opportunity to achieve better financial outcomes. Jeff Lange,
CEO of TFAS Enterprise While AI is not a replacement for human connection and the personal relationships held between an adviser and a client, it has the potential to democratise financial advice. By increasing accessibility, it can ensure that more people, regardless of their background or financial status, have the opportunity to achieve better financial outcomes. What concerns would you have of an adviser using AI to assist in providing financial advice? 60% of higher socioeconomic status show comfort with AI driven financial tools vs. 40% of working class. If AI tools could make your adviser more accessible, to what extent would you be happy for your adviser to use it? Parenthood Transforms Financial Perspectives: Dramatic variation in payment willingness based on children - only 9% of childless individuals would pay £51-£100, compared to 45% of parents with one child. David Kaye,
CEO of Puma Investments This research reinforces the importance of financial advice and maintaining personal relationships while also highlighting the potential for advice firms to materially improve their service to clients by adopting AI technology. In particular, this technology has the capability to reduce substantially the administrative burden on advisers freeing them up to devote more time to meeting their clients’ needs. David Kaye,
CEO of Puma Investments This research reinforces the importance of financial advice and maintaining personal relationships while also highlighting the potential for advice firms to materially improve their service to clients by adopting AI technology. In particular, this technology has the capability to reduce substantially the administrative burden on advisers freeing them up to devote more time to meeting their clients’ needs. Download the report
- [CAB](https://aveni.ai/aveni-customer-advisory-board/): This collaborative forum is designed to tackle the industry's most pressing challenges - from regulatory complexity and operational inefficiencies to evolving client expectations. As part of these discussions, we’ll also explore into Aveni’s latest innovations, product developments, and roadmap - ensuring our technology continues to evolve in line with the needs of the industry.
- [Aveni Assist: Request a Demo](https://aveni.ai/aveni-assist-request-a-demo/): Dive into your interactive walkthrough of Aveni Assist and see how it can make your work easier and more efficient.
- [Aveni Assist IO demo](https://aveni.ai/aveni-assist-io-demo/): Dive into your interactive walkthrough of Aveni Assist and see how it can make your work easier and more efficient.
- [Careers](https://aveni.ai/careers/): Built with diverse, creative, and passionate humans, Aveni’s people are at the heart of what we do.
- [About us](https://aveni.ai/about-us/): Aveni is an award-winning financial AI company transforming how financial institutions handle compliance, risk management, and client interactions. Our FinLLM technology and domain-specific AI solutions help banks, advisers, and wealth managers automate complex processes while ensuring regulatory compliance. Trusted by leading UK financial institutions.
- [Consumer Duty Use Case](https://aveni.ai/consumer-duty/): AI to help you stay ahead of Consumer Duty expectations
- [Advice Team Manager](https://aveni.ai/advice-team-manager/): Understand what performance excellence means and use it to drive success across your advisers.

## Jobs
- [Senior Software Engineer](https://aveni.ai/opportunity/senior-software-engineer/)
- [Customer Success Manager](https://aveni.ai/opportunity/customer-success-manager/)
- [Principal Solutions Consultant](https://aveni.ai/opportunity/principal-solutions-consultant/)
- [Solutions Engineer](https://aveni.ai/opportunity/solutions-engineer/)

## Resources
- [How Aveni Reduced AI Hallucination Risk in Financial Fact Finds](https://aveni.ai/resources/how-aveni-reduced-ai-hallucination-risk-in-financial-fact-finds/): The problem with "close enough" in financial advice
- [Vulnerability Detection in Financial Services: When AI Reads Between the Lines](https://aveni.ai/resources/ai-vulnerability-detection-in-financial-services/): Financial advisers talk to clients for a living. Those conversations cover a lot of ground: investment options, pension planning, life changes. But sometimes, buried in an hour-long call, a client mentions something that matters in a different way. A health diagnosis. A job loss. A relationship breakdown.
- [Inside FinLLM: A Year Building the UK’s Financial Intelligence Model](https://aveni.ai/resources/finllm-year-in-review/): Read the full FinLLM year in review now →
- [Sovereign AI in Financial Services: Taking Back Control of the Future](https://aveni.ai/resources/sovereign-ai-in-financial-services-taking-back-control-of-the-future/): The financial sector deserves AI it can trust, AI that keeps data onshore, aligns with UK regulation, and is crafted for its unique challenges. This white paper, Sovereign AI in Financial Services: Taking Back Control of the Future, explores why data sovereignty, regulatory alignment, and domain-specific design are essential for AI adoption across UK financial services. It also explains how FinLLM by Aveni brings these principles into practice.
- [FinLLM Safety, Ethics, and Value Report](https://aveni.ai/resources/finllm-safety-ethics-and-value-report/): When deploying AI in financial services, you need more than performance. You need provable safety, regulatory alignment, and risk mitigation. FinLLM delivers all three without compromising operational efficiency.
- [Mind the gap: How trust and technology are impacting the evolution of financial advice and wealth management](https://aveni.ai/resources/trust-and-technology-webinar/):    
- [Bridging the Financial Advice Gap: Leveraging AI to Enhance Remote Advisory Services and Mitigate Risks](https://aveni.ai/resources/bridging-financial-gap/): How can AI and data-driven insights help financial firms bridge the vulnerability gap and meet Consumer Duty standards?
- [Consumer Duty Board Report Template](https://aveni.ai/resources/consumer-duty-board-report-template/): Our Consumer Duty Board Report template has been developed to help companies create a board and regulator-ready report that clearly demonstrates compliance across all four of the Consumer Duty areas: Product & Service, Price & Value, Consumer Understanding, and Consumer Support.
- [Hallucinations in Large Multilingual Translation Models](https://aveni.ai/resources/hallucinations-machine-translation/): The paper "Hallucinations in Large Multilingual Translation Models" examines hallucinations in machine translation systems. These are situations where the generated translation diverges significantly from the meaning of the source. Hallucinations cause a variety of challenges, especially in systems designed to handle multiple languages. They significantly affect translation of languages that have limited resources available for machine learning and language processing tasks.
- [Assessing the Reliability of Large Language Model Knowledge](https://aveni.ai/resources/reliability-of-large-language-model/): With the increasing use of large language models (LLMs), it's important to understand their capabilities and limitations. This research paper, "Assessing the Reliability of Large Language Model Knowledge," focuses on evaluating LLMs to determine their factual reliability.
- [Generic vs Financial Services Specific Gen AI – which AI should drive your business?](https://aveni.ai/resources/generic-vs-financial-services-specific-gen-ai-which-ai-should-drive-your-business/)
- [Aveni Assist explainer video](https://aveni.ai/resources/aveni-assist/): Aveni Assist, the GPT-powered AI assistant has been designed specifically for the financial advice market to transform administrative tasks, allowing advisers to focus on supporting a significantly greater number of consumers. This new product will enhance productivity by up to 3x for wealth and financial advisers, cut administrative tasks from hours to minutes, and demonstrate how AI can genuinely impact the sector, whilst keeping humans at the core of advice provision.
- [AI’ll Grow Arms & Legs: Emergence](https://aveni.ai/resources/aill-grow-arms-legs-emergence/)
- [An Introduction to ChatGPT and Large Language Models in Financial Advice](https://aveni.ai/resources/an-introduction-to-chatgpt-and-large-language-models-in-financial-advice/)
- [The rise of Regtech](https://aveni.ai/resources/the-rise-of-regtech/)
- [Consumer Duty and fintech innovation](https://aveni.ai/resources/podcast-consumer-duty-and-fintech-innovation/)
- [DC Tech Talks: ChatGPT and NLP in Financial Services](https://aveni.ai/resources/dc-tech-talks-chatgpt-and-nlp-in-financial-services/)
- [Demonstrating Consumer Duty compliance with technology](https://aveni.ai/resources/demonstrating-consumer-duty-compliance-with-technology/)
- [Vulnerable Customers](https://aveni.ai/resources/vulnerable-customer/)
- [Adoption of Machine Learning in human-centred advice](https://aveni.ai/resources/adoption-of-machine-learning-in-human-centred-advice/)
- [Chief Risk Officer Consumer Duty Survey Results](https://aveni.ai/resources/chief-risk-officer-consumer-duty-survey-results/)
- [Managing Customer Vulnerability](https://aveni.ai/resources/managing-customer-vulnerability/)
- [A Machine Line of Defence with Auto QA](https://aveni.ai/resources/a-machine-line-of-defence-with-auto-qa/)
- [Agent Performance and Coaching](https://aveni.ai/resources/agent-performance-and-coaching/)
- [AI: Why an executive understanding is so important](https://aveni.ai/resources/ai-why-an-executive-understanding-is-so-important/)
- [Consumer Duty Solutions Series: What does a data-driven regulator expect from you?](https://aveni.ai/resources/consumer-duty-solutions-series-what-does-a-data-driven-regulator-expect-from-you/)
- [Consumer Duty Solutions Series: 3 risks firms need to address to be compliant](https://aveni.ai/resources/consumer-duty-solutions-series-3-risks-firms-need-to-address-to-be-compliant/)
- [Consumer Duty: Your Machine Line of Defence](https://aveni.ai/resources/consumer-duty-brochure/)
- [Consumer Duty Report](https://aveni.ai/resources/9067/)
- [Risk monitoring transformation at a leading UK bank](https://aveni.ai/resources/risk-monitoring-transformation-at-a-leading-uk-bank/)
- [Key Group Case Study](https://aveni.ai/resources/key-group-case-study-2/)
- [Quality Assurance: a box ticking exercise or the key to business success?](https://aveni.ai/resources/8530/)
- [Improve Quality Assurance processes](https://aveni.ai/resources/improve-quality-assurance-processes/)
- [Ensure the fair treatment of vulnerable customers](https://aveni.ai/resources/ensure-the-fair-treatment-of-vulnerable-customers/)
- [Drive contact centre efficiency](https://aveni.ai/resources/drive-contact-centre-efficiency/)
- [Risk Monitoring and Advisor Insight](https://aveni.ai/resources/risk-monitoring-and-advisor-insight/)
- [Understanding Aveni’s customer engagement process](https://aveni.ai/resources/understanding-avenis-customer-engagement-process/)
- [Transformational efficiency direct from the customer voice](https://aveni.ai/resources/transformational-efficiency-direct-from-the-customer-voice/)
- [How Financial Services firms can ensure the fair treatment of vulnerable customers](https://aveni.ai/resources/how-financial-services-firms-can-ensure-the-fair-treatment-of-vulnerable-customers/)

## Glossary
- [Targeted Support](https://aveni.ai/glossary/targeted-support/): Targeted support is a new FCA regulated activity that allows authorised firms to make ready-made suggestions to groups of consumers who share common characteristics, sitting between generic guidance and full personal advice.
- [Small Language Models (SLM)](https://aveni.ai/glossary/small-language-models-slm/): Small language models (SLMs) are AI models trained on a smaller volume of parameters than large language models, typically optimised for a narrower set of tasks or a specific domain.
- [Sandbox](https://aveni.ai/glossary/sandbox/): A sandbox is a controlled testing environment that allows firms to trial new products, services or technologies under regulatory supervision but without the full set of authorisation requirements that would normally apply.
- [Risk Taxonomy](https://aveni.ai/glossary/risk-taxonomy/): A risk taxonomy is a structured framework that defines and categorises the risks an organisation faces. In financial services, it groups risks into categories such as conduct, operational, financial crime, regulatory and technology risk, with each category broken down into specific risk types.
- [Mills Review](https://aveni.ai/glossary/mills-review/): The Mills Review is a forward-looking FCA review into the long-term impact of advanced AI on retail financial services through to 2030 and beyond.
- [Consumer Duty Cross-Cutting Rules](https://aveni.ai/glossary/consumer-duty-cross-cutting-rules/): The Consumer Duty cross-cutting rules are three behavioural standards that sit under Principle 12 of the FCA Handbook. They require firms to act in good faith towards retail customers, avoid causing foreseeable harm, and enable and support customers to pursue their financial objectives.
- [Aveni Detect](https://aveni.ai/glossary/aveni-detect/): Aveni Detect is an AI-powered quality assurance and compliance monitoring platform for financial services firms. It analyses 100% of adviser-client interactions across voice and digital channels, surfacing risk, vulnerability indicators and Consumer Duty evidence at scale. Detect helps QA, compliance and risk teams move from sample-based reviews to full-population oversight.
- [Aveni Assist](https://aveni.ai/glossary/aveni-assist/): Aveni Assist is an AI productivity tool built for financial advisers. It captures and analyses adviser-client conversations, generates suitability report drafts, fact-find summaries and meeting notes, and integrates with Intelliflo Office and Xplan, alongside MS Teams, Google Meet, Zoom and Webex. Aveni Assist is designed to reduce the administrative burden on advisers so they can spend more time with clients.
- [Advice Guidance Boundary Review](https://aveni.ai/glossary/advice-guidance-boundary-review/): The Advice Guidance Boundary Review (AGBR) is a joint initiative between the FCA and HM Treasury examining the regulatory boundary between regulated financial advice and other forms of consumer support. It aims to close the UK's advice gap by introducing new ways for firms to help consumers make decisions about pensions and retail investments. Targeted support and simplified advice are the two main propositions emerging from the review.
- [Misalignment](https://aveni.ai/glossary/misalignment/): Misalignment refers to AI systems producing outputs that deviate from financial services regulatory requirements, industry standards or firm policies, even when technically functional.
- [Bias](https://aveni.ai/glossary/bias/): Bias in AI systems occurs when models produce systematically skewed outputs that unfairly favour or disadvantage certain groups or perspectives.
- [Toxicity](https://aveni.ai/glossary/toxicity/): Toxicity in AI refers to harmful, offensive or inappropriate content that a model might generate or fail to identify.
- [Hallucination](https://aveni.ai/glossary/hallucination/): Hallucination occurs when an AI model generates information that appears plausible but is factually incorrect or entirely fabricated.
- [AI Governance](https://aveni.ai/glossary/ai-governance/): AI governance encompasses the frameworks, policies and processes that organisations establish to ensure artificial intelligence is deployed responsibly, ethically and in compliance with regulatory requirements.
- [SM&CR](https://aveni.ai/glossary/smcr/): SM&CR (Senior Managers and Certification Regime) is the UK regulatory framework that holds individuals accountable for their conduct and competence within financial services firms.
- [Synthetic Data](https://aveni.ai/glossary/synthetic-data/): Synthetic data is artificially generated information that mimics the statistical properties and patterns of real data without containing actual client or business records.
- [Sovereign AI](https://aveni.ai/glossary/sovereign-ai/): Sovereign AI refers to artificial intelligence systems that operate within a specific jurisdiction's regulatory and data governance framework, ensuring data sovereignty and compliance with local laws.
- [Meeting Agent](https://aveni.ai/glossary/meeting-agent/): A meeting agent is an AI system designed to automatically capture, analyse and document adviser-client conversations.
- [API Key](https://aveni.ai/glossary/api-key/): An API key is a unique identifier used to authenticate and authorise access to an API. It acts as a secure credential that verifies the identity of the application or user making the request and controls what data or functionality they can access.
- [API](https://aveni.ai/glossary/api/): An API (Application Programming Interface) is a set of protocols that allows different software systems to communicate and share data with each other.
- [Task Registry](https://aveni.ai/glossary/task-registry/): A task registry is a structured catalogue of the specific actions and workflows that an AI agent can perform. It defines what tasks are available, the parameters each task requires and the conditions under which tasks can be executed.
- [Agentic AI](https://aveni.ai/glossary/agentic-ai/): Agentic AI refers to artificial intelligence systems that can act autonomously to achieve defined goals, making decisions and taking actions without requiring step-by-step human guidance.
- [Agent](https://aveni.ai/glossary/agent/): An agent is an AI system designed to perform specific tasks autonomously on behalf of a user. Unlike simple chatbots that respond to queries, agents can take actions, make decisions within defined parameters and complete multi-step workflows without constant human intervention.
- [Retrieval Augmented Generation (RAG)](https://aveni.ai/glossary/retrieval-augmented-generation-rag/): Retrieval Augmented Generation is a technique that enhances AI model responses by combining generative capabilities with real-time information retrieval.
- [Suitability Report](https://aveni.ai/glossary/suitability-report/): A suitability report is a document produced by a financial adviser that explains why a specific product or recommendation is appropriate for a client’s individual circumstances. It outlines the client’s objectives, financial situation and risk profile, then sets out the adviser’s reasoning, any alternatives considered and the associated costs. Suitability reports provide transparency for clients and evidence for regulators that advice is tailored, compliant and in the client’s best interests.
- [AI Hallucination](https://aveni.ai/glossary/ai-hallucination/): AI hallucination refers to when an artificial intelligence system generates false or incorrect information, presenting it as if it is true.
- [Horizontal AI](https://aveni.ai/glossary/horizontal-ai/): Horizontal AI, often called generic AI, is an AI system designed to perform broadly across multiple domains instead of being specialised for a single area, such as vertical AI.
- [Vertical AI](https://aveni.ai/glossary/vertical-ai/): Vertical AI are artificial intelligence systems designed for a specific industry. Unlike generic AI, which aims to work well within a variety of platforms and situations, vertical AI focuses on excelling in one narrow area. 
- [Large Language Models (LLM)](https://aveni.ai/glossary/large-language-models-llm/): A Large Language Model (LLM) is a type of Artificial Intelligence (AI) that can process human language.
- [Human in the Loop (HITL)](https://aveni.ai/glossary/human-in-the-loop-hitl/): Human in the Loop (HITL), in the context of Machine Learning (ML), is a model or programme that requires human interaction and intelligence to ensure the correct results.
- [Generative AI](https://aveni.ai/glossary/generative-ai/): Generative AI refers to Artificial Intelligence capable of creating new content inspired by, but not identical to, human-generated content.
- [Deep Learning](https://aveni.ai/glossary/deep-learning/): Deep Learning is a type of Machine Learning (ML) that uses Artificial Intelligence (AI) to create neural networks that are modelled after the human brain.
- [Chatbots](https://aveni.ai/glossary/chatbots/): Chatbots are computer programmes that can have conversations with humans using natural language. They are designed to simulate how a human would behave as a conversational partner, and can respond to questions, requests, and general conversation.
- [Advice Gap](https://aveni.ai/glossary/advice-gap/): This term refers to the situation where many people do not have access to professional financial advice that could help them make better decisions about their money.
- [Regulatory Technology (Regtech)](https://aveni.ai/glossary/regtech/): Regulatory Technology or “Regtech” helps financial institutions to navigate the ever-changing landscape of regulations and compliance. It ensures that they are always operating to the most up to date requirements.
- [Outcome Testing Teams (OTT)](https://aveni.ai/glossary/outcome-testing-teams/): Outcome Testing Teams (OTT) are teams within financial services organisations that assess and analyse the real-world impacts of Artificial Intelligence (AI).
- [FG21/1: The FCA’s guidance on the fair treatment of vulnerable customers](https://aveni.ai/glossary/fair-treatment-of-vulnerable-customers/): FG21/1 is a guidance issued by the Financial Conduct Authority (FCA) focused on the fair treatment of vulnerable customers by financial firms.
- [Customer Outcomes](https://aveni.ai/glossary/customer-outcomes/): When it comes to the Financial Conduct Authority’s (FCA) Consumer Duty regulation, customer outcomes refer to the impacts that financial products and services will have on its customers.
- [Consumer Duty](https://aveni.ai/glossary/consumer-duty/): The Financial Conduct Authority’s (FCA) Consumer Duty regulation is a set of rules that requires financial firms to prioritise their customers’ interest when providing services and offering financial products.
- [Models](https://aveni.ai/glossary/models-nlp/): In Natural Language Processing (NLP), a model is an AI system trained to understand, interpret, and generate human language.
- [Vulnerable Customer](https://aveni.ai/glossary/vulnerable-customer/): The Financial Conduct Authority (FCA) definition of a vulnerable customer is someone who, due to their personal circumstances, is especially susceptible to harm, particularly when a firm is not acting with appropriate levels of care.
- [Sentiment Analysis](https://aveni.ai/glossary/sentiment-analysis/): Sentiment analysis is a technique in Natural Language Processing (NLP) used to identify the emotional tone of spoken or written words.
- [Financial Inclusion](https://aveni.ai/glossary/financial-inclusion/): Financial inclusion ensures customers are able to access useful and affordable mainstream financial products and services that best meet their needs.
- [Transient Vulnerability](https://aveni.ai/glossary/transient-vulnerability/): Transient vulnerability is a temporary or short-term period of vulnerability for a customer, such as someone going through a divorce or the loss of a loved one.
- [Speech Analytics](https://aveni.ai/glossary/speech-analytics/): Speech analytics does exactly what it says on the tin. It analyses speech. It sounds a lot like Natural Language Processing (NLP) because NLP is a tool of speech analytics.
- [Natural Language Processing (NLP)](https://aveni.ai/glossary/natural-language-processing-nlp/): Natural Language Processing (NLP) helps machines to better understand human language. Computers can easily identify keywords and understand the literal meaning of words, but it lacks the nuance of human speech patterns, so it misses things like sarcasm.
- [Machine Learning (ML)](https://aveni.ai/glossary/machine-learning-ml/): Machine Learning (ML) is a type of Artificial Intelligence (AI) that allows software applications to carry out actions that they’ve not been explicitly programmed to do.
- [Artificial Intelligence (AI)](https://aveni.ai/glossary/artificial-intelligence-ai/): Artificial Intelligence (AI) is a branch of computer science that develops computers and machines to process tasks that would otherwise be performed by natural (human) intelligence.

## Testimonials
- [David Wing, Director of Risk & Compliance, Age Partnership](https://aveni.ai/testimonial/david-wing-director-of-risk-compliance-age-partnership/): Ultimately, the technology provided by Aveni Detect helps us at Age Partnership to build upon the high level of service and advice that we provide to every individual client.
- [Sheriden Davy, CRO, James Sharp](https://aveni.ai/testimonial/james-sharp/): Offering our clients a personalised service is a central part of our proposition. Using Aveni Detect enables us to monitor our client interactions to ensure that we are communicating with and supporting our customers effectively.
- [Will Hale, CEO Key Group](https://aveni.ai/testimonial/will-hale-ceo-key-group/): Beyond efficiency, this partnership will allow us to drive greater transparency and oversight, and help us to better identify vulnerable and other high-risk customers.
- [Investment Management Firm](https://aveni.ai/testimonial/investment-management-firm/): Aveni's data has really helped us get a clear picture of the vulnerabilities and dissatisfactions our agents have been encountering on calls. It has been critical in helping us to prioritise focus when it comes to honing our product proposition.
- [UK Financial Advice firm](https://aveni.ai/testimonial/a-client-2/): I have to say how impressed I am with Aveni Assist – not just the report outputs but also the CRM element and in particular the summary panel. This will be incredibly helpful for my advisers.
- [Age Partnership](https://aveni.ai/testimonial/age-partnership-2/): Working with Aveni has been a pleasure. Communication and regular meetings throughout the implementation process have been excellent and it has been easy to catch up on an ad hoc basis when required.
- [Age Partnership](https://aveni.ai/testimonial/age-partnership/): They’re an exceptionally knowledgeable team with a can-do attitude which is invaluable when deploying tech solutions of this nature.
- [Key Group](https://aveni.ai/testimonial/key-group/): I’m excited to explore the technology and how it can enhance our customer insight and adviser performance, whilst delivering remarkable time savings in our Quality Assurance teams.
- [Key Group](https://aveni.ai/testimonial/a-client/): The team at Aveni are a pleasure to work with. The enthusiasm for their software is infectious.
- [Key Group](https://aveni.ai/testimonial/karen-yue/): "A QA process that used to take 90 minutes per case, now takes 15 minutes using Aveni Detect."