TIME called out weak AI safety. FinLLM shows how it can be done properly.
FinLLM and the Case for Domain-Specific AI Safety When TIME recently called out major AI labs for treating safety as “PR theatre,” they highlighted a fundamental problem plaguing the industry. Their sharp critique exposed a troubling pattern: public commitments to responsible development undermined by internal uncertainty, limited resourcing, and operational confusion. At major labs like […]
Introducing FinLLM: The First GenAI Model Built for UK Financial Services
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 […]
Enterprise AI Implementation Framework: Moving Beyond Pilots to Production
The early success of an Artificial Intelligence (AI) pilot often sparks excitement. A strong proof of concept (PoC) can demonstrate clear potential and generate internal momentum. Yet many organisations discover that moving from a controlled experiment to a fully operational, enterprise-wide system is more difficult than expected. Promising pilots sometimes turn into costly lessons that […]
AI Guardrails and Monitoring That Actually Work in Financial Services
AI guardrails and monitoring in financial services require precision that goes far beyond standard technology implementations. While other industries can tolerate occasional mistakes or minor biases, financial services operates under a different standard. A single AI error can result in regulatory violations, customer harm, or reputational damage that takes years to repair. The challenge facing […]
Market turbulence signals a turning point for AI
The sell-off in US tech stocks following the MIT report highlights a growing disconnect between hype and real-world impact. If 95% of generative AI pilots are failing to deliver measurable returns, it’s not a failure of AI as a concept but a failure of approach. The current race to deploy general-purpose, one-size-fits-all systems has left […]
Building Trust: How FinLLM’s Safety Framework Protects Your Firm
Financial services leaders know that trust takes years to build and seconds to lose. Recent research reveals the stark reality of AI incidents in financial services: AI incidents cause an average short-term loss of 21% in stock value for affected banks and financial institutions, with negative impacts spreading across the entire financial industry. (3) The […]
AI Governance: Building Trust and Compliance in Financial Services
The financial services sector faces a unique challenge with AI adoption. While technology promises operational efficiency and enhanced customer outcomes, the stakes are higher than in any other industry. One misstep can result in regulatory breaches, customer harm, and reputational damage that takes years to repair. This reality demands a fundamentally different approach to AI […]
Enterprise-Grade Suitability: Scaling Compliance and Consistency Across Large Networks
Picture this: Your 500-adviser network produces 25,000 suitability reports annually. Each takes 90 minutes to complete manually. That’s 37,500 hours, the equivalent to hiring 18 full-time paraplanners just to handle documentation. Yet time isn’t your biggest problem. Inconsistency is. Large advisory firms juggle hundreds or thousands of client cases, and each Suitability Report must be […]
What Financial Services Leaders Can Learn from OpenAI’s Privacy Wake-Up Call
The recent privacy incidents at OpenAI serve as a stark reminder that even industry leaders are not immune to data security failures. From internal messaging breaches that exposed discussions about AI technologies to ChatGPT shared conversations appearing in public search results, these incidents underscore a critical truth: when it comes to AI in financial services, […]
Opening Night: What the Fringe Can Teach Us About AI in Finance
Summary: UK financial institutions can learn from Edinburgh Fringe’s evolution with AI – moving from scepticism to strategic partnership whilst maintaining human creativity at the core. Like successful Fringe performances, AI in finance requires careful staging, audience understanding, and authentic integration rather than replacement. Key Takeaways for Financial Leaders Regulatory Reality: 75% of financial firms […]
Aveni knocking at the door of Number 10
Last week Aveni was on the road, but not just any road – this time one of the most famous addresses: No 10 Downing Street. Our Chief Product Officer Benjamin Cave represented Aveni at the inaugural UK Sovereign AI Forum alongside NVIDIA and the Department for Science, Innovation and Technology. The session was co-hosted by […]
Why Financial Advice Teams Are Burning Out and How AI Can Change That
How does AI improve productivity in financial advice firms? AI improves productivity by automating admin tasks, streamlining compliance checks, and freeing teams to focus on client outcomes. Key benefits of AI for financial services: Automates meeting notes, CRM updates, and documentation Reduces time spent on manual compliance reviews Identifies risks and vulnerabilities in real time […]
The Psychology of AI Adoption: How to Successfully Implement Automation Tools in Financial Services
The promise of AI automation in financial services is transformative: faster processes, lower compliance risk, liberated employee time, and better customer outcomes. Yet, even the best tools (like Aveni Assist 😉) can stumble if they aren’t adopted properly by the people they’re designed to empower. Why? Because introducing AI into a business isn’t just a […]
