Only monitoring risks in 1% of your calls?
We'll unlock the other 99%
Sharper monitoring on 100% of your customer interactions.
We use speech analytics to automate the identification and assessment of vulnerability, conduct, complaints, financial crime and so much more.
More than just risk detection
Our monitoring platform doesn’t just flag risks, we use voice analytics to rapidly assess high risk interactions, highlight the exact point in the call you need to take a look at, help you understand why it’s a risk and provide you with the next best action live or post-call.
“It has been a pleasure working with Jamie, Amy and the team at Aveni, their enthusiasm for their software is infectious. I am excited to explore the AI and NLP technology and how it can enhance our customer insight and adviser performance, whilst delivering remarkable time savings in our Quality Assurance teams.”
Now you're talking
From analysing only 1% of calls to 100%
Aveni Detect’s Risk Monitoring software uses groundbreaking Natural Language Processing (NLP) to analyse 100% of your customer interactions. We’ll help you boost monitoring efficiency whilst ensuring every customer is fairly treated.
Spend time on what matters
We ensure you make the most of their time by giving you the insights to better prioritise your team’s activity and focus on the highest risk interactions. We even go one step further. Our monitoring platform doesn’t just flag risk, it rates it, ranks it and pinpoints the exact place within the call that assessors need to look at.
Need real-time risk monitoring?
Move from second-line control to risk monitoring at the point of sale or service. Eliminate exposure with Aveni Detect speech analytics in real time.
Sparked your curiosity?
Keep up to date with the latest in Natural Language Processing (NLP), Financial Services, news, opinions and Aveni life.
During our very first webinar, we discussed practical ways in which companies can better identify customer vulnerability, understand how it changes over time and what
Speech analytics does exactly as it suggests – analyses speech. In practice, this often means transcribing spoken word into text and using case-specific automated tagging