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.
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This case study explores the real-world results delivered by Aveni Detect, with tangible proof points and clear benefits for organisations seeking to modernise their approach to quality assurance (QA) and compliance.
Risk and compliance teams have traditionally relied on labour-intensive manual processes:
Quality Assurance agents spending up to 90 minutes reviewing a single case.
Heavy dependence on random sampling, which leaves compliance blind spots.
Only a small fraction of total customer calls being reviewed.
Overworked teams bogged down in time-consuming listening tasks, unable to focus on higher-value analysis.
In a regulated industry where consumer protection is paramount, these outdated processes are not just inefficient, they are risky.
90 minutes per QA review
Limited sample coverage
High resource drain
Aveni Detect revolutionises compliance processes through AI-driven automation that analyses 100% of customer interactions, no sampling required. The platform pinpoints risks, highlights vulnerability, and equips compliance teams with actionable insights at unprecedented speed.