An IBSi Views podcast featuring Azentio
AI is now firmly on the agenda for banks, insurers, and financial institutions. As adoption matures, the pressure is moving toward responsible deployment, effective governance, and the ability to scale AI into production environments.
In the latest episode of the IBSi Views podcast, Puja Sharma of IBS Intelligence speaks with Alfred Quertier, Field CTO at Azentio, about the practical realities of AI adoption across highly regulated BFSI markets.
The discussion explores what stands between AI ambition and operational impact, including legacy architecture, fragmented data, regulatory expectations, governance models, and explainability requirements. Alfred shares where AI is beginning to deliver measurable value across AML, fraud detection, customer visibility, and insurance claims processing.
The episode also examines the rise of agentic AI in banking and insurance, with a focus on the guardrails, oversight, and accountability needed to support responsible adoption.
Listeners will gain insight into:
- The challenges preventing AI from scaling across BFSI
- Production-ready use cases delivering measurable business value
- Why governance and explainability matter in regulated environments
- The opportunities and limits of agentic AI
- How institutions can balance innovation, trust, and compliance
From reducing AML false positives to accelerating claims processing and improving customer visibility, the conversation reinforces a clear message: the next phase of AI in BFSI will be defined by execution.
Listen to the full episode to explore how financial institutions can move AI from ambition to accountable, production-ready impact.
Listen now