About this episode

Dr Andree Bates interviews Jocelyn Houle about the future of enterprise AI, focusing on agents, automation, and the importance of trust.

Enterprise AI is shifting from experiments to infrastructure, and that changes everything. In this episode, Dr Andree Bates interviews Jocelyn Houle , Senior Director of Product Management at Securiti.ai , to explore the future of enterprise AI, agents, automation, and the single biggest blocker to scale: trust. Jocelyn shares what she is seeing across highly regulated industries as organisations move beyond proof of concept into production. She explains why the agent era raises the stakes: when you add LLMs into workflows, systems become non-deterministic and harder to trace end to end. In her words, once the data goes in, you cannot easily untangle it, so organisations need stronger controls around permissions, auditing, and policy enforcement. A major theme is that data foundations matter more than ever. Jocelyn warns that agents will not magically repair messy data, they will expose weak data quality immediately. From there, she outlines how trust can be won or lost at the prompt layer, both outbound (what the model says to customers) and inbound (what users share with the organisation). She also discusses “toxic combinations”, where overlapping access can accidentally leak…

People in this episode

Host: Dr Andree Bates

Guest: Jocelyn Houle

Topics covered

• enterprise AI
• automation
• trust
• data quality
• explainability
• auditability

Mentioned in this episode

Organizations: Securiti.ai

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