Keywords
AI, agentic AI, Work Fusion, RPA, intelligent automation, compliance, machine learning, LLMs, automation, enterprise technology

Episode Summary
Agentic AI dominated industry conversation in 2025. But in 2026, enterprise leaders are asking a harder question: How do we deploy AI agents safely, accurately, and in production environments?
In this episode, Maribel Lopez speaks with Peter Cousins, CTO of WorkFusion a UiPath company, about how AI agents evolved from RPA and intelligent automation into production-ready “digital workers.” The discussion focuses on regulated industries, where explainability, auditability, and risk controls matter as much as automation gains.
Rather than hype, this conversation explores what it takes to operationalize AI agents: governance frameworks, confidence thresholds, human oversight, and model risk management.

Sound Bites

"2025 was the big agentic AI year."
"You can't just throw it in and it's good to go."
"It's been great talking to you."

Chapters

00:00
Introduction to Agentic AI and Work Fusion

02:00
Transitioning from RPA to AI Agents

04:38
Operationalizing AI Agents in Business

09:21
Navigating the Hype of Agentic AI

12:04
The Role of LLMs in Regulated Environments

14:47
Multi-Agent Orchestration and Collaboration

17:21
Improving AI Agents through Learning

21:01
The Importance of Non-Human Identity in AI

24:06
Closing Thoughts on Adopting Agentic AI

Agentic AI Beyond the Hype: How Banks Are Actually Deploying It

The AI with Maribel Lopez (AI with ML)

Agentic AI Beyond the Hype: How Banks Are Actually Deploying It