Why AI Agents Stall in the Enterprise and How to Make Them Work Better

AI agents are moving fast but most enterprises are still stuck at demos and pilots.

The problem isn’t AI capability. It’s that enterprise systems, processes and operating models weren’t designed for autonomous execution. Legacy applications, fragile integrations, fragmented data and unclear governance prevent AI agents from operating safely and at scale.

This webinar cuts through the hype to explain why AI agents stall in the enterprise and what it actually takes to make them work in production. We’ll explore why “agent-first” strategies fail without the right platform foundations, and the practical changes required to move from experimentation to execution.

The session will include a short, practical demo showing how an agentic workflow can be built and orchestrated to interact with real enterprise systems illustrating how AI moves from concept to measurable outcomes.

AI agents don’t fail in the enterprise; rather success depends on how well organisations prepare for AI agents.

Key Takeaways

• Why AI Agents Stall
  The real enterprise constraints legacy systems, integrations, data and process hygiene that limit agent autonomy and scale.
• Why Platforms Matter More Than Models
  Why orchestration, integration and control determine success far more than model intelligence.
• What Production-Ready AI Actually Requires
  The governance, observability, guardrails and cost controls needed before autonomy, not after incidents.
• How to Redesign for Agentic Execution
  When AI requires rethinking business processes, not simply automating existing ones.
• How to Move from Hype to ROI
  How to align AI agents to measurable business outcomes instead of one-off demos.

This webinar is designed for:

CIOs, CTOs and CDOs
Heads of Architecture and Enterprise Architects
Digital Transformation and Innovation Leaders
Platform, Integration and Application Leaders
Senior IT and business leaders accountable for AI outcomes

Speakers