Stop Burning Tokens & Avoid Hallucinations: How to Govern and Scale Trusted Agentic AI

Agentic AI promises full autonomy, but in practice, it often triggers skyrocketing token costs, unpredictable hallucinations, and governance headaches. Why? Because decision-critical business logic remains trapped in unversioned prompts, spreadsheets, and isolated silos.

In this interactive workshop, discover how to bridge the gap between IT guardrails and business agility. Learn how a dedicated Business Logic Layer powered by the Model Context Protocol (MCP) gives AI agents precise, validated context—eliminating wasteful turns and hallucinations while keeping humans in the loop.

Live Showcase Details:

• Working with usage data from ChatGPT and Codex, we translate raw metrics into actionable strategy:
• Expose Cost Drivers: Pinpoint where token spend happens without driving real business value.
• Identify High-Value Intersections: See which agent turns contribute to successful outcomes and where context breaks down.
• Build Trust & Governance: Make outcomes visible, understandable, repeatable, and fully auditable.

Key Takeaways:

• Optimize Token Spend: Translate raw consumption into clearer business insights and cost efficiency.
• Make Business Logic Deterministic: Supply agents with reliable, validated workflows to minimize hallucinations.
• Operationalize Governance: Establish clear guardrails for AI usage without stifling business-team innovation.