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Scaling Agentic AI Without Rewriting Your Enterprise
A practical framework to turn GenAI pilots into production-grade, cost-controlled systems.
Extend SharePoint workflows without forced rebuilds.
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Across the US and Canada, GenAI pilots are everywhere — but production success is rare.
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The challenge is not model performance. It is operational cost, governance, and runtime reliability.
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This session shows how enterprises operationalize Agentic AI while controlling spend, reducing failure risk, and accelerating time-to-value.
Speakers:
These speakers have driven enterprise-wide Agentic AI adoption through composable, model-driven architecture across global organizations.
Lucas Drege
Pre-Sales Lead, AgilePoint
Jesse Shiah
Co-founder, AgilePoint
Nishant Shrivastava
Product Head, AgilePoint
What This Session Delivers:
- Why AI pilots fail to reach production
- How architecture reduces AI consumption costs
- How runtime adaptability replaces brittle automation
- How agentic orchestration delivers measurable ROI
- Why AI pilots fail to reach production
- How architecture reduces AI consumption costs
- How runtime adaptability replaces brittle automation
- How agentic orchestration delivers measurable ROI
AI creates value only when execution is governed.
AI creates value only when execution is governed.
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