AI Solution Showcase: TMC’s The Anti-Workshop Approach to AI Enablement: From Readiness to First Win to Scale

CIO.com reports that 88% of AI pilots fail to reach production—often because readiness, governance, and adoption aren’t designed in from day one.

This showcase introduces TMC’s Anti-Workshop Approach to AI enablement—built specifically to bridge a common market gap: partners who stop at a readiness assessment and roadmap, and partners who focus mainly on tools and licensing. We’ll share a structured, Microsoft-native method that moves from Readiness → First Win → Scale by validating risk and constraints early (data, identity, security, governance), selecting a first-win use case tied to measurable business outcomes, and delivering an activation plan that drives adoption and establishes a repeatable operating model. Attendees will leave with a practical blueprint they can apply immediately to turn Copilot and AI agents into real production outcomes—not just pilots.

• Learning Objective 1: Run a readiness-first enablement approach that exposes blockers early (security, identity, data access, governance).
• Learning Objective 2: Choose the right first-win use case using clear decision filters and structure an activation sprint that produces measurable outcomes.
• Learning Objective 3: Define and track success using simple, defensible metrics: active usage/adoption + time saved/throughput.

Terms: All rights reserved by the speaker, AI Agent & Copilot Summit NA, and Dynamic Communities and cannot be reproduced or distributed without express written consent by the speaker and Dynamic Communities.

Speakers
Amy Campbell, AI Consulting Services Manager, TMC
Kim Congleton, VP of Strategy, TMC