DVC107 - The AI Divide - Success Beyond AI Pilots

Success Beyond AI Pilots - Discover how AI Leaders deliver value from their projects - in 30 minutes

Most companies are racing to adopt GenAI—but only a small minority are seeing measurable P&L impact. In Episode 107 we unpack the “GenAI divide”: why enterprise rollouts stall while employees quietly get value from consumer tools; how to kill vanity metrics and track real outcomes; when to buy vs. build; and what it takes to scale agentic AI safely (orchestration, MCP, human-in-the-loop at the hard edges, full observability, reversibility). We close with an industry reality check and a concrete playbook of where value is landing first.

Why the GenAI Divide Matters: Discussing the hype vs. value problem and what “real impact” means for the P&L.

🎯 Watch for: outcome KPIs over adoption stats; greenfield + workflow-embedded agents; partner leverage where you don’t have scale; governance that enables speed without sacrificing control.

Chapters:

1️⃣ — ⚖️ Consumer vs. Enterprise AI: The Paradox & Risk - 1:45 
Employees get value from consumer tools while enterprise access lags; the rise of unsanctioned use.
2️⃣ — 📊 Metrics That Matter: Productivity ≠ Business Value  - 4:30
How vanity metrics mislead; focus on process change, cost-to-serve, revenue lift, legacy retirement.
3️⃣ — 🛠️ Build vs. Buy: Escaping the Internal-Dev Trap - 9:21
Why internal AI stacks stall; when partnerships more than double success odds.
4️⃣ — 🏁 Comparative Advantage: Focus Where You Win - 11:13
Reallocate scarce talent from platform building to domain-differentiating use cases.
5️⃣ — 🚀 Pilot → Production: Why Pilots Fail & How to Cross the Chasm - 13:06 
Why demos break at scale; integrate with core systems; mid-market playbook for <90-day production.
6️⃣ — 🔁 The Missing Learning Flywheel (Trust Gap) - 15:38 
Systems must remember, adapt, and improve—otherwise users won’t trust them for high-stakes work.
7️⃣ — 🤖 Agentic AI 101: Orchestration, MCP & Guardrails - 17:50
Goal-seeking agents with tools; MCP vs. APIs; designing for adoption with HITL, observability, reversibility.
8️⃣ — 🏢 Industry Reality Check: Who’s Actually Winning? - 24:18 
Tech & media lead; many ops-heavy sectors lag; functional pockets of traction emerge first.
9️⃣ — 🕶️ Shadow AI → Productize, Don’t Prohibit - 26:42 
Don’t ban it—productize it. Embed in workflows. Support Learning.
🔟 —💰 Where P&L Value Lands  - 28:25 
Early wins are  in legal review, & contracts, AP automation, sales ops, and code generation. AI Leaders use the “Start small, Be Selective, Scale what matters” playbook.

 #DigitalValueCreation #GenAI #AgenticAI #EnterpriseAI #AIatWork