Most organisations have an AI strategy. Almost none of them have one that works. The failure mode is always the same: a slide deck of vendor promises, a pilot graveyard, and a governance vacuum. This episode is the alternative — a 4-phase framework for building an AI strategy that gets used, updated, and actually changes how the organisation operates.

In this episode:
→ The 5 AI strategy failure modes — which one does your organisation have?
→ What a working AI strategy actually contains — 5 components, 10-15 pages, not a 100-page roadmap
→ Phase 1: Inventory and assess — current-state assessment, shadow AI audit, pilot candidate shortlist
→ Phase 2: Pilot and validate — the 3 disciplines: baseline before launch, named owner, 6-week kill decision
→ Phase 3: Scale what works — why change management is harder than the technology
→ Phase 4: Govern and evolve — preventing both under-use and over-use
→ The SMB version — the same framework at smaller scale
→ The living strategy — how to prevent your AI strategy from becoming shelfware

Downloadable AI strategy template in the description below.

This is Episode 32 of Master AI & Machine Learning — Module 6: Ethics, Strategy & Future, Episode 3 of 6.

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📥 AI Strategy Template (free) → contact@technovativeai.com
📋 FULL COURSE PLAYLIST → www.seriesofthoughts.com
⬅ Ep 31 — AI and the Future of Work
➡ Ep 33 — AI Governance
🌐 TechnovativeAI → www.technovativeai.com

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⏱ TIMESTAMPS
00:00 — Hook: why most AI strategies fail
00:30 — The 5 failure modes
01:30 — What a good AI strategy actually contains
02:30 — Phase 1: inventory and assess
03:30 — Phase 2: pilot and validate (3 disciplines)
04:30 — Phase 3: scale what works
05:30 — Phase 4: govern and evolve
06:30 — The SMB version + the living strategy
08:00 — Next episode & CTA

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Series of Thoughts · Presented by TechnovativeAI

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