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Lead ai transformation

Skill hiteshbandhu/skills-i-use/skills/ai-engineer-talks/lead-ai-transformation

Drop-in skills and plugins for your AI development workflows

Install

npx -y skills add hiteshbandhu/skills-i-use --skill lead-ai-transformation

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Leads enterprise AI transformation—platform engineering, hiring AI teams, ROI via eval frameworks, values-based investment review, and safe adoption patterns. Use when a VP/Director plans AI platform teams, enterprise LLM ROI, hiring, or governance at AI Engineer World's Fair 2024 leadership sessions.

SKILL.md

1.8 KB, as published. Nobody here has run it

Lead AI transformation

Action playbook from seven AIEWF 2024 leadership talks. Do not summarize — pick a workflow.

Supporting files: workflows.md · source-index.md

Optional: ./skill-outputs/lead-ai-transformation/

Step 0 — Pick workflow

What is the user trying to do?
├─ Stand up internal AI platform / paved road          → ai-platform
├─ Hire and structure AI engineering teams             → hiring-teams
├─ Prove enterprise ROI with evals                     → roi-evals
├─ Executive values / capex decisions (E-values)       → values-governance
├─ Enterprise stack (Cohere-class retrieval)           → enterprise-stack
└─ Safe adoption (assistive vs autonomous agents)      → safe-adoption

Install

cp -r skills/lead-ai-transformation ~/.cursor/skills/

Source: playlists/ai-leadership-aie-world-s-fair-2024/.

Cross-cutting rules

Rule	Source
Evaluation is core to ROI narrative, not dashboards alone	[src-003 @ 0:09:26]
Hire for eval + data literacy early	[src-002 @ 0:07:19]
Consolidate POC stacks into platform before sprawl	[src-001 @ 0:06:02]
Prefer assistive AI in enterprise until readiness	[src-005 @ 0:04:03]
Board-level AI bets need values + economics, not MMLU	[src-004 @ 0:06:30]

Output

Name workflow; artifacts under ./skill-outputs/lead-ai-transformation/ when requested.

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