# Lead AI Transformation

> 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: `hiteshbandhu/lead-ai-transformation` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add hiteshbandhu/lead-ai-transformation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/hiteshbandhu/lead-ai-transformation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: hiteshbandhu (https://skillmd.com/u/hiteshbandhu)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/hiteshbandhu/lead-ai-transformation

---


# Lead AI transformation

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

**Supporting files:** [workflows.md](workflows.md) · [source-index.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

```bash
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.