The problem this solves
Most PMOs spend their best hours assembling the past: chasing status, reconciling decks, re-typing RAID entries. Meanwhile the AI-for-PM advice on the market comes from people who have never carried a program through go-live. The result is either paralysis — no AI at all — or chaos: ungoverned tools drafting reports nobody verifies.
I run these tools on live enterprise programs — Claude, Microsoft 365 Copilot, Power Automate, Make, n8n — inside the same governance discipline I bring to a program rescue. I also wrote a book on working with AI as a daily professional partner, The 365 Method (forthcoming 2026). This isn't theory.
What actually changes
- Status reporting, meeting synthesis, and RAID upkeep shift from hours of analyst time to minutes of review time — with a human signature still on every decision.
- Risk and dependency signals surface earlier, because the machine reads everything and forgets nothing.
- Executives get one honest summary instead of five conflicting decks.
Engagement deliverables
- AI workflow audit — where your delivery organization loses hours, and which losses AI can recover.
- Reporting automation — status, RAID, and executive summaries drafted by AI, governed by humans.
- PMO prompt library — tested, role-specific prompts your team owns.
- Executive summary templates — one format that tells the truth weekly.
- Adoption playbook — rollout sequence, guardrails, and accountability rules for agentic tools.
AI drafts. Humans govern and sign. When an agent does the work, accountability still needs a name attached — that rule is built into every workflow I stand up. Governance first, automation second.
Common questions
Does AI replace the PMO team?
No. It moves your analysts from assembling reports to reviewing them. Headcount conversations come later, if ever — accuracy and speed come first.
How does an engagement start?
With the AI workflow audit — it scopes in one call. You get a written read of where the hours are going and which automations pay back fastest.