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GenAI plumbed into your actual delivery workflows

AI-Enabled PMO

Embed LLMs and small AI/ML tooling into requirements, RAID, status reporting, and vendor analysis. Measured by hours saved per week, not by hype.

Duration · 6 weeks Let's discuss Type · fixed-fee

What it is

The summary.

Most 'AI for PMO' is a slide. We pick 3 specific workflows where your PM team is bleeding hours, build production-grade GenAI tooling for them (Anthropic / OpenAI / on-prem if needed), train your people on the prompts that work, and instrument the savings so finance sees it.

What you get

Deliverables.

  • Workflow audit. Top 5 candidates for AI
  • 3 production GenAI workflows built and deployed
  • Prompt library and governance policy
  • Hours-saved-per-week dashboard
  • Internal team trained to extend without us

How it runs

Process.

  1. Week 1. Audit Shadow 3-5 PMs for a day each. Map where AI realistically helps (requirements parsing, RAID writeups, status narratives, vendor analysis) vs where it doesn't.
  2. Weeks 2 to 4. Build Build 3 selected workflows. Real production tools, not POCs. Hosted on whatever's already approved by your IT (Anthropic API, Azure OpenAI, Cloudflare Workers AI, flexible).
  3. Weeks 5 to 6. Adoption Train, measure, iterate. Done when at least 60% of the team uses each tool weekly and the saved-hours dashboard agrees.

Track record

Outcomes from past engagements.

  • Typical 4-12 hours/week saved per PM on writing tasks, tracked on the saved-hours dashboard
  • RAID writeups that actually get read by exec sponsors
  • Requirements first-pass drafting markedly faster than unaided, measured per workflow
  • Governance policy that legal/compliance signs off

Fit check

Ideal for.

  • PMO leadership being asked by exec 'what's our AI angle' and needing real answers
  • Mid-size teams (5 to 30 PMs) where small tooling moves the needle
  • Regulated industries needing on-prem-friendly architecture

What clients said

The AI-PMO engagement delivered exactly what we'd been promised but couldn't get from consultancies twice the size. Three live GenAI workflows in production, measured savings per PM per week, and an internal team confident enough to extend them without us. Real value.
Head of PMO · Head of PMO, US Healthcare payer