I'm a fractional Chief AI Officer for companies not ready to hire one full-time.
I advise executive teams on AI strategy, governance, and workflow automation, and I put my name on the results every month, in writing. Private AI, enterprise tools, or both: one accountable owner with 20 years of enterprise tech and SaaS behind him, and the delivery bench that built the results below.
- Founder, AnswerAI
- Co-Founder, Last Rev
- 20 years · WebMD, Clickability, Optimizely
- Shipping AI to production since 2023
AI is already inside your company. The question is whether anyone is leading it.
- Employees are pasting company information into public AI tools today, with no policy on what's allowed.
- Copilot or ChatGPT pilots launched with enthusiasm and produced no measurable ROI.
- The knowledge your team searches for daily is scattered across drives, email, and systems nobody connected.
- Everyone agrees "we should be doing something with AI." Nobody owns what, in which order, or how safely.
What I own
AI roadmap & executive alignment
A scored, sequenced plan your leadership team signs off on. Five workflows, ranked, with the math shown.
Governance & acceptable-use policy
Data tiers, approved tools, and one page of rules people can follow.
Data & AI architecture
Private, commercial, or hybrid, decided by your data sensitivity and budget.
Workflow automation prioritization
The opportunity backlog: every candidate workflow scored by ROI and feasibility.
Implementation oversight
Whoever builds, my delivery partners or your team, I stay accountable for the outcome.
Leadership & team enablement
Role-specific training, a named champion per department, and adoption you can read in the usage numbers.
"All six have the same owner: me. You'll see it in the monthly report."
Three ways companies get stuck. One way to decide.
"We can't put our data in public tools."
Private AI architecture: local models, a governed knowledge layer, your data never leaves. I'll also tell you when this is overkill.
"We bought Copilot/ChatGPT and nothing happened."
Commercial AI enablement: governance, integration with your systems, and training that gets the tools used.
"We don't know where to start."
The AI Executive Assessment: two weeks, fixed price, and a ranked plan you can defend to your board.
Delivery work, measured
Delivered with Last Rev, the platform engineering firm I co-founded. Read the case studies for the work behind each number.
"Brad was Haystacks' Chief AI Officer through our acquisition by Coframe. Every AI decision had his name on it — architecture, data, build versus buy — and the reasoning was in writing when diligence asked for it. What he's offering here is the seat he actually held."
How we'd work together
AI Executive Assessment
Two weeks to a scored roadmap and a defensible decision, including "wait," if that's where the data points.
$5,000–$7,500 · credited toward advisoryExecutive AI Advisory
I own your AI operating model: strategy, governance, and workflow automation, in writing every month, cancellable quarterly.
From $15,000/monthImplementation
Built by Last Rev, my consultant network, or your own team, with me directing regardless of who's building.
Scoped separatelyI take a maximum of four advisory clients. Two seats are open as of July 2026.
Each seat gets a written monthly report, a leadership session, and a scored opportunity backlog. That's what the seat buys. If your AI program needs an owner with his name on the results, let's talk.
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