Business leaders are under board pressure to show AI progress while their teams adopt tools without governance and their competitors claim wins. I've built AI operating models at enterprise scale — 70-person global org, company-wide standardization, board-ready results at Best Buy. Now I help leaders like you do the same, before the window closes.
Your board asked about your AI strategy last quarter. You gave a credible-sounding answer. But you know the real state: developers adopting AI tools with no governance, no enterprise standard, no accountability framework. Legal is nervous. Your competitors are claiming wins you can't verify. You have one or two quarters before "we're working on it" stops being an acceptable answer.
Meanwhile, the obvious options don't fit. A Big 4 firm costs $200K+ and delivers a methodology deck that goes on the shelf. Building an internal AI strategy team takes 18 months you don't have. Doing nothing is no longer a neutral position — ungoverned AI adoption is creating IP, security, and compliance exposure today.
This is the gap I work in. I've built AI operating models at enterprise scale — the governance frameworks, the vendor standardization, the change management, and the board-ready plan. I give you the credible answer AND the working system behind it.
Business leaders — CEO, CTO, COO, VP Engineering — at companies with 50–1,000 employees who have an AI mandate and no clear, safe path to execute it.
Also a strong fit: coaches and consultants running their entire practice solo — one owner covering marketing, ops, finance, scheduling, and client delivery. AI agents can carry the operational load that would otherwise require multiple hires. This is one of the highest-density, most underserved applications of AI right now.
You don't need someone to explain what AI is. You need someone who has built an AI operating model at scale, understands the governance, vendor, and change management complexity, and can deliver a board-ready plan your team can actually execute.
If you're looking for a Big 4 framework deck, there are plenty of firms for that. If you need something that actually works — that's what I do.
Most businesses don't need a full IT department to adopt AI — they need the right starting point. Stephanie Culver Advisory runs a 4-week AI Operating Model Sprint that identifies your highest-value workflows, selects the right tools, and builds a governance model your team can sustain. No engineering team required. Clients have reduced payroll effort by 75% and saved $30M in operational run rate using this method.
A 3-hour working session — Stephanie listens to your biggest operational challenges and comes back within 5 business days with a written brief and a review call covering exactly which problems AI can solve, what it would take, and where to start.
You get a written report you can share with your team or leadership, plus a 30-minute review call. Most clients walk away with 3–5 concrete AI opportunities they didn't see before — and a clear answer on where to start.
Learn more about the AI Operations Quick Scan →A fixed-scope, fixed-price engagement that gives you a concrete AI strategy with a 90-day implementation roadmap your team can execute.
The most common outcome: a credible, specific answer for the next board meeting — and a team that knows what to do the week after.
Learn more about the AI Operating Model Sprint →I join your leadership team 1–3 days/week with ownership over a defined piece of strategy and execution. Accountability to outcomes — not just a recommendation and a handshake.
For companies in a leadership gap, facing a high-stakes initiative, or needing execution capacity without a full-time hire.
Book a call to discuss →These are real clients with real before-and-after numbers — not projections, not anonymized enterprise benchmarks. A family-owned construction business. A coaching consultancy running on agentic AI. The results speak for themselves.
75% reduction in payroll effort. 60% faster invoicing.
A family-owned construction business deployed AI locally, trained their team, and got their evenings back.
Read the case study →5 business domains. One AI operating model.
Accounting, marketing, technology, analysis, and operations — all running through coordinated AI agents.
Read the case study →A 30-minute call is enough to know if there's a fit. No commitment required.
Book a 30-Minute Call →Former Director of Engineering at Best Buy and Target with 15 years of enterprise technology leadership. At Best Buy, I owned a $25M annual platform budget and a 70-person global engineering organization. Harvard MLA in Information Technology. Minneapolis, MN · Available remotely or hybrid.