Cloud cost accountability. Developer velocity. AI governance. Fixed-scope sprints with measurable outcomes — built on Fortune 50 scale.
If your cloud bill keeps growing, your engineers are using AI tools without a standard, or your platform team has become the bottleneck — you need an answer fast. Not a multi-year transformation. A clear diagnosis and an actionable roadmap.
The AI Operations Quick Scan is a structured 3-hour working session where Stephanie listens to your top operational pain points and tells you exactly which ones AI can solve, what it would take, and what to tackle first.
You get a written report you can share with your team or leadership, plus a 30-minute review call. $997. No long-term commitment.
Most clients walk away with 3–5 concrete AI opportunities they didn't see before — and a clear answer on where to start.
Book My AI Operations Quick Scan →Each sprint is fixed scope and ends with a concrete deliverable — not a strategy deck. No retainer required.
The pilot worked. Leadership bought in. Now teams aren't using the tools and ROI questions are getting harder to answer. Get an adoption maturity assessment, a change management plan, and a rollout playbook with real owners.
Engineers are using AI tools without a standard or security sign-off. Get ahead of the governance gap with a 60-day implementation roadmap.
Your platform team is called a bottleneck by everyone except the platform team. Get a DORA benchmark and a 90-day improvement roadmap.
The CFO is asking hard questions about the cloud bill. Get the numbers — and the accountability model to make them stick.
I spent 15 years at Fortune 50 scale — leading the Strategic Cloud platform org at Best Buy and building the reliability systems at Target that delivered the first clean Thanksgiving in 30 years.
At Best Buy, I owned a $25M annual platform budget and a 70-person global engineering organization. We reduced annual cloud run rate by $30M, avoided $35M in capital expenditure, cut application provisioning from 41 days to 2 hours, and standardized enterprise AI tooling before a security incident forced the conversation.
I now work with CTOs and engineering leaders at mid-market and enterprise companies on the same problems — through fixed-scope sprints and fractional CTO engagements.
A brief written analysis of which business operations are best suited for AI automation, what it would realistically take to implement, and what to tackle first. Stephanie Culver delivers it as a 3–5 page written report based on a structured listening session with the client.
If you have at least one repeatable process that takes staff more than a few hours per week and involves moving, summarizing, or classifying information, there is almost certainly an AI improvement worth exploring. The AI Operations Quick Scan helps you identify exactly which ones.
An AI operating model for a small business typically identifies 3–5 high-leverage automation opportunities, establishes AI governance (what tools, what data, what oversight), and creates a 60-day rollout roadmap prioritized by impact and effort.
The AI Operations Quick Scan starts at $997 — a 3-hour listening session plus a written brief delivered in 5 business days. Full AI Operating Model Sprints typically run $15,000–$25,000 depending on scope.
If cloud costs, developer velocity, or AI standardization are live conversations at your company this quarter, this is the fastest path to an answer.
Schedule a 20-Minute Call