Get an AI adoption maturity assessment, a change management plan, and a leadership alignment package — before the ROI questions get harder to answer.
Every executive I've talked to has a version of the same story: the pilot worked. Leadership got aligned. Tools were licensed. Announcements were made. Six months later, nothing has fundamentally changed. Teams are working the same way they were before the AI initiative. The tools are licensed but underused. The ROI projections that justified the investment are now questions at the quarterly business review you don't have clean answers to.
This isn't a technology problem. It's a change management problem — and most organizations treat it like an IT rollout.
The sprint ends with four deliverables your leadership team can use immediately. What you receive is the foundation and the plan. Executing the rollout is on your team — by design. The organizations that lead on AI adoption own it internally. This sprint gives you everything you need to own it.
What this doesn't include: Executing the rollout. The sprint delivers the assessment, the plan, and the playbook. Your team implements them. This boundary is intentional — the engagement is scoped to what I can validate and deliver in 4–6 weeks with direct access to your leadership and data.
Scoped to organization size and AI program maturity. Includes direct engagement with CHRO, CDO, or CTO and the functional leads responsible for AI adoption. Most clients use the deliverables to reset internal alignment, restart a stalled rollout, or build the case for continued investment.
Diagnostic interviews with the leadership team and functional leads. Adoption survey across teams currently using AI tools. Honest inventory of where the org is — including what leadership believes vs. what's actually happening.
Map the distance between current adoption and stated goals. Identify the specific friction points blocking adoption: skills gaps, tool access, leadership misalignment, measurement gaps, or cultural resistance. Quantify the gap where possible.
Change management plan and rollout playbook built against the real gaps identified. Leadership alignment package drafted. Ownership assigned for every milestone. Plan reviewed with key leads before finalization.
Executive readout with the leadership team. Final deliverables handed off. 30-day quick-start actions identified so your team can move immediately after the engagement ends.
At Best Buy, I didn't just recommend an AI standard — I designed and ran the process that got to one. A 3-month structured evaluation of competing tools, a data-driven recommendation to the CTO, and then the harder work: rolling out agentic development practices across a 70-person global engineering organization across two continents. The technical decision took three months. Getting teams to actually change how they work took longer and mattered more.
Earlier in my career, at Liberty Mutual, I was a direct participant in what later became the Value Flywheel — setting up the first cloud platform and navigating the organizational change that comes with moving an enterprise off decades of infrastructure assumptions. That work was documented in The Value Flywheel Effect as a model for how technology transformation actually happens at scale. The lesson wasn't the technology. It was that someone had to own the change.
Both experiences share the same lesson: the technology works. The adoption doesn't happen by itself.
A 20-minute call will tell us both whether there's a fit. No commitment required.
Schedule a 20-Minute Call