Seattle Startup Coaches / Enterprise AI Practice
AI Transformation That Reaches Every Team, Not Just Engineering
Startup Speed. Enterprise Discipline.
Structured organizational readiness and change management for enterprise AI adoption, so the value reaches operations, finance, HR, and customer service, not just the engineering team piloting it.
What are Enterprise AI Services? Help for companies whose AI pilots work technically but stall with people. We build executive sponsorship, redesign how work gets done and enable teams through organizational change management, so AI adoption reaches every department and produces measurable business value.
Engineering already ships with AI. Now every team can.
When Finance needs a tracker, Finance builds it. When Sales needs a tool, Sales builds it. As a Lovable Select Partner with ICF certification in organizational change management, we help enterprise teams think like a startup and scale like an enterprise, with the training, governance and adoption plan to make it last.



Practice Areas
Enterprise-Grade Engagements
AI Adoption & Change Management
ICF-certified organizational readiness work built on the Pre-AI Layer methodology: decision-rights clarity, workflow mapping, and change sequencing so AI adoption reaches operations, finance, HR, and customer-facing teams, not just the department that piloted it.
Explore the methodologyEnterprise AI Advisory
Strategic guidance for leadership teams evaluating how AI value moves across the organization. The question isn't which tool to buy, it's how adoption reaches every function without waiting on a single team's bandwidth.
Request advisory scopeExecutive Strategy & Operating Model Design
Senior-level strategy and operating model guidance, informed by executive leadership roles at Microsoft, Expedia, and Avaya, applied to how organizations structure AI adoption across departments.
Discuss an engagementStartup Speed. Enterprise Discipline.
Why This Isn't Just a Technology Rollout
Most enterprise AI initiatives are treated as IT projects: pick a tool, run a pilot, hope adoption spreads on its own. It rarely does.
The tools that fail to spread past their pilot team don't fail on capability, they fail on organizational readiness: unclear ownership of the new workflow, no defined decision rights, teams unsure whether the change is optional, and leadership aligned on the mandate but not on how work actually changes day to day.
Structured readiness diagnostics
Run before rollout, not after adoption stalls in operations, finance, or customer service.
Decision-rights clarity
Every team knows who owns what once the tool is live, from IT ownership to HR sign-off.
Change sequencing built for your organization
Not a generic rollout template. Sequenced for how work actually moves across your functions.
Executive-level guidance
From someone who has led marketing, growth, and operating teams, not just consulted on them.



The Pre-AI Layer
Most enterprise AI programs fail before a single tool is fully deployed. The point of failure is the organizational layer underneath it: unclear ownership, undefined workflows, and leadership aligned on ambition but not on operating change.
The Pre-AI Layer is the readiness work that precedes technical rollout: structured organizational diagnostics, decision-rights clarity, and change management sequencing designed so that when new AI tools arrive, every team, not just engineering, is prepared to absorb the change and put it to use.
Ready to bring AI transformation to your whole organization?
Startup Speed. Enterprise Discipline. Request a consultation.
Request an Enterprise ConsultationPrefer to share more context up front?
Send a note directly. Everything goes straight into Carmela's internal review queue.
