AI Strategy & Adoption

Move your engineering team from experimenting with AI tools to fully AI-native. Strategy, tooling, and hands-on coaching that changes how your team actually works.

The gap between AI-fluent engineering teams and everyone else is widening fast. Most "AI strategies" are slide decks. The teams winning are the ones where engineers actually changed how they work.

Who this is for

• Engineering leaders whose teams are experimenting but lack strategy or coherence
• CTOs getting pressure from the board on AI and need a credible answer
• PE portfolio companies driving efficiency gains across acquired software teams
• Companies watching competitors ship faster and wondering what they're missing

Service areas

Workflow assessment

Evaluate where AI helps your specific workflows and where it doesn't. Prioritized by impact, sequenced for adoption.

Tooling evaluation

Code assistants, testing, documentation, code review, infrastructure automation. Evaluated against your stack, team size, and security requirements.

Team coaching

Embedded with your engineers, in their codebase, on their problems. Building AI-assisted workflows that become habit, not a lunch-and-learn.

Leadership advisory

Sounding board for CTOs on AI investment decisions and board communication.

Approach

Bottom-up adoption over top-down mandates. Start with engineers already experimenting, give them better tools and structure, let results spread, then formalize what works. Communities of practice over company-wide rollouts.