AI adoption starts inside the work your engineers are already doing. I start by seeing that clearly, then build a plan for what to fix and in what order.
It starts inside the work your engineers are already doing: what's working, what's quietly broken, and what's simply not optimal yet. I start by seeing that clearly, then turn it into a plan for what to build on, what to fix, and in what order.
Start from what's already working, assess honestly where things break down, and turn that into a strategy for what to fix and in what order.
Lead with strategy and judgment. Where hands-on work is the fastest path, I do it. Where deeper implementation is needed, I bring in trusted partners.
Which initiatives are working and which are theater. You get honest signals, not optimistic projections, even when the answer is "not yet."
Every engagement has a clear scope and a finish line. You always know where things stand and what comes next.
Capability stays with your engineering org, with champions who multiply rather than gatekeep, so the work outlasts the engagement.
A rapid, clinical audit of existing engineering workflows to identify high-impact AI integration points. Deliverable is a prioritized implementation blueprint.
Fractional or interim leadership for complex engineering transformations. Bridging the gap between executive strategy and developer reality.
Tell me a little about what you're working on, or grab a slot directly on my calendar. Either way, you'll hear back within one business day.