Enterprise AI adoption & transformation advisory
From AI experimentation to enterprise capability.
I help enterprise leaders connect AI strategy to the workflows, decision rights, governance and leadership practices that determine whether adoption actually happens.
30+ years in project management and 15+ years as a senior Agile coach, now focused on enterprise AI adoption and transformation.
The operating problem
AI activity often grows faster than the operating model around it. Pilots multiply, individuals adopt tools and new capabilities arrive quickly, while ownership, workflow integration, governance, adoption measures and business outcomes remain fragmented.
The practical challenge is turning that activity into repeatable work: deciding where AI belongs, how workflows change, who remains accountable, how adoption is supported and how leaders know whether the change is creating value.
The first engagement
AI Adoption Rapid Diagnostic
A focused 7–10 business day engagement for leaders who need a clear view of where AI adoption is blocked, which operating issues matter most and what should happen next.
If the problem is already understood
Enterprise AI Consulting & Leadership
Enterprise AI Consulting & Leadership supports organizations that already know where the friction is and need help sequencing change, clarifying decision rights, redesigning work, strengthening governance or improving adoption.
A different kind of AI advisory lens
The work starts from enterprise delivery and transformation reality, not from a technology catalogue. The focus is on the gap between the process described in plans and the work people actually do: handoffs, rework, decision delays, informal workarounds, adoption friction and unclear accountability.
The objective is practical: connect AI choices to operating changes that leaders and teams can actually sustain.
Ready to turn AI activity into operating capability?
If AI activity is growing but adoption, governance or measurable value is still unclear, let’s discuss what needs to change in the operating model.