AI leadership that turns ambiguity into an operating plan.

I help leaders decide which AI initiatives are real, connect the survivors to architecture, people, and accountable execution, and leave the discipline to run them. The work can begin with a focused read or continue through a full quarter of leadership.

Architectural model of separated systems converging through a shared plan
Priorities / systems / people / accountable execution

Start with the operating problem, not a title or a technology.

The work is most valuable when a consequential decision crosses business priorities, architecture, delivery, and organizational capability.

Focused leadership engagementTurn disconnected signals into an operating plan.
  1. Business priorities
  2. Project portfolio
  3. Team capability
  4. Architecture
  1. Roadmap
  2. Ownership
  3. Operating rhythm
  1. AI investment has drifted away from business priorities.

  2. AI pilots are struggling to move from demonstration to production.

  3. Architecture, teams, vendors, and AI priorities are working from different maps.

  4. Delivery is unpredictable, expensive, or dependent on a few people.

  5. Senior technology leadership is needed before a full-time hire makes sense.

  6. Internal leaders need stronger practices, decision rights, and accountability.

A working technology leadership system.

The engagement ends with decisions, ownership, and operating tools, not a strategy deck left for someone else to translate.

  1. Technology and project portfolio assessment
  2. Prioritized 12–18 month roadmap
  3. Team, capability, and ownership map
  4. Resource, partner, and hiring recommendations
  5. Scoped delivery sequence with risks and dependencies
  6. Executive scorecard and immediate action plan

The first call is a decision review, not a sales presentation.

Bring the decision, why it matters now, what has already been tried, and the systems already in place. I will tell you whether a 90-day engagement is the right intervention. If it is not, I will say so.

A useful fit
The problem crosses business priorities, architecture, ownership, and delivery, and an executive sponsor can make the decisions required to move it forward.
Probably not the right fit
The immediate need is staff augmentation, a predefined implementation, or another pair of hands inside an existing plan.

Three ways in.

Every engagement ends with the organization more capable of deciding without me. The difference is how much of the work you want me to carry.

The Read

Shape
Three weeks · fixed scope
The work
A structured assessment of the AI portfolio as it actually stands. Interviews across leadership and the teams doing the work, an inventory of systems, spend, and vendor commitments, and a written diagnostic naming what is real, what is theater, and what it is costing to keep both. Ten pages. You own it whether or not we work together again.
Fee
Fixed fee, scoped in the first conversation.

The 90-Day Engagement

Shape
One quarter · end to end
The work
The full arc. Diagnosis, architecture, sequencing, vendor and build-versus-buy decisions, and the governance to sustain them. Includes enablement for the teams who will execute, because a roadmap the organization cannot run is not a roadmap.
Fee
Fixed fee for the quarter. Scoped against what the diagnosis finds.

Standing Advisory

Shape
Monthly · ongoing
The work
For organizations past the roadmap and into execution. I stay in the decision flow: one recurring leadership meeting, a written monthly readout, and availability for the decisions that cannot wait for a quarterly. Repriced each quarter against the next problem, not the last one.
Fee
Monthly retainer. Not billed by the hour.

Before You Invest: Seven Questions for a Technology Decision

A working document for a leader facing a consequential technology decision. It records what each stage of the decision has to establish before the investment is committed.