AI Advisory
Independent counsel for leadership teams on AI investment discipline, risk, and organizational alignment.
Executive Summary
Enterprise AI rarely fails for lack of models—it fails when leadership cannot reconcile fragmented initiatives, unclear ownership, and spend that outpaces return anyone can explain. We work alongside CEOs, CFOs, and their leadership teams to sharpen judgment: where AI genuinely matters, what to pause, how to govern it, and how to sequence investment against operating reality. We advise; we do not implement or resell platforms.
The Leadership Challenge
Most organizations now have AI activity in every major function—often funded separately, governed inconsistently, and measured on incompatible metrics. Leadership is asked to approve further investment without a consolidated view of what already exists, what it costs, or what could go wrong.
We provide independent counsel at the executive level—on portfolio discipline, governance, vendor and architecture choices, and the trade-offs that come with each. We do not resell platforms or embed for implementation. Our role is to strengthen how leadership thinks about AI, not to prescribe a fixed package of work.
Where We Advise
Questions we help leadership work through—not a catalog of predetermined outputs.
What Shifts
How counsel changes the quality of executive judgment—not a promise of specific results.
When Organizations Seek Counsel
Situations where an independent perspective helps before capital, contracts, or organizational commitments harden.
Portfolio & Spend
When AI activity outpaces enterprise visibility or alignment.
Years of decentralized experimentation with no enterprise view of cost or risk
Portfolio overlap after merger, acquisition, or major reorganization
C-suite misalignment ahead of a multiyear capital commitment
Risk & Regulation
When failure, scrutiny, or new rules force a reset.
Leadership scrutiny following a visible AI failure or near-miss
Incoming regulation or sector guidance on automated decision-making
Architecture & Lock-in
When model, cloud, or vendor choices carry long consequences.
Foundation-model, cloud AI, or agentic architecture decisions with long lock-in
How We Work
A natural sequence for advisory—not a fixed engagement model. Depth and pace follow the decisions in front of you and how your organization already governs major investments.
Assess
We start by building shared understanding: where AI already shapes revenue, cost, and risk; what is production versus experiment; where dependencies on data and third parties are thin; and where exposure is growing faster than oversight.
Weigh Options
We work through the choices that follow: which initiatives deserve focus, how ownership should sit in the operating model, what guardrails matter as models touch customers and employees, and how investment fits the capital and delivery rhythm you already have.
Pressure-Test
Where leadership chooses to proceed, we advise on how to test commitments under explicit assumptions—what would prove value, what would trigger a stop, and what must hold before anything expands beyond a controlled footprint.
We start by building shared understanding: where AI already shapes revenue, cost, and risk; what is production versus experiment; where dependencies on data and third parties are thin; and where exposure is growing faster than oversight.
We work through the choices that follow: which initiatives deserve focus, how ownership should sit in the operating model, what guardrails matter as models touch customers and employees, and how investment fits the capital and delivery rhythm you already have.
Where leadership chooses to proceed, we advise on how to test commitments under explicit assumptions—what would prove value, what would trigger a stop, and what must hold before anything expands beyond a controlled footprint.
Discuss Your AI Priorities
An initial conversation to understand your situation, constraints, and what kind of counsel would be useful.
