Your clients increasingly ask AI questions you can't yet staff. Rather than turning the work away or referring it out, you deliver it — scoped, built, and handed over inside your own engagement, by someone who stays behind your brand.
The client wants an AI answer inside a live mandate. Building a bench for it is slow, expensive, and risky if the pipeline is uneven.
Refer it out — and watch a generalist tech shop sit between you and your client, owning the relationship you built.
A specialist who delivers under your name, defers to your relationship, and disappears when the work is done.
Productized modules that slot into your existing engagements — priced so you can quote them with confidence.
A fixed-scope read on an AI target or an AI angle inside a deal: where value is real, what it costs, and what the risks are. Delivered as a working artifact your client can interrogate, not a maturity grid.
The specific AI system an operating company needs, built to its data and handed over. Slots into a value-creation plan as a line your firm can stand behind and measure.
Asset-level, scenario-conditional risk scoring that shows its work — the Cardinal Intelligence method, run inside your engagement for a commodity-exposed target.
The trust layer most builds skip: measuring whether a model’s output is actually supported, and gating it before it informs a decision. Privilege-aware variants for legal and banking contexts.
The client is yours. I never appear in front of them unless you choose to introduce me.
I translate the client's question into a buildable spec and a fixed deliverable you can price.
Delivery, documentation, and handover carry your name. Principal-led; a vetted bench scales larger builds.
The client keeps a system your team can run. The credit, and the next conversation, stay with you.
The domains hardest to staff from a general bench — regulated finance, the public sector, and commodity supply chains — carried under your name.
Buy-side and FIG from the inside — TMT M&A at Goldman Sachs, a distressed-bank restructuring inside a national banking system, and an AI-underwriting lender built and exited.
Constitutional-AI standards for a monetary authority, interpretability for national digital infrastructure, treaty-compliance verification for a space agency.
Asset-level geopolitical and supply-chain risk across mining, shipping, and agriculture — diligence that connects a model to a physical exposure.
One person who can sit in the deal conversation and build the system it calls for — then prove it can be trusted — not a strategy deck handed off to a separate build team.
If you have a client question you'd rather not refer out, let's talk about how it slots in.
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