AI Program Leadership for Financial Services

Set up an AI pilot that actually reaches production.

I help mid-market banks, insurers, and asset managers choose the right use case, scope the pilot, and build the governance and execution path around it.

If the next step is already clear, contact me about a pilot. If you want the shortest route to a useful decision, start with the three pieces below.

Start here: AI business case for a CFO, AI-ready data for financial institutions, and why bank AI pilots stall.

Who I help Banks, insurers, and asset managers that need AI to move into production.
What I do Pilot setup first, with rescue or fractional leadership only when the situation calls for it.
Proof point Cashlytica is the live product I built and still operate — the main proof that I can ship and maintain real systems.
Background 20 years leading programs inside Citi, JPMorgan, Wells Fargo, and BNY Mellon.
What I see in the market

Most institutions need a practical starting point

The strongest entry point is usually not another strategy deck. It is a scoped pilot with the right use case, the right controls, and a clean path from learning to production.

Scenario A

You know AI matters, but need the right pilot

There are too many possible use cases, too many vendors, and too much pressure to do something. The first move is to pick a valuable, governable pilot and define what success actually means.

Scenario B

The pilot needs structure before it starts

A pilot without ownership, data access, risk review, adoption planning, and success criteria becomes a demo. The setup work determines whether it can become a real operating capability.

Scenario C

The path to production needs to be designed early

A useful pilot should not surprise risk, technology, operations, or executive sponsors later. It should be designed with those constraints visible from the beginning.

If you want to start with a focused AI pilot, contact me. I can usually tell you quickly whether the first move should be pilot setup, a readiness check, or hands-on program leadership.

Twenty years inside

The institutions you're trying to move

Before I started this practice, I spent two decades leading large-scale programs at Citi, JPMorgan, Wells Fargo, and BNY Mellon — across retail, commercial, investment banking, and asset management. I've run multi-team programs through M&A integrations, served as Chief of Staff to C-suite executives, and navigated the kind of cross-functional dysfunction that only large regulated institutions can produce.

That background matters because the people I'm now helping are dealing with the same kind of complexity I spent twenty years inside. I'm not learning the regulatory environment from a McKinsey deck. I lived it.

Citi JPMorgan Wells Fargo BNY Mellon
Featured proof

Cashlytica

Cashlytica.com is my flagship live case study. I built it and I operate it, so every recommendation I make has to survive a real product, a real site, and real operating constraints — not a theoretical slide deck.

See the proof
Operating proof

A live product I still maintain

Cashlytica is the operating context I use to keep my thinking grounded in product, routing, copy, and governance decisions that have to work in public.

Why it matters

One system, no borrowed logos

It shows how I approach institutional software when there is no room for drift: keep the product coherent, remove clutter, and make the system understandable to real users.

Why I mention it

It proves I can ship and sustain

I do not have a stack of outside client logos to wave around. I have one live system I built, maintain, and learn from — and I say that plainly.

How I help

Start with the pilot, then scale the help if needed

AI Pilot Setup

4–6 weeks · Fixed scope

A focused entry engagement to choose the use case, define success, align stakeholders, map the controls, and set up the pilot so it can teach the institution something useful — not just produce a demo.

See pilot setup details

Check AI pilot readiness

AI Program Rescue

2–4 months · Fixed scope, fixed fee

For when a pilot or vendor effort has already drifted. I diagnose the blocker, realign the work, and help move it toward a usable operating milestone.

See rescue details

Fractional AI Program Lead

6–12 months · Monthly retainer

Embedded part-time leadership for institutions that need senior judgment running their AI program but aren't ready to hire a full-time Chief AI Officer. I run the steering committee, manage vendors, navigate governance, and report to executive sponsors.

See fractional lead details
From the Insights

Selected writing that supports the work

The highest-value reads are the ones tied to the queries already getting impressions: business case, data readiness, and stalled pilot recovery.

Want to turn one of these ideas into a focused pilot? Contact me.

Want to set up the right AI pilot?

The first conversation is free. Tell me the use case you are considering, where the pressure is coming from, and what would make the pilot worth doing.

Contact me about a pilot