RIAs & wealth managers
Client communication, prep, follow-up, and CRM hygiene. Internal copilots that respect the line between "draft" and "send."
Banks · RIAs · Fintechs · Insurance
AI for financial services, from inside the building.
Every consultant claims to know financial services. I spent my career at JPMorgan Chase. I have watched what works, what stalls, and what the audit committee will never sign off on. That perspective travels with every engagement.
Why this is different
Compliance, risk, and audit are inputs — not surprises.
The reason most generalist AI consulting fails inside a financial-services firm is the same reason it usually succeeds in a marketing org: the constraint surface is completely different. A bank, an RIA, a broker-dealer, an insurance firm — these organizations have to defend every model decision to a regulator, an internal audit team, and a risk committee that has the standing to kill the project. The right strategy treats those groups as design partners. Most strategies do not.
Because I spent my career inside JPMorgan Chase, I show up to those conversations already speaking the language. That is not a marketing claim — it is the actual difference between strategy that survives implementation and strategy that gets rewritten in month four.
Where this work lands
Five places I tend to be most useful.
Community & regional banks
Document workflows, KYC and onboarding, exception handling. Where most of the early-stage AI ROI lives.
Broker-dealers & insurance
Compliance review, surveillance, marketing-material approval flows. Areas where AI augments — never replaces — the principal's signoff.
Fintech startups
Strategy, vendor selection, and roadmap support for early-stage teams that need to ship faster than they can hire.
FinServ private equity
Diligence support on AI-positioned targets, and post-close advisory on portfolio company AI strategy.
In-house AI committees
External voice on internal governance committees, model risk reviews, and AI investment prioritization.
Frequently asked
FinServ AI, answered.
Why work with an AI consultant who came from JPMorgan Chase?
Because financial services has constraints — compliance, risk, audit, change control — that an outside consultant who has never operated inside a bank does not understand viscerally. James spent his career at JPMorgan Chase, which makes him useful in rooms where "just deploy the model" is not a viable answer.
What AI work is actually moving the needle in financial services in 2026?
Document processing and exception handling, KYC and onboarding flows, internal copilots for analysts and advisors, and meeting / call summarization for client-facing teams. The pattern is clear: AI works best where the prior process was paperwork-heavy and the audit trail is the deliverable.
Do you work with both big banks and smaller firms?
Yes. Engagements range from boutique RIAs and fintech startups to mid-size regional banks. The frameworks are the same; the scope and the speed are very different.
How do you handle compliance and risk in AI projects?
Compliance is a design input, not a final-stage gate. Every project starts with an explicit conversation about what data the model can see, what decisions it can make, and what the audit trail looks like. The strongest deployments treat risk and compliance as collaborators, not blockers.
Tell me about your firm.
A short note — your firm's size, the AI question on the table, the timeline. I will reply personally and tell you whether this is the right room for me to be in.