Fractional advisory for banks navigating AI adoption, sponsor banking, embedded finance, and technology strategy. We work within your institution, not around it.
Banks have absorbed four structural shocks in under a decade, fintech competition, digital assets, fintechs with charters, and now agentic AI. Every vendor claims the perfect solution. Few understand bank risk. Hesitation is a rational response, and it's also how the window closes.
Few can make it work inside a regulated bank. Deploying a model is the easy part. Making it deliberate, auditable, and aligned with how your institution actually works, under compliance review and examiner scrutiny, is the work most projects never finish.
Our founders have built, deployed, and operated AI systems inside regulated financial institutions, taken through compliance review, model risk governance, and regulatory examination. More than once. Those systems are running in production today, with real users and real consequences.
Not pilots. Not proofs of concept. Production.
We help banks decide what to build, what to buy, what to partner on, and what to avoid, and we stay with you through implementation. Your team runs the work; we guide it. That guidance comes from founders who have built and deployed AI systems inside regulated financial institutions, and know exactly where these projects go sideways.
Turn vendor noise into a prioritized, institution-specific technology roadmap. Understand what AI can and can't do for a bank your size, and build a multi-year plan you can actually defend to your board.
Assess fintech partnerships and vendor relationships on the merits. We've sat on both sides of the table. We know what fintechs say before they walk in, and what your board needs to hear before they sign.
Act as your de facto Chief Technology or Innovation officer without the full-time executive cost. Present to your board, run your vendor selection, and own sections of your innovation roadmap on a fractional basis.
Banks sit on powerful data they aren't using. We help you map your data architecture, identify the gaps between your core and your analytic capabilities, and prioritize what to close first.
Agentic AI is the first development in a generation that offers a bank a genuine structural advantage. It breaks the old link between headcount and output. But the technology is the price of entry, not the moat. The moat is what your bankers already hold: expertise in credit, risk, compliance, and relationships, and the judgment they apply when the policy manual runs out. Our advisory is built on five convictions.
Model selection is a risk decision, not a procurement detail. A model that informs an approval must be explainable, reproducible, and stable, because your bank will have to defend it.
Handing your AI layer to a core provider repeats the digital banking mistake of 2012: a generic product, forfeited differentiation, and permanent dependence. The bank that owns its agent layer owns the customer relationship.
Low-stakes work can run safely on a vendor's foundational model. As the consequence of being wrong rises, so should your control, up to decisioning models your institution owns outright.
No vendor goes a mile wide and a mile deep. Build a modular stack of best-in-class pieces that can be swapped as the market moves, instead of inheriting one platform's ceiling for the length of a contract.
AI amplifies the moats your institution already has. Without them, it amplifies nothing, and manufactures risk you cannot see.
Every bank engagement starts the same way: a structured look at what you actually have, before anyone talks about what you should buy.
A fixed-fee, three-day on-site engagement. We map your technology landscape, your contracts, and your constraints, then present three clear paths forward. You own every output, regardless of what comes next. One engagement per month available.
Learn More →A scoring discipline for deciding which AI initiatives your bank should pursue, and in what order. Built from production deployment experience, it turns a noisy list of AI ideas into a defensible sequence your board can act on.
Learn More →Sponsor banking can be a genuine growth engine for a bank, and a fast way to acquire risk you didn't price. We advise on both sides of that line.
Whether a sponsorship strategy fits your charter, your capital, your core, and your risk appetite, answered honestly before you commit, not discovered after.
Evaluate the programs asking for your charter the way an examiner will: financial durability, compliance maturity, operational competence, and what happens when volumes stress the relationship.
Build the third-party oversight your regulators expect before they ask for it, monitoring, reporting, and governance sized for a bank, not copied from a money center.
Understand what a program actually earns after compliance, staffing, and technology costs, and when the right decision is to walk away.
Embedded finance puts your bank's products where customers already are, inside software platforms, marketplaces, and fintech applications. Done well, it diversifies deposits and fee income. Done casually, it creates third-party risk your examiners will find before you do.
We help banks scope, evaluate, and stand up embedded finance strategies grounded in what your charter, your core, and your compliance program can actually support.
Your core system, your CRM, your data warehouse, your existing vendor relationships, your compliance posture, we call this your Tapestry. We map it before we advise on it.
No generic playbook. No rip-and-replace. Every recommendation we make is grounded in what your institution actually has, what it can realistically build, and what your board will realistically approve.
Whether you're evaluating your first AI vendor or building a multi-year technology roadmap, the right place to start is a conversation.