AI consulting for financial firms
Automate the busywork. Keep the audit trail.
CPA firms, advisors, brokers, and community banks run on judgment, and they drown in the document work around it. We deploy AI that clears the busywork, with every output logged, reviewed, and traceable, because in your business "the AI did it" is not an answer.
Client data is not training data.
Your clients’ financials, your deal flow, your models: none of it should quietly improve someone else’s product. We read vendor terms line by line and configure accordingly, or keep the work inside your walls.
A made-up number is a fired firm.
AI can be confidently wrong. In client deliverables, that’s not an inconvenience. It’s a liability. Our rule: no client-facing figure ships without human review, and the review step is built into the workflow, not bolted on.
Your regulator will have questions.
Examiners and auditors increasingly ask how AI is used, governed, and supervised. We write the answer down before you need it: policies, logs, and documentation that show exactly which model did what.
Where AI pays for itself in a financial firm
Reconciliation & tie-outs
AI matches, flags exceptions, and drafts the workpaper; your staff resolves and signs.
Document review
Engagement letters, statements, contracts, and filings summarized with source passages linked for verification.
Client reports & commentary
First drafts in your house style; the advisor edits, approves, sends.
KYC/AML narratives
Drafted from case facts, reviewed by compliance.
Research summarization
Regs, pronouncements, and market research condensed with citations back to the source.
Audit workpaper support
Documentation drafts, tickmark summaries, and PBC follow-ups, reviewed before filing.
No client-facing number, filing, or recommendation goes out without a human sign-off. AI drafts and flags; your professionals decide.
“Built to survive an exam.”
- Vendor terms reviewed for data use and retention: client data configured out of training
- Access controls and logging so every AI-assisted output is traceable
- Model-origin screening: some models fail data-residency or procurement rules regardless of price. We screen before we recommend
- Written AI-use policy your firm can hand an examiner
- Zero open items at handoff, in writing
The Payback Audit (1–2 weeks) → first workflow live in under 2 weeks → full rollout with role-based training → 3 months of support, or ongoing advisory.
Scoped right. Built right. Priced right.
See exactly what you get for $2,500: the Payback Audit sample report, with the deliverable’s full structure and illustrative figures.
References from current engagements available on request.
“Can we use AI with client financial data at all?”
Yes, with the right configuration. The deciding factors are where the data goes, what the vendor may do with it, and what your obligations (GLBA, state privacy law, your engagement letters) require. That mapping is the first thing the audit produces. Where the answer is "nowhere," we deploy privately.
“What do we tell our regulator or peer reviewer?”
You hand them the documentation we wrote: what tools are in use, what data they touch, who reviews outputs, and the logs to prove it. The goal is that AI use makes your file stronger, not shakier.
“How do you measure the ROI?”
Baseline first: we time the workflows before AI touches them. Then we measure after: hours saved, cycle time, error rates. You get the before/after in a form you’d accept from a client. If a workflow doesn’t pay, we tell you and turn it off.
“What happens when a vendor changes its pricing or terms?”
You’re not trapped. We build workflows to be portable across models, keep a tested fallback, and re-benchmark as the market reprices, so a vendor’s bad quarter doesn’t become yours.
See the ROI math before you spend a dollar.
The Payback Audit baselines your workflows and prices the opportunity, in writing.