AI features your compliance team can sleep through.
AI, automation and senior product engineering for fintech teams who can't afford for things to feel rough.
[ industry editorial photo ]
— Editorial photo: modern bank facade, brutalist concrete, morning light. Or close-up of a hand on a payments terminal at golden hour. Avoid stock 'fintech man pointing at hologram' photography at all costs.
Why fintech is a fit
Fintech sits in the sweet spot for the work I do best:
- High-stakes, so integrity matters and shortcuts get caught.
- Manual-process-heavy, so automation pays back fast.
- Customer-trust-dependent, so shipping with confidence isn’t optional.
The teams I help most aren’t trying to chase trends — they’re trying to ship the AI/automation work that compounds for years without ever showing up in a press release.
What I typically build in fintech
- Internal copilots for support, ops, and underwriting teams — grounded in the company’s own documents, not the open internet.
- Reconciliation, classification, and review automation — replacing the spreadsheet-and-screenshot loop without removing the human where the human matters.
- Customer-facing AI features that pass legal/compliance review because they’re scoped and observed from day one.
- Migrations — vendor swaps for comms, payments, KYC — done one customer at a time, with a rollback path.
Where I draw the line
Anywhere AI is being deployed to replace a human in a decision that affects a customer’s money or trust without a clear escalation path, I’ll push back hard. That’s true even when “the model is right 95% of the time.” 5% of life-changing decisions is not a bar.