AI for the firms that ship regulated-finance software.
Payments, lending, banking-ops, capital-markets tech, treasury and CFO platforms. Enterprise finance procurement teams will ask for AI-feature attestations before renewal. We make those attestations a byproduct of how the platform runs.
Built for fintech teams selling into banks, asset managers, and regulated finance buyers where AI-feature attestations are part of the renewal.
AI for fintech is shipping in-product AI features and proving them to enterprise buyers on one evidence pipeline. The same pipeline closes both loops, so customer-specific evals, AIUC-1 readiness, and AI-policy disclosure run on one infrastructure.
Five fintech sub-segments.
One regulatory perimeter, five distinct buyer shapes. We map the engagement to whichever shape your platform sits in.
Five fintech sub-segments.
| Sub-segment | Buyer profile |
|---|---|
| Payments | CTO, VP Engineering, CISO. Frequent AI-feature shipping in fraud, FX, and dispute workflows. |
| Lending | CTO, Chief Credit Officer. Underwriting and collections AI live inside the credit policy. |
| Banking-ops software (PE-backed) | CIO. Multi-tenant integration plus post-M&A integration debt across portfolio platforms. |
| Capital-markets tech | CTO, Head of Engineering. Trading-side and post-trade AI under regulator-accessible audit trails. |
| Treasury and CFO software | CTO, Head of Product. Finance-team workflow AI shipped into enterprise procurement scrutiny. |
Where AI moves the needle.
Five recurring fintech-specific workstreams. Each one shows up across payments, lending, and banking-ops with the same procurement pressure.
- In-product AI feature evals. Standard and Custom evals on the AI features your product ships.
- Customer-facing AI attestations. AIUC-1 readiness, model risk documentation, customer-facing AI policy disclosure.
- Customer-driven model risk. Your customers' SR 11-7 and NYDFS exposure flowing back into your AI feature requirements.
- Internal AI tooling rollout. Engineering, support, and sales: vibe-coding governance, enterprise AI chatbot, search.
- Vendor model governance. Third-party model evaluation embedded in your feature stack.
Fintech compliance is customer-driven.
The bank you sell to is under SR 11-7, NYDFS, and FFIEC. That flows down to you as procurement requirements on every renewal. We produce the evidence pipeline that closes those procurement loops without forcing you to build a compliance team. AIUC-1 readiness on AI features is a particular high-priority pattern in fintech.
Start with Audit. Sequence the workstreams.
One order, applied across the engagement. The AI Audit produces the operating read, then AI Transformation, AI Governance, and AI Fluency sequence per the customer's priority.
- AI AuditCross-cutting operating read. Two-week deliverable. Reads the AI-feature surface against the customer-procurement requirement.
- AI Transformation + EvalsIn-product feature work plus eval pipelines, Standard or Custom, running on your existing observability.
- AI GovernanceAIUC-1 readiness and customer-facing attestations. Continuous evidence pipeline, not a separate compliance project.
- AI FluencyEngineering, product, and customer success role-fluent on shipping AI features under enterprise procurement scrutiny.
Start with an AI Audit baseline.
Discovery call. Calendar link within 60 seconds.
Frequently asked.
The AI Audit and a Standard Evals engagement are sized for a single-feature footprint. The governance and AI-policy work scales when your enterprise customers start asking for attestations.
That is the AI Transformation shape. The AI Audit covers the multi-entity inventory, then AI Transformation runs the integration-priority work pillar by pillar.
Observability tells you what happened. Evals tell you whether what happened was correct for your customer's use case. We sit on top of your observability stack, not in place of it.