How do you handle regulatory compliance?

Hard-coded policy + KYC + sanctions screening runs before any agent decision. Every action lands in a legal-grade audit log. Compliance teams get read-only dashboards and replay tooling out of the box.

Is this safe for customer-facing decisions?

Where regulation allows — yes, with HITL for high-impact decisions. The pattern is: AI proposes, human approves, audit captures. The agent never green-lights a decline or a payout solo.

Can it integrate with existing core banking systems?

Yes — via webhook + API. We've integrated with Mambu, Finastra, and bespoke core banking platforms; the agent layer adapts to the system, not the other way around.

Industries

Financial Services

Compliance-aware automation that survives audit.

Regulated environments are AI's hardest mode — audit trails, model-risk frameworks, no hallucinations on numbers. I ship pipelines that operate inside those rails, not around them.

Full immutable audit log per agent run — exportable as PDF for exam
Model-risk controls: confidence thresholds, human sign-off gates
Source-grounded outputs only — no hallucinated numbers
Red-team scripts run against every new pipeline before production

Why

Regulators care about reproducibility: if you can't show what data the model saw, what decision it made, and why, the output doesn't exist. Every run ships with an immutable audit trail that survives exam.

How

Source-grounded outputs only — every claim traced to a source document
Immutable audit log per run, exportable as PDF for compliance review
Model-risk controls: confidence thresholds, human sign-off at decision gates

Proof

Audit coverage: 100% of runs
Output grounding: source-only, enforced
Model-risk framework: built-in from v1

Financial Services — controlled by design

Audit-grade by default

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FAQ

How do you handle regulatory compliance?: Hard-coded policy + KYC + sanctions screening runs before any agent decision. Every action lands in a legal-grade audit log. Compliance teams get read-only dashboards and replay tooling out of the box.
Is this safe for customer-facing decisions?: Where regulation allows — yes, with HITL for high-impact decisions. The pattern is: AI proposes, human approves, audit captures. The agent never green-lights a decline or a payout solo.
Can it integrate with existing core banking systems?: Yes — via webhook + API. We've integrated with Mambu, Finastra, and bespoke core banking platforms; the agent layer adapts to the system, not the other way around.

In production

Pre-decision compliance gate
Hard-coded policy + KYC + sanctions runs before any agent decision. Failure short-circuits, audit captures every check.
Core-banking integrations
Wired to Mambu, Finastra, and bespoke cores via webhook + API. Agent layer adapts to the system.
Replay + audit dashboards
Compliance teams get read-only dashboards and full run replay. Auditors see the trace, not screenshots.

Talk to Mat See pricing

Use Cases

Security

AI-assisted code review and threat modeling.

Platforms

BOAI

AI-first backoffice.

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