How Fintra checks each action, maps it to your frameworks and keeps the evidence

AI governance for finance is deciding, as it happens, whether an action taken by a person or an AI agent should be allowed against financial systems, and then proving that decision afterwards. In Fintra, Trust does this in one pass: it checks every action against a map of people, accounts, systems and agents and works out what the action reaches; maps it to the specific controls in 84 frameworks; gives it a trust score and a verdict (allow, ask for more proof, hold or block); ranks the decision for a person; and seals the whole thing into an append-only record. Consequential actions are drafts until a person confirms them: an AI agent can propose, but a named person approves before anything irreversible posts.

That is the question Trust answers on every consequential action. Reading a report is not the same as posting a journal entry or moving money. Trust looks at the action in context (the map, any dangerous combinations, what the action reaches) and, where an agent calls a tool, checks the call against an allowlist and argument rules and sends financially material actions to a person for approval. Low-risk reads go through so agents stay useful; irreversible or money-moving actions wait for a named person, and both the proposal and the approval are recorded.

The trust score is a number Trust works out for every consequential action from weighted signals: identity confidence, account and vendor trust, compliance standing and Fintra’s financial context. The same inputs always produce the same score, and every score comes with its factors, so a reviewer sees why an action was trusted or held. A second score rolls the per-action scores up for the whole organisation.

Every checked action (the request, the tool call, the verdict and the approval) is written to an append-only record in which each entry carries a cryptographic seal of the entry before it. Changing or deleting any entry breaks the chain, and the record can be recomputed at any time to prove it is intact. Each entry is also mapped to the controls it satisfies across frameworks, so daily work becomes audit evidence instead of being reconstructed later.

Before anything decides, Trust checks each event against a map of people, accounts, systems and AI agents, runs fixed detection rules, and works out a risk score and what the action reaches. It finds dangerous chains of conditions that each look harmless alone, which single-signal tools miss. Today the map is seeded with data from early customers; it decides, records and can stop an action, but it never acts on its own.

A SIEM or a dashboard tells you that something happened. Trust decides whether it should happen, before it does, scores it, holds or stops it, and proves it. Because it sees actions through Fintra, which runs the money, it grounds identity, fraud and compliance signals in real financial events (pending approvals, payment and payroll changes, new vendors and bank changes) that a standalone monitoring tool never sees. Every item in its list ends in a decision.