Name the reviewer.
Regulator, auditor, board, insurer, customer, program office, executive team, or mission-assurance lead.
Use cases
Your industry. Your decisions. Evidence you can explain.
An agency checking a client message and a bank reviewing a model change face different stakes. Both need to know which rules applied, what evidence mattered and who kept authority. Explore the examples below to see where Forge fits your work.
AI agents
Prove why an agent action was allowed before the enterprise has to defend it to a regulator, board, auditor, customer, or executive team.
Open AI agents
02 / Model governance
Financial services
Prove why a model change, trading control, credit decision, exception, or AI-driven workflow cleared the firm's rules.
Open financial services
03 / Underwriting and claims
Insurance
Keep the evidence and rules behind an underwriting or claims decision together. Your workflow or an agreed adapter prepares the inputs; Forge produces a trail your reviewers can inspect.
Open insurance
04 / Legal, compliance, audit
Legal and audit
Defend approvals, exceptions, compliance decisions, and audit findings without asking the reviewer to trust a self-attested log.
Open legal and audit
05 / Cyber and infrastructure
Critical infrastructure
Support high-consequence response, infrastructure readiness, vendor risk, and cyber decisions with proof that survives incident review.
Open critical infrastructure
06 / Mission accountability
Federal AI accountability
Give a program office, commander, inspector, or mission-assurance team the proof trail behind an autonomous or AI-assisted action.
Open federal AI
How the system works
Evidence in. Proof out.
See the plain-English flow: evidence in, rule applied, uncertainty held, human authority preserved, record verified, and calibration measured only from authorized retained outcomes.
See how Forge works
Start with the work you want to check.
Tell us what your AI can do, which decisions need review and who manages your systems. We agree the integration scope and how your team will judge the result. The examples here explain the approach; they are not reports of customer deployments.
Name the decision.
The customer-defined action that needs proof, selected from the exact menu that workflow submits.
Build the first proof.
Use synthetic, sanitized, or approved workflow evidence first. Then expand only if the proof trail earns it.
Bring the decision you do not want to explain from memory.
Forge works best when the buyer has a live workflow, a reviewer who matters, and evidence that is currently scattered across tools.