Product
Always know. Always evidence. Always be ready.
One platform from regulation to runtime: every AI you run, every rule it must follow, every action it takes — inventoried, enforced, and sealed as proof.
01 · Executive AI Trust Dashboard
One number your board can ask about. Every number behind it, sealed.
A single Trust Score, decomposed into Compliance, Responsible AI, Security and Audit-Readiness — computed deterministically from your controls, never by a black box. Live tiles show agents governed, requests today, actions blocked and escalations pending. Every figure on this screen traces to a sealed evidence record; nothing is a vanity metric.
02 · AI Inventory
Every model. Every agent. Every spreadsheet that decides.
Continuous discovery across gateways, cloud APIs, provider billing and code repos — reconciled into one registry with owners, risk tiers, dependencies and validation status. Anything discovered but unregistered becomes a finding automatically. No record, no deployment.
03 · Policy Studio · Rule packs
The regulation, compiled.
RBI FREE-AI and Draft MRM as executable rules today; MAS AIRM next. Every rule carries its citation down to the paragraph, its trigger, its enforcement mode and the evidence it produces. Drafts are flagged as drafts — when final text lands, you get the diff, not a migration. Human-approved before it runs.
04 · Guardrails · Observe → Enforce
Start by watching. Enforce when you’re ready. Flip per policy, per agent.
PII redaction, prompt-injection screening, disclosure checks and human-approval gates run inline on every LLM call. Each guardrail starts in observe mode — recording exactly what it would have blocked — and flips to enforce with one approved, sealed change. The same policy can enforce on your chat assistant while observing on your credit flow.
Fail-open by design, except the kill switch. Your critical path stays yours.
06 · Human-in-the-loop approvals
High-stakes actions wait for a human. With an SLA.
Escalated actions park in a queue routed to the right role, with timers, step-up authentication for high-value approvals, and a signed decision sealed into evidence. Approval rates and decision times are monitored — so human oversight stays real oversight, not a rubber stamp.
05 · Live request ledger
Every action, every verdict, hash-chained as it happens.
A tamper-evident stream of every request through the guardrail layer: what was allowed, redacted, blocked or escalated, under which rule, at which timestamp. This is the record RBI’s audit-trail mandate asks for — produced as a by-product of running, not reconstructed before an inspection.
07 · Evidence vault
Proof your regulator can verify without trusting us.
Every artifact — assessments, validations, approvals, action traces, drill records — hash-chained per asset, Merkle-rooted daily, stored on write-once storage with keys your bank holds. Verification runs nightly; auditors can re-verify offline with an open CLI.
08 · Reports · Board & inspection packs
From sealed data to a pack your board — or your inspector — accepts.
One click renders board packs (scores, trends, guardrail statistics), RBI MRM exports, FREE-AI gap reports and full inspection packs. Every generated report is itself sealed — what the board saw is what the inspector sees.
09 · Responsible AI assurance
Ten dimensions. Named owners. Deadlines, not pledges.
Fairness, explainability, contestability and seven more — evaluated on a rolling weekly cycle across every customer-impacting system. Any dimension below its board-agreed target opens a finding with a named owner and a remediation deadline. A scorecard, not a statement of values.
10 · Agent detail
Drill from any number to the agent behind it.
Per-agent posture: effective policies, guardrail modes, quality metrics, open findings and full action history — one page per agent, evidence-linked, down to the enforcement chain that runs on every request.
We're building this with 3 founding institutions.
90 days to your first inspection simulation.