The system of record for AI systems, disclosures, and trust
Fragmented governance spreads definitions, approvals, and evidence across tools that don't share stable references. Clairist gives you one system of record — so your exports, reviews, and decisions are traceable end to end.
Platform
Every part of the AI trust record, in one workspace
Clairist is a single system of record: systems, disclosure records, evidence attachments, incidents, and exports that reference the same identifiers. That structure lets a reviewer follow a claim from an export row back to the stored artifact and the member action that recorded it.
Explore all featuresRegistry
AI systems inventory
Maintain a living record of systems, ownership, and risk posture. Scope and responsibility stay tied to the same rows as disclosures and evidence.
Evidence
Artifacts bound to the record
Evaluations, sign-offs, and reviews live as files with explicit links to systems and disclosures. Questionnaires map to stored objects instead of loose attachments.
Trust
Workspace index from defined scope
One summary reads completeness against the systems, disclosures, evidence, and incident handling your workspace defines. It is part of the record, not a separate analytics product.
Audit
Exports and history for review
Change history and export bundles carry who changed what, when, and which evidence attachments apply. The same fields appear in structured PDF and CSV outputs as in the workspace.
Why this matters
When a review lands, scattered files stop being good enough
Security, audit, and leadership teams ask the same questions: what systems you operate, what you assert about them, and what evidence supports it. When that work is spread across disconnected tools, review becomes reconstruction.
Clairist gives you a single, connected record so answers point to the same systems, disclosures, evidence, and history, without manual reconciliation.
From the record
What you hand to a reviewer
- Structured PDF and CSV exports with fields keyed to registered systems and disclosures.
- Evidence files stored with explicit bindings to the systems and disclosures they support.
- Attributable change history on systems, disclosures, and evidence (actor and timestamp).
- Optional public trust surfaces, published only under workspace controls you configure.
How it works
From inventory to audit-ready output
Inventory the systems you govern. Complete disclosures against that scope. Attach evidence to the same objects. Generate outputs from the record you keep current.
Step 01
Register AI systems
Disclosures, evidence, and incidents attach to registered systems. Capture ownership and risk context up front so scope and accountability stay explicit as the footprint changes.
Step 02
Define and complete disclosures
Author disclosures against the requirements that apply to each system. Review steps and evidence expectations stay on the same objects, instead of parallel status trackers.
Step 03
Attach evidence and approvals
Upload evaluations, test artifacts, and sign-offs, and bind them to the systems and disclosures they support. Reviewers follow the same references your exports carry.
Step 04
Report, export, and publish
Workspace summaries and structured exports read from the same record: systems, disclosures, evidence, and history. Optional public surfaces are workspace-controlled and limited to what you choose to expose.
Outputs depend on workspace configuration, evidence coverage, and the record your team maintains in Clairist.
Trust signals
Reflective index, not a verdict
Per-system Trust State and the workspace trust summary reflect how completely your record covers systems, disclosures, evidence, and incident handling. They are configuration-dependent and used for prioritization and review preparation, not as a substitute for policy or legal judgment.
Systems in inventory
Registered systems and the accountability fields you require. Inputs follow what you have scoped, not an external benchmark.
Requirements in scope
Disclosure fields, freshness, and required evidence attachments as defined for each system. This stays inside your record, not a detached checklist.
Incidents on record
Open incidents and handling steps as recorded against your workspace policies, tied to the same systems the rest of the record references.
Attribution and change trail
Member actions and change entries on systems, disclosures, and evidence. That is what auditors expect from a system of record.
Category weights follow workspace configuration, not fixed global rules. See Trust methodology for how composition is documented.
Security & governance
Built for reviewer-grade workflows
Role-scoped access, attributable change history, and exports keyed to registered systems and evidence attachments—so security and governance reviewers can follow the same identifiers your team uses day to day (not a substitute for your own assurance process).
Team-scoped access
Roles limit who can see evidence, incidents, billing, and workspace settings.
Attributable history
Updates to systems, evidence, and disclosures are recorded with who acted and when.
Encryption at rest
Evidence files are encrypted at rest; access follows team permissions.
Minimal data
Collects what teams need for accountability on AI systems and governance objects. No unrelated consumer profiling fields.
Security practices
Controls and processes designed for review; see our security overview for current posture and roadmap.
Identity and access
Workspace access today is email/password and Google sign-in. Enterprise SSO and SCIM are not implemented in beta; tell us about future rollout needs and we can discuss roadmap and plan fit.
Plans
Plans sized to your governance scope
Capacity scales with how many AI systems you're governing. The 7-day trial is a real evaluation environment. Run the full workflow before committing. Paid plans unlock production-scale governance, exports, and team workflows.
Launch
Up to 3 AI systems
For teams establishing a structured AI governance baseline.
Growth
Up to 25 AI systems
For teams operating AI systems in production with ongoing workflows.
Enterprise
Unlimited AI systems
For organizations running formal reviews, audits, and enterprise rollouts.
| Feature | Launch | Growth | Enterprise |
|---|---|---|---|
| Core Governance | |||
| AI systems included | Up to 3 | Up to 25 | Unlimited |
| Disclosure workflows | |||
| Evidence linking | |||
| Workspace trust summary | |||
| Incident tracking | |||
| Included Capacity | |||
| Evidence items | 150 | 3,000 | Unlimited |
| Disclosures | 200 | 3,500 | Unlimited |
| Monthly exports | 12 / month | 120 / month | Unlimited |
| Public trust publication | Paid activation | ||
| Team & Workflow | |||
| Team-scoped access | |||
| Review & approval workflows | |||
| Audit trail & history | |||
| Enterprise Readiness | |||
| SSO / SCIM (enterprise roadmap) | — | — | Roadmap |
| Procurement & security review | — | — | |
| Custom rollout & contract terms | — | — | |
| Advanced governance controls | — | — | |
| Dedicated onboarding support | — | — | |
| Getting Started | |||
| 7-day evaluation trial | — | ||
| Price | $49 / month | $199 / month | Custom |
| Best for | Early governance | Production teams | Enterprise rollouts |
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Build the AI trust record your team can stand behind.
Run the full workflow in your workspace—from registered systems to audit-ready exports—and see how the record holds up in review.