Operational evidence for audit-heavy AI and workflow actions.
GeoClear helps customers retain verifiable evidence that an action followed the approved evidence path before acceptance. Evidence can be customer-held, locally verified, and reviewed later for audit, governance, procurement, and compliance workflows.
GeoClear does not verify the AI was right. It verifies whether the action followed the approved evidence path before the customer-designated receiving system accepted it.
Compliance teams need evidence before and after action.
As agents, workflows, tools, and automated systems perform higher-impact work, compliance teams need evidence that required policy, approval, and review steps happened before the receiving system accepted the action.
Verification before acceptance
Evidence is verified before the receiving system acts on it.
Customer-held evidence
The customer keeps the evidence artifact.
Local verification
Evidence verifies locally with customer-held material.
Audit replay
Evidence can be re-verified later, independent of GeoClear application servers.
The operational evidence model.
What the customer keeps.
Raw mission or enterprise data does not need to leave the customer boundary by default. The customer retains the evidence packet and verification material for later review.
- Issued operational evidence record
- Evidence packet summary
- Policy reference or policy-result record
- Evidence commitments
- Approval state
- Freshness / expiration
- Verification material
- Bundle manifest
- Offline verification instructions
What this verifies. What this does not verify.
The trust boundary and the claim boundary, together. Strict claim discipline.
What this verifies
- The evidence packet was issued by the configured trust boundary.
- The retained evidence matches the issued artifact.
- The verification material validates the signature.
- The evidence packet was not modified after issuance.
- The action followed the approved evidence path before acceptance.
What this does not verify
- That the AI was right.
- That every upstream dataset was perfect.
- That the physical world itself was verified.
- That the downstream business decision was risk-free.
- Full legal or regulatory compliance by itself.
Where policy runs.
Three ways to produce the policy result. One verification path.
Customer-computed
The customer computes the policy result locally. GeoClear binds and signs the result into operational evidence.
Minimized evaluation
GeoClear evaluates only customer-approved minimized attributes.
Customer-controlled boundary
GeoClear runs inside a customer-controlled or authorized integrator-managed boundary for high-assurance environments.
Compliance use cases.
Action types where receiving systems benefit from operational evidence before acceptance.
AI agent approvals
Evidence before agent-initiated approvals or actions are accepted.
Back-office automation
Approvals, payments, procurement, finance, and administrative workflows.
Financial & regulated workflows
Underwriting, audit, compliance-heavy, and high-impact financial workflows.
Claims, risk & underwriting
Evidence before approval, hold, dispute, or escalation.
Visual evidence review
Model-generated observations entering downstream routing.
Autonomous logistics & custody
Route, dispatch, custody, geofence, and handoff workflows.
Federal / high-assurance workflows
Sovereign, restricted, DDIL, and customer-controlled deployments.
Agent CI/CD and behavioral release gates
Evidence that agent plans and behaviors passed policy checks before deployment. Customer-held operational evidence records support audit and re-verification later.
Claim-source provenance.
Distinguish what the customer declared, what a source attested, what GeoClear verified, and what is demo-synthetic.
Evidence records may include claim-source provenance so reviewers can distinguish customer-declared, source-attested, GeoClear-verified, and demo-synthetic fields. This makes downstream audit, review, and regulatory inquiry able to read each field at its actual level of attestation.
Governance controls supported by operational evidence.
Eight metrics that operational evidence makes measurable and auditable.
Approval coverage
Share of actions with required approval state present.
Missing-evidence hold rate
Share held because required evidence was not present.
Tamper rejection rate
Share rejected because verification material did not validate.
False hold review
Holds that were later cleared, with the evidence trail.
Audit replay success
Share of retained evidence re-verified successfully on replay.
Evidence retention coverage
Share of in-scope actions with a retained customer-held bundle.
Policy-version traceability
Each evidence record references the active policy version.
Customer-held verification
Verification independent of GeoClear application servers.
Security and compliance posture.
High-level posture only. Detailed substrate, control mappings, and remediation timelines are available under NDA via the Security Architecture Brief.
- Encryption in transit and at rest.
- Least-privilege access across infrastructure.
- Controlled production access for engineers.
- Vulnerability disclosure with a 72 business-hour acknowledgement target.
- Audit logging on production service paths.
- Customer-held evidence for downstream audit and review.
- Local verification with retained verification material.
- SOC 2 readiness in progress.
Designed for customer trust boundaries.
GeoClear can support customer-computed policy, minimized evaluation, or customer-controlled deployment patterns depending on the customer’s security and governance requirements.
Last updated: 2026-05-31