AURELIS AAI · AI CHANGE & RELEASE ASSURANCE

Your AI changed.
Are you sure it should ship?

Aurelis evaluates consequential AI changes before production—and retains the evidence behind every release decision.

Test a Change Request Access

Change → Identity → Impact → Policy → Evaluation → Control → Evidence

CHANGE PROPOSALPRE-RELEASE

AGENT-07 · TOOL SCOPE UPDATE

from READ / TICKETto WRITE / CUSTOMER_RECORD

IDENTITY→AUTHORITY→IMPACT→POLICY

CONTROL DECISIONESCALATE

Authority expansion requires explicit review before release.

THE CURRENT WEDGE

Every consequential AI change gets a control boundary before production.

Model swaps, agent releases, tool-permission changes, policy changes and material dependency changes can alter what an AI system is able to do. Aurelis evaluates the change as a release event—not merely as a model-quality score.

01CHANGEWhat is being modified?

02IDENTITYWhich exact system/version?

03IMPACTWhat authority or surface changes?

04POLICYWhich constraints apply?

05EVALUATIONWhat must pass before release?

06CONTROLAllow, constrain, escalate or deny.

07EVIDENCEWhat proves the decision?

TEST A CHANGE · PUBLIC DEMONSTRATION

Submit a change. See what the assurance layer catches.

Synthetic/public demonstration. It does not claim to assess a real customer system. The point is the control logic: identify the change, expose its impact, apply policy, make a release decision and create a reviewable record.

ASSURANCE RUN / SYNTHETICREADY

RELEASE DECISION—

CONTROL BASISSelect a change and evaluate it.

CHANGEUNTESTED

IDENTITYUNTESTED

IMPACTUNTESTED

POLICYUNTESTED

EVIDENCENOT CREATED

RUN ID—

Awaiting evaluation.

RELEASE EVIDENCE

Do not just decide. Retain why the release was allowed or stopped.

Each assessment can bind the exact change, system version, policy basis, control decision and resulting evidence into a release record suitable for review, retesting and operational handoff.

RELEASE ASSURANCE RECORDBOUND

AGENT-07 release candidate · production

CHANGETOOL SCOPE

IMPACTWRITE ACCESS

POLICYP-104

DECISIONESCALATE

RETESTREQUIRED

PROVENANCEBOUND

Evidence chainChange → Policy → Decision → Retest

EV-0041Change manifestBOUND

EV-0042Policy snapshotHASHED

EV-0043Decision recordBOUND

EV-0044Retest conditionREADY

ASSURANCE ARCHITECTURE

A control lattice around consequential AI change.

Drag the structure to rotate it. Hover a node for its role. Click a node to bring its control boundary forward.

ASSURANCE LATTICESelect a node to inspect its control boundary.

UPCOMING

One focused product now. Broader assurance infrastructure later.

The wider AAI surface is intentionally shown as future capability rather than presented as finished infrastructure.

01AI IdentityIdentity and delegated authority

02AI Spend InfrastructureCost and spend boundaries

03AI Incident InfrastructureContainment and response

04AI Recovery InfrastructureRecovery and reassessment

05AI Supply-Chain InfrastructureDependency and provenance

06AI Vendor Risk InfrastructureThird-party assurance

07AI Compliance EvidenceEvidence collection and traceability

08AI Data-Access ControlData authorization boundaries

09AI-to-AI TrustMachine identity and delegation

10AI Assurance InfrastructureCross-system assurance state

11AI Observability & OutcomesOutcome and control telemetry

READY FOR A REAL CHANGE?

Give Aurelis one upcoming AI change to assess.

Use the public demonstration first, then request access for a real assessment workflow.