Sense AI · Assurance, risk, and evaluation

Make AI release a reviewable decision backed by workflow evidence.

We connect intended use, workflow risk, representative evaluation, control tests, known limits, exceptions, owners, and change triggers in one release dossier. Assurance can support new delivery or repair an existing pilot.

Review AI assurance See the release dossier

Risk: Affected parties, decisions, data, action, reversibility, material failure, and oversight
Evaluation: Representative cases, domain rubrics, thresholds, control tests, and exceptions
Decision: Approve, condition, repair, hold, or reject with owner and review trigger

01 · Risk frame

The same component carries different risk in a different workflow.

The workflow frame establishes proportionate controls and proof expectations before evaluation cases are built.

Affected context

People, rights, access, money, safety, operations, commitments, and jurisdictions touched by the workflow.

Material failure

Wrong decision, unsupported claim, hidden denial, data exposure, unauthorised action, stuck work, and silent partial completion.

Oversight and recovery

Human authority, reversibility, intervention, containment, reconciliation, notification, and suspension.

02 · Measurement

Task quality, evidence support, control behavior, and user impact need separate findings.

Case sets include ordinary, edge, denied, missing, conflicting, adversarial, and interrupted conditions with accountable domain reviewers.

Define cases

Representative population, expected behavior, prohibited behavior, evidence, and consequence segment.

Define rubrics

Task result, support, access, policy, tool behavior, human handoff, and operating outcome.

Set thresholds

Acceptance by case class, confidence bounds, material failure ceiling, and reviewer agreement.

Review findings

Failures, clusters, limits, compensating controls, exceptions, and accountable decision.

03 · Control assurance

A useful result does not compensate for a broken permission or approval boundary.

Control tests exercise identity propagation, source permissions, data handling, tool authority, approval, telemetry, failure behavior, and suspension.

Identity and data

User and tenant context, source filters, sensitive handling, retention, deletion, and denied-access cases.

Permission and data-boundary results

Action and approval

Tool scope, policy enforcement, current approval, idempotency, receipts, and reconciliation.

Authority and side-effect results

Failure and operations

Timeout, dependency loss, fallback, refusal, escalation, containment, rollback, and suspension.

Operational control results

04 · Decision record

A reviewer should be able to reconstruct why this workflow was allowed to operate.

The dossier links intended use, scope, evaluation and control results, known limitations, exceptions, approvers, operating owners, and material change triggers.

Illustrative reference patternRelease assurance dossier

Release dossierExample workflow release

Approval with conditions

Intended useBoundedOwner approved

Task evaluationPassedThreshold met

Permission testsPassedDenied cases included

Known limitationOpenCompensating review

Illustrative pattern. Release evidence is tied to a defined workflow revision and invalidated when a material dependency or boundary changes.

Versioned claim

The approval applies to a named workflow, model and prompt configuration, sources, tools, policy, and case population.

Explicit conditions

Compensating review, traffic bounds, user segment, or disabled actions remain visible beside approval.

Change invalidation

Material changes trigger defined re-evaluation rather than inheriting stale approval.

05 · Engagement contract

Assurance becomes useful when it changes release and operating decisions.

Teams receive decision rights, risk and evaluation assets, evidence retention, exception routes, change triggers, and a cadence aligned with service change.

Assurance framework

Workflow risk method, role map, case and rubric standards, thresholds, and decision taxonomy.

Release dossier

Intended use, findings, control proof, limitations, exceptions, approvers, owners, and triggers.

Operating cadence

Incident feedback, drift and case review, exception expiry, change assessment, suspension, and reapproval.

Engagement contract

What must be true, who owns what, and what leaves the engagement.

A good fit when

Teams approaching production release
Risk, security, compliance, or audit leaders needing a reviewable decision
Existing services with weak evaluation or undocumented exceptions

Required before delivery

A defined workflow revision and intended use
Representative cases and accountable domain reviewers
Access to identity, source, tool, telemetry, and operating evidence

Customer owns

Approve risk method and acceptance thresholds
Provide policy, legal, compliance, and domain authorities
Make and retain the release and residual-risk decision

Delivery outputs

Workflow risk and evaluation framework
Representative case and control-test suite
Release dossier, exception register, and review cadence

Not included by default

Azure tenant, network, identity, Foundry, Search, monitoring, or platform foundation unless Sense Cloud is included in scope
A production guarantee based on a prototype or vendor benchmark
Unrestricted autonomous action or implicit approval authority
Customer policy, source ownership, or risk acceptance decisions
Legal certification or replacement of accountable risk authorities

Questions to answer first

Which material failure must the threshold prevent?
What exact workflow revision does approval cover?
Which changes invalidate the release decision?

The next step is a bounded working session: one workflow, its evidence sources, the decision owner, and the conditions under which the system must stop or hand over.

Review AI assurance