Responsible-use mapping
Tailor positions AI assistance as part of a governed review process: reviewers remain accountable, AI assistance is labelled, and final document decisions require human approval.
Tailor buyer evidence
This public pack maps Tailor's documented AI-assisted review workflow to responsible-use, procurement, governance, and human-accountability questions for public-sector and regulated buyers.
This artifact is a buyer-evaluation pack, not a government certification, audit accreditation, procurement approval, legal opinion, or third-party endorsement. Use it to structure review questions and evidence requests. Customer-specific assurance, certification, adoption, performance, and approval claims require separate approved evidence.
Tailor positions AI assistance as part of a governed review process: reviewers remain accountable, AI assistance is labelled, and final document decisions require human approval.
Procurement review should map source documents, prompts, generated suggestions, derived data, telemetry, audit logs, support access, exports, backups, and model or API gateways before sensitive document classes are approved.
Buyers should assign a workflow owner, data owner, security owner, and final approver before using AI assistance on sensitive documents. The pack helps those owners define risk boundaries.
Public-sector and regulated teams should connect impact-assessment prompts, use-case risk notes, policy exceptions, reviewer positions, and accountable approval boundaries before a policy review record is treated as procurement evidence.
The evidence path covers security review, data residency questions, access controls, reviewer roles, AI-assistance boundaries, audit exports, and retained decision evidence.
Tailor buyer pages describe workflows where repeated comments, conflicts, accepted changes, rejected positions, escalations, and approval rationale stay visible to human reviewers.
Assurance review should confirm that AI assistance is bounded to approved review tasks, cannot silently approve regulated decisions, and has clear human control points, interruption paths, and audit records.
Buyers can inspect source-linked findings, reviewer roles, AI assistance labels, timestamps, decision status, rationale, and exportable audit records before expanding a pilot.
Expansion should be tied to a named governance owner, approved security posture, pilot success criteria, unresolved-risk review, and retained evidence rather than a generic productivity claim.
| Buyer question | Evidence to inspect | Claim boundary |
|---|---|---|
| Who remains accountable for final wording? | Reviewer role, final approver, approval state, and rationale. | Do not imply autonomous approval or legal advice. |
| How is AI assistance labelled? | AI-assistance labels, issue grouping, and human accept/reject outcomes. | Do not imply invisible model decisions or unreviewed changes. |
| How does policy review connect to AI impact assessment? | Use-case risk notes, policy exceptions, reviewer positions, accountable owner, and final approval boundary. | Do not present Tailor as an official impact-assessment tool or government-endorsed policy decision. |
| How are sensitive documents protected? | Security and data-residency one-pager, AI processing boundary, access controls, support-access limits, and audit-log posture. | Do not exceed published hosting, processing, retention, support-access, or deletion evidence. |
| Can AI act without a reviewer? | Human approval gates, role controls, interruption or escalation paths, and retained accept/reject history. | Do not imply autonomous approval, autonomous negotiation, or operational control. |
| How can procurement verify the record? | Sample audit trail export, source-linked evidence, and retained decision status. | Use synthetic or approved redacted records only. |
Start with the government AI document review procurement checklist, then inspect the security and data residency one-pager and the synthetic sample audit trail export. Use those artifacts to decide whether a controlled pilot has enough governance, security, and human-approval evidence to proceed.
This pack is assembled from currently published Tailor pages and artifacts: