01source binding
Intake
Commitment context, offer type, and responsible roles are captured in a structured way.
Synthetic orientation — AI Governance Operating System
AI drafts are not approved business commitments yet.
A claim-safe concept page for B2B companies that need to control AI-assisted processes with roles, policy gates, review, commit, and audit evidence. OfferFlow — the workflow for offers, RFPs, and change requests — is the first demonstrated use case on the UNITERA OS.
Price, scope, claims, and approval in one path.
Synthetic proof, no customer proof.
Audit-oriented handoff between draft and commit.
Boundary / Claim / Evidence
The problem
01
AI accelerates drafting, not governance.
Generative AI reduces the time needed to draft offers, but the review cycle after drafting can remain unchanged or become more fragile.
02
Price, scope, and claims can leave without a gate.
Discounts, performance promises, and liability-adjacent wording can land in a version that no authorized role has formally approved.
03
The controlled handoff path is missing.
The control problem sits between draft and commitment: a role-based, auditable transition instead of informal handoff.
Concept Layer v1 · synthetic
The controlled path
02version lock
Context Binding
Document, rule, and version context are bound without claiming an active integration.
03draft surface
Governed Draft
AI creates a reviewable draft with bound context inside a controlled workspace.
04gate separation
Policy Evaluation
Runtime-adjacent gates and illustrative decision layers remain visibly separate.
05parallel review
Multi-Role Review
Finance, legal, and sales review in defined queues with clear escalation paths.
06decision log
Approval Console
Approve, conditional approve, return, or reject decisions are documented and timestamped.
07payload hash
Traceable Commit
The commit action binds approved version, payload hash, and target state.
08synthetic trail
Audit-Oriented Evidence
Context, gate classification, reviews, approval, and commit are collected as a synthetic example trail.
Before / After
Uncontrolled vs. controlled path
Uncontrolled
- AI draft without context binding or policy check
- Informal review without role clarity
- Verbal, undocumented approval
- Price, scope, and claims leaving without a gate
- No reliable evidence trail
Controlled
- Intake and context binding before drafting
- Policy evaluation with separated gate types
- Multi-role review with escalation paths
- Documented approval with timestamp and traceability
- Synthetic audit-oriented evidence example trail
Synthetic · no customer proof
Four artifacts for problem reflection
Artifact 01 · PDF
Problem Brief: Draft-to-Commit Gap
A concise brief on the core problem: AI draft, review, approval, commit, and audit evidence in one page.
Artifact 02 · PDF
Revenue Commitment Risk Checklist
Eight review questions with a clear distinction between runtime, docs-only, and evidence-adjacent gates.
Artifact 03 · PDF
Mini Audit Evidence Demo
A synthetic commitment run with gate classification, review, approval, and an audit timeline as an end-to-end example.
Artifact 04 · PDF
B2B Claims Contact Signal Matrix
A planning artifact for claim-safe outreach signals; not customer, ROI, or integration evidence.
Boundary: All artifacts are synthetic orientation documents. They do not claim active customer implementation, a productive integration path, or regulatory conformity.
Revenue Commitment Risk Checklist
Checks whether an AI-assisted offer or RFP process is controlled enough before it becomes a binding customer promise.
0 / 8 checked
Map your process against the checklist?
Using AI in offer, RFP, or change-request processes? The process reflection checks only problem and control points: no demo, no procurement step.
Synthetic demo · AI Governance Operating System Preview · No legal, compliance, integration, or customer-proof claim. No production-readiness claim. No compliance or integration claim.