Pricing & Margin
Discounts, package logic, term length, and assumptions need review from finance or revenue leadership.
AI Proposal Governance
Move AI-assisted offers from draft to approved commitment.
UNITERA helps revenue, legal, finance, and delivery teams avoid treating proposal drafts as business commitments before context binding, policy gates, review, approval, commit, and audit evidence are in place.
Problem
An AI proposal draft can shift price, scope, and claims before anyone approves it.
When AI-generated proposals leave the organization without a clear review path, risk begins in the draft: in discounts, scope language, side terms, promises, and the version no one can reconstruct later.
Scope & Delivery
Scope, handoffs, and service boundaries need delivery and operations context.
Legal & Claims
Liability-adjacent wording, assurances, and exceptions need a traceable review and approval path.
The controlled proposal path stays narrow and reviewable.
A draft may be created, but the commit remains bound to roles, policy gates, and evidence.
- Intake
- Context Binding
- AI-Assisted Draft
- Policy Evaluation
- Multi-Role Review
- Approval
- Traceable Commit
- Audit Closure
Evidence Companion
Proof stays evidence-oriented and claim-bounded.
proof.uniterasystems.com can show examples of controlled evidence structures. Synthetic examples are not presented as live customer proof.
Claim Boundary
UNITERA does not claim automatic compliance. The platform provides structure, reviewable approval paths, approval evidence, and audit-oriented traceability for AI-assisted business commitments.
Map one real proposal commitment against the governance path.
The next step is concrete process mapping: where the draft is created, which policy applies, who reviews, who approves, and which evidence remains attached.