An AI proposal generator assembles a draft commercial proposal from governed customer, product, pricing and template data. It can shorten document preparation, but it does not replace price approval, legal review or verification of the proposed scope.
What information should it use?
- Approved customer and opportunity records
- Configured products, quantities and service scope
- Current prices, discounts, currency and taxes
- Approved clauses, case studies and templates
- Commercial assumptions and validity dates
How does the workflow operate?
- Select the opportunity and approved proposal template.
- Retrieve authoritative commercial and customer data.
- Generate the draft narrative, scope and pricing presentation.
- Validate required sections and flag unsupported statements.
- Route the proposal through commercial and legal approval.
- Issue a versioned final document and retain its source record.
AI proposal generator vs. CPQ
Configure, Price, Quote (CPQ) determines valid configurations and commercial calculations. An AI proposal generator turns approved inputs into a customer-facing draft. The generator should consume governed CPQ outputs rather than recalculate prices in narrative text.
What should a reviewer verify?
Check the customer name, scope, units, totals, currency, tax treatment, exclusions, dates and contractual language. Confirm that generated claims are supported and that the final proposal matches the approved quotation.
