AI document generation creates a draft business document from approved data, templates and instructions. In commercial workflows it can assemble quotations, proposals, summaries or supplier communications. Generation should not be confused with approval: the source data, terms and authority still require control.
What inputs should drive generation?
- Approved customer, supplier and product records
- Pricing, currency and tax data
- Current template and clause library
- Scope, assumptions and required output format
- User role, approval status and permitted destinations
How should the workflow operate?
The system retrieves approved inputs, generates the draft, validates required fields and flags unsupported or missing content. A responsible user reviews material terms before the document is issued, and the final version is stored with its source references and approvals.
Generation vs. templating
A template inserts values into predetermined locations. AI generation can select, summarize or compose content based on context. That flexibility creates more review needs because the output can omit, reinterpret or invent text if its instructions and sources are weak.
What should be controlled?
Lock authoritative prices and legal terms to governed sources, identify generated drafts, restrict external sending, and retain the inputs and version used. Do not let fluent language substitute for evidence that the amount, scope and obligation are correct.
