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Back to the business caseAI-generated new docs · Implementation
Generate a collection with separate evidence and review gates
Ten steps make the work visible from the development signal to publication. Source completion, technical certification, and editorial release decisions remain distinct.
Follow the process- Business goal
- Increase efficiency
- Business metric
- Docs ready at release
Carry the feature through ten production steps
Make documentation a release criterion, identify source and certification owners, and establish templates, rule checks, and a final publication gate.
The task in this example
Document the new bulk invoice editor for release 26.4.
- Step 1
Open the documentation ticket
Create work from the customer-facing feature change.
SystemThe development workflow records the required documentation and release milestone.
- Step 2
Supply sources
Collect the demo, designs, specification, and API changes.
Product or customer dataThe people building the feature supply authoritative behavior and limits.
- Step 3
Validate completeness
Apply the source rubric and resolve gaps.
Content teamGeneration waits for sufficient evidence rather than treating missing detail as a writing opportunity.
- Step 4
Generate topics and a map
Draft the required topic types and proposed collection.
ModelUse maintained templates and checked sources; preserve unanswered questions.
Content teamOwn the content models and structure rules the generator must follow.
- Step 5
Certify technical accuracy
The product expert reviews each topic.
PeopleRecord whether the content is accurate and complete, with substantive corrections returned for revision.
- Step 6
Check terms and style
Run maintained rule-based checks.
TaxonomyApproved terms and checkable style rules are data; violations produce reviewable findings.
- Step 7
Classify topics
Assign curated metadata.
TaxonomyReview suggested feature, edition, role, and release tags before retrieval or publication uses them.
- Step 8
Perform final documentation QA
Review the collection as a reader’s path.
PeopleCheck usability, consistency, omissions, and transitions; send technical gaps back to the expert.
- Step 9
Store valid source
Convert into the content system’s required structure.
Content teamPreserve metadata, IDs, and reuse rules.
SystemValidate the resulting source and record its version.
- Step 10
Place and publish
Fit topics into existing guides and release them.
PeopleA documentation professional decides placement and approves publication; the proposed map is not automatic authority.
This framework provides a practical baseline shaped by experience. Every organization operates under distinct technical and operational realities that require tailored design and governance. While you can adapt these measures independently, we frequently partner with teams to customize governance, integrations, and rollout. Performance outcomes will naturally vary.
Why these content layers matter
Intelligent content
Maintain source rubrics, topic models, templates, and source rules. Generated topics must meet the same structure and reuse requirements as existing content.
Taxonomy
Use approved terms and curated classification values for edition, role, release, and feature. Rule-based checks enforce checkable terms and style rules.
Verify the result and handle exceptions
Check source-rubric failures, certification records, rule results, metadata, builds, and the reader path through the published collection. Re-test feature questions after indexing.
Incomplete sources stop generation. Technical rejection returns to the source owner; final QA can return the collection for revision. Do not publish a structurally valid set while substantive questions remain.
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Support for this implementation
Connect source evidence, review, and publishing before scaling documentation generation.
What would make generated documentation ready for your release?
Intuitive Stack can help define source rubrics, content models, and review gates for a complete new-documentation workflow with your product and docs teams.