A BRD written by AI from thin air is template-filling theater: every section populated, nothing actually decided. This playbook assembles the document from a synthesized evidence pack instead — AI fills structure from cited findings, while you hand-write the three sections that are the actual analysis: problem statement, scope boundaries and assumptions.
Workflow area: Requirements Quality · Tier: Core · Hands-on time: ~40 minutes
The dangerous thing about AI-drafted BRDs is that they look finished. A model given a template and a project name will produce fluent sections, plausible objectives and generic assumptions — a document that passes a skim and fails its first hard question. The fix is sequencing: the BRD comes last, after elicitation synthesis (pb-01), document mining (pb-15) and coverage checks (pb-16) have produced an evidence pack of cited findings. Then AI does what it is genuinely good at — organizing evidenced content into your org's template, consistently, with traceability — and you do what the document actually exists for: deciding what problem this is, what is in and out, and what you are assuming. Those sections are the analysis; delegating them is delegating the job.
Stage the inputs. Three things: your org's BRD template (headings and section guidance), the evidence pack (themed findings with citations, candidate requirements with sources, stakeholder analysis, glossary), and your hand-written core — problem statement, scope in/out, assumptions, constraints. Write that core first, before the model touches anything; it is the spine everything else hangs on.
Run the assembly with a strict role. In Claude (a Project holding the evidence pack works best) prompt:
You are assembling a BRD from evidenced findings. You organize
and format — you do NOT invent content.
Template: [PASTE HEADINGS + SECTION GUIDANCE]
Hand-written core (use VERBATIM, do not edit): problem statement,
scope, assumptions: [PASTE]
Rules:
1. Populate each template section ONLY from the evidence pack.
Every requirement and finding keeps its citation [source, ref].
2. Insert my hand-written sections verbatim where the template
calls for them.
3. If the evidence pack has nothing for a section, write
"[GAP — no evidence collected]" — do not fill it generically.
4. Where evidence is thin (single source), tag the item [THIN].
5. Number requirements BR-001... and keep one requirement per
statement — split compounds.
6. End with an ASSEMBLY REPORT: which sections are complete,
which have gaps, which items are [THIN], and any evidence that
fit nowhere in the template.
Evidence pack:
[PASTE OR REFERENCE PROJECT FILES]
Read the assembly report before the document. Good output ends like this:
ASSEMBLY REPORT
- Complete: Objectives (6 items, all cited), Process Impact,
Stakeholders, Requirements (BR-001..BR-034)
- [GAP — no evidence collected]: §7 Reporting Requirements,
§9 Training Needs
- [THIN]: BR-019 (single mention, S3 IT walkthrough 41:20),
BR-027 (one clause, MSA §11.2)
- Unplaced evidence: finance headcount constraint (S2, 12:44)
— no template section fits; suggest Assumptions or Constraints
The report is the point: gaps become elicitation follow-ups (feed them to pb-16's loop), thin items get corroboration or a caveat, and unplaced evidence usually means the template — or your scope — has a hole.
Do the analyst pass. Read the assembled draft end to end once, aloud if you can bear it. You are hunting for three things: requirements whose citation does not actually support them, section prose that drifted beyond the evidence, and your hand-written core mangled by "helpful" edits. Then run the quality tooling: ambiguity lint (pb-19) and contradiction sweep (pb-20) before anyone else sees the draft.
Baseline with the gaps visible. Circulate for review with the assembly report attached and [GAP]/[THIN] tags intact. Reviewers who can see what is missing critique the substance; reviewers shown false completeness critique the font. After sign-off, the tags come out and the document is baselined with its traceability to the evidence pack preserved.
An evidence pack concentrates stakeholder quotes, contract clauses and commercial context — assemble only in your organization's approved AI workspace, and check that the finished BRD does not quote confidential source material beyond what its circulation list is cleared to see.
AI assembles the document; it does not do the analysis — a BRD is trustworthy when its structure came from the template, its content came from cited evidence, and its problem, scope and assumptions came from you.