Question and answer registry
Store normalized questions, approved answer components, owner, audience, product scope, effective date, evidence, and review status.
Use-case blueprint
Building an AI-assisted RFP and due-diligence response workflow
A use-case blueprint for retrieving approved answers, drafting cited responses, identifying stale evidence, and routing subject-matter review.
Firm profile
An asset manager responding to consultant databases, platform diligence, RFPs, DDQs, operational due diligence, and recurring client information requests.
Operating trigger
Response teams repeatedly search prior submissions and ask subject-matter experts for similar information, while approved answers, supporting evidence, and ownership change over time.
Systems in scope
The workflow crosses system boundaries.
Current state
What makes the workflow break down.
Prior answers are copied because they are easy to find, even when the underlying evidence has changed.
Response language and quantitative data are stored separately and can become inconsistent.
Subject-matter experts receive unstructured requests without the prior answer, source evidence, or required decision.
Review status and unresolved questions are tracked in email and spreadsheets.
Final responses do not consistently feed improvements back into the approved library.
Solution architecture
A controlled operating design.
Evidence-grounded drafting
Retrieve relevant approved components and current structured data, then produce a draft with source links and visible uncertainty.
Risk-based routing
Route changed data, stale evidence, new questions, conflicts, and sensitive topics to the appropriate subject-matter owner.
Closed-loop approval
Capture final approved responses and reviewer decisions as versioned knowledge rather than leaving them in the submitted file.
Implementation sequence
Prove the workflow before expanding it.
Analyze completed responses
Identify recurring question families, answer components, owners, source evidence, quantitative fields, and high-risk topics.
Build the registry
Separate reusable approved language from request-specific drafting and establish expiration or review rules.
Evaluate retrieval and drafts
Test exact, paraphrased, multi-part, ambiguous, conflicting, and unsupported questions.
Integrate the review workspace
Provide assignment, deadlines, evidence, comparison, comments, approval, and export in one controlled flow.
Controls
What keeps the workflow dependable.
- Citations to current evidence and structured values
- Effective dates and mandatory review intervals
- Named subject-matter and compliance approval
- No unsupported completion of missing answers
- Version and decision history for every submitted response
Target state
What changes after implementation.
- Writers begin from relevant approved components and current evidence rather than searching prior files.
- Experts receive focused exceptions with the proposed answer and supporting context.
- Reviewers can identify what changed from the approved baseline.
- Final decisions improve the governed answer library for the next response.
Measurement
Metrics to baseline and track.
Time from intake to first complete draft
Percentage of questions answered from current approved components
Material corrections during expert or compliance review
Stale or unsupported answers detected before submission
Subject-matter expert time per response
Evidence note
AI can retrieve, compare, and draft, but the firm’s authorized reviewers remain responsible for the accuracy, completeness, approval, and submission of every response.
Have a version of this workflow inside your firm?
We can map the current state, identify a credible first release, and define the controls and measures required to operate it.
Discuss this use case