01
Understand the question
Identify the requirement, the evidence it needs, the customer context, and the right reviewer.
Applications / Proposal Intelligence
Stop answering the same question for the 40th time.
Every questionnaire answered from scratch costs expert time and model spend. Reuse approved answers and evidence while keeping the right reviewers in control.
- System
- Proposal intelligence
- Focus
- Resolve once. Reuse with evidence.
- State
- Evidence attached
- Output
- Reviewed answer
APP-520Evidence attached
Ship the questionnaire app. Keep its knowledge for every application that follows.
Proposal and questionnaire response was our first product. Enterprise teams run RFPs, RFIs, security questionnaires, and DDQs on the Brain today. It lives here as proof of the pattern, one workflow the Brain has already mastered, and as a fast first project if document response is the expensive workflow you want to prove.
The Brain supplies approved claims, source material, customer context, prior answers, and the person responsible for review.
Tribble reuses a current answer when it can, finds fresh evidence when it must, and sends uncertain or sensitive work to the right person.
02
Draft from evidence
Build responses from current approved facts while preserving the supporting sources.
03
Escalate the exceptions
Send uncertain, restricted, or new questions to the right company expert.
04
Keep the approved answer
Save reviewed answers, edits, and decisions so the company does not solve the same question again.
One approved response ends the 40th rewrite.
The question resolves to current evidence, the right reviewer, and a result the next questionnaire can reuse.
Question
Parse
Identify the requirement and expected evidence.
Brain
Assemble
Collect approved context and current sources.
Verify
Review
Apply evidence, confidence, and human approval rules.
Outcome
Reuse
Preserve the approved result for future work.
Bring your next RFP or security questionnaire. We will show how much of it is already answered.
In one working session, we map the current applications, model spend, repeated work, and the first result worth proving. You keep the map either way.