AI enabled requirement & RFP management

Goal: One source of truth for requirements and RFP answers
Role: Founder, Designer & Front-end Developer
Timeline: About 1 year (part-time)

Requirements shouldn't live in scattered docs and forgotten threads.

When a vendor questionnaire lands, teams scramble — digging through old RFPs, stale spreadsheets, and tribal knowledge. Rekwai keeps everything in one place, then helps you extract, reconcile, and answer with AI.

The tangled standard RFP process from kickoff calls and Slack threads to a final answer

Rekwai workflow: requirement building into a shared database, then RFP response drafted from that library

One source of truth

Every requirement lives in a shared product workspace — searchable, statused, and ready when the next questionnaire arrives.

Condor requirements table with status and type filters

Extract what matters

Upload documents and Rekwai surfaces the requirements inside them — with AI suggestions that help you understand what's new, what overlaps, and what needs attention.

Requirement extraction interface showing AI suggestions

Answer the questionnaire

When a questionnaire lands, Rekwai reads each question and drafts an answer from the requirements library — with the matching requirement and its source sitting beside the result.

Questionnaire answering workspace with drafted answers and linked sources

Merge without losing history

Related requirements are detected automatically. You can merge them into one clear record while keeping the full history of every source.

Toast confirming requirements were merged

Send the report

When the answers are ready, Rekwai builds a report you can send back to the client — quickly, and with the sources attached.

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