DOCUMENT OPS

RFP Compliance Matrix Builder with Coverage Check

Parses a Discord-submitted RFP into a compliance matrix in Airtable, then cross-checks each requirement against your past-proposal library to flag gaps.

CategoryDocument Ops
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Discord RFP attachmentDiscordDiscord
  • ActionAgent extracts and normalizes requirementsOpenAI
  • LogicMatch each requirement to prior answers, classify coverage
  • ActionWrite compliance matrix rows to AirtableAirtableAirtable
  • OutputPost gap summary to DiscordDiscordDiscord

What it does

Builds a full compliance matrix from an incoming RFP and tells you which requirements you can already answer from prior work versus which ones have no existing coverage. This is the agent-driven version that reasons across your proposal history.

When to use it

Use it when you respond to structured RFPs that demand a compliance matrix and you want to reuse boilerplate from past wins. Best when your team maintains a searchable library of prior answers and wants gaps surfaced before the kickoff meeting.

How it works

  1. 1An RFP document posted to Discord triggers the agent.
  2. 2The agent extracts every requirement and normalizes it into matrix rows: ID, requirement, section, and compliance type.
  3. 3For each requirement it searches your prior-proposal library to find a reusable answer and assesses coverage.
  4. 4Each row is written to Airtable with a coverage status of Covered, Partial, or Gap plus a link to the source answer when found.
  5. 5The agent posts a Discord summary highlighting the count of gaps that need net-new writing.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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