RFP response drafting
Most of an RFP has been answered before. The agent finds where, drafts each section from the submissions you already won, and marks what it could not source - so reviewers spend their hours on the answers that are new.
The brief
Written like you’d brief a person.
This is the whole setup - a procedure in plain language, with tools and specialist agents referenced inline. When it runs is not written here: that’s the trigger, configured beside it.
Read the RFP from the email with #yekar.gmail.get-attachment, find the closest past submissions with #yekar.google-drive.search and the approved answers in the knowledge base, start the response from the template with #yekar.google-drive.copy-from-template, write each section with #yekar.google-docs.append citing the source it came from, flag every requirement the library does not cover, and notify the bid owner with #yekar.slack.send-message.
How it runs
From trigger to logged outcome.
Trigger
Event - An RFP arrives in the bids inbox
A bid owner can also start one from chat with the document attached.
Parse the requirements
Breaks the RFP into the questions that need an answer.
Find the precedents
Locates the past submissions and approved answers that fit each one.
Draft each section
Writes the answer from the precedent, with its source marked.
Mark the gaps
Requirements the library cannot support are flagged, never invented.
Hand to review
The draft lands in the bids folder with the bid owner notified.
Where people stay in control
Nothing consequential runs on its own.
- Nothing is submitted by the agent - the response is a draft in your drive until the bid owner signs it off.
- Claims the library does not support are flagged, never invented.
Tools it uses
Runs on accounts you already have.
Gmail
- Knowledge base
Google Drive
Google Docs
Slack
Connected once, governed per agent - this use case gets only the tools listed here.
Illustrative savings
$1,000–$2,800 / month
Assumes 3–8 RFPs a month at 10–20 hours of first-draft assembly each, with review time unchanged.
Illustrative monthly savings, estimated from typical handling time at public salary benchmarks, reviewed August 2026. Not a promise or a guarantee - your numbers depend on volume and process.
What makes this dependable
Start with the job
See how Yekar.AI would run one of your real processes.
Bring the job, the systems it touches, and the decisions that need a person.