AI AGENTS
Quote Comparison Builder: Assemble a Bid Comparison and Recommend a Winner
On a schedule, gathers all received quotes for each open RFQ, normalizes pricing to a common basis, builds a side-by-side comparison in Coda.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule
- LogicSelect RFQs with 2+ quotes
- ActionAgent normalizes and compares quotes
- ActionWrite comparison and recommendation to CodaCoda
- OutputSend bid comparison to approver in SlackSlack
What it does
This agent runs daily, finds RFQs that have collected two or more quotes, normalizes each quote to a comparable unit and total-cost-of-ownership basis (price, lead time, terms), assembles a side-by-side comparison table in Coda, and writes a recommended award with reasoning.
When to use it
Use it when quotes are coming in across many RFQs and buyers need an apples-to-apples bid tab plus a defensible recommendation rather than eyeballing scattered emails. The scheduled cadence keeps comparisons current as new quotes land.
How it works
- 1A daily schedule fires (trigger).
- 2A logic step selects RFQs with enough quotes to compare and skips those still awaiting bids.
- 3The agent normalizes pricing, lead times, and terms to a common basis per RFQ.
- 4It writes a structured comparison and a recommended vendor with rationale to Coda.
- 5The bid comparison summary, with the recommendation, is sent to the buyer and approver in Slack for the award decision.
Set it up
What you configure once, before turning it on.
- 1Connect CodaDocs, packs, automations.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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