AI AGENTS
Front Negotiation Terms Extractor and Audit Log
Reads every inbound Front negotiation reply, extracts the proposed price, discount, term length, and conditions, and writes a structured audit row to Postgres for deal-desk…
How it runs
The automated pipeline, trigger to output.
- TriggerInbound message on Front negotiation threadFront
- LogicExtract price, discount, term, and conditions
- ActionCompare extracted ask to approved bandPostgres
- ActionWrite normalized terms row to audit tablePostgres
- OutputTag Front conversation with ask typeFront
What it does
This agent parses each inbound negotiation message in Front and pulls out the structured terms a prospect is proposing: target price, discount percent, contract length, payment terms, and any contingencies. It normalizes these into a clean row in Postgres so deal desk can report on what is actually being asked for across the pipeline.
When to use it
Use it when you need visibility into negotiation patterns, such as which discounts get requested most or where asks cluster against your guardrails. It turns freeform email back-and-forth into queryable data without changing how reps work.
How it works
- 1An inbound Front message on a negotiation conversation triggers the run.
- 2The agent extracts proposed price, discount, term, and conditions from the text.
- 3A branch checks each extracted ask against the approved band stored in Postgres.
- 4It writes a normalized terms row, including an in-band/out-of-band flag, to Postgres.
- 5It tags the Front conversation with the detected ask type for quick filtering.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 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 this workflow in your colony.
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