AI AGENTS

Front Stalled-Negotiation Nightly Nudge Drafter

Runs each evening to find Front negotiation threads that have gone quiet past your follow-up window and drafts a guardrail-safe nudge reply with a gentle final offer.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule fires
  • ActionList open Front negotiation conversationsFront
  • LogicFilter to threads quiet past follow-up window
  • ActionRead last offer and approved bandPostgreSQLPostgres
  • ActionDraft within-ceiling nudge replies in FrontFront
  • OutputPost drafted-nudge digest to sales SlackSlack

What it does

On a nightly schedule this agent scans open Front negotiation conversations, finds the ones with no prospect reply past a set follow-up window, and drafts a polite nudge for each. The nudge can restate the standing offer or extend a small concession that still sits inside your approved ceiling.

When to use it

Use it to keep stalled deals warm without a rep manually combing the inbox. It surfaces silent threads and pre-writes the follow-up so the morning starts with reviewed drafts instead of a cold pipeline.

How it works

  1. 1A nightly schedule triggers the run.
  2. 2The agent lists open Front conversations tagged as active negotiations.
  3. 3A filter keeps only threads with no inbound reply past the follow-up window.
  4. 4For each, it reads the last offer and the approved discount band from Postgres.
  5. 5It drafts a nudge in Front that restates value or extends a within-ceiling concession.
  6. 6It posts a digest of the drafted nudges to the sales Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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