AI AGENTS

Inbound Renewal Quote Responder

Triggers when a vendor renewal quote lands in the inbox, extracts the proposed terms, compares them to the prior contract, and drafts a counter-offer reply.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRenewal quote email arrives in GmailGmailGmail
  • ActionExtract proposed terms and match the contract in NotionNotionNotion
  • LogicCompare quote to baseline and classify the increase
  • ActionDraft a counter-offer reply tuned to the classificationOpenAI
  • OutputSave the reply as a draft on the email threadGmailGmail

What it does

This agent reacts the moment a vendor sends a renewal quote. It reads the incoming email, pulls out the proposed price and term, compares them against what you paid last cycle, and drafts a reply that either accepts, pushes back, or asks for specific concessions based on the delta.

When to use it

Use it when vendors email renewal quotes that pile up unanswered and you end up accepting increases by default. Ideal for inboxes that receive a steady stream of renewal proposals and need a fast, consistent first response.

How it works

A Gmail trigger fires on messages matching a renewal-quote label or filter. The agent extracts the proposed terms from the email body and looks up the matching contract record in Notion to retrieve last cycle's price and any negotiated history. A logic step compares the new quote to the baseline and classifies it as acceptable, a moderate increase, or an aggressive hike. The model drafts a reply tuned to that classification, and the response is saved as a Gmail draft on the original thread while the quote and recommendation are logged to the contract page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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