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.
How it runs
The automated pipeline, trigger to output.
- TriggerRenewal quote email arrives in GmailGmail
- ActionExtract proposed terms and match the contract in NotionNotion
- 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 threadGmail
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.
- 1Connect GmailRead, draft, send, label.
- 2Connect NotionPages, databases, comments.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
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.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
