AI AGENTS

Market-Benchmarked Renewal Negotiator

Before each renewal, researches current market pricing for the vendor's category and drafts a counter-offer grounded in benchmark evidence, posted to Slack for review.

CategoryAI Agents
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled scan of the renewals trackerNotionNotion
  • ActionResearch market pricing and alternativesPerplexityPerplexity
  • ActionDraft a benchmark-grounded counter-offerOpenAI
  • ActionAttach the benchmark summary to the contract recordNotionNotion
  • OutputPost the draft and sources to Slack for reviewSlack

What it does

This agent strengthens every counter-offer with outside evidence. Ahead of a renewal, it researches what comparable tools or services cost in the open market, then drafts a negotiation ask that cites those benchmarks so your pushback is backed by data rather than a guess.

When to use it

Use it when vendors hold pricing power and a generic counter-offer gets ignored. Best for renewals of competitive, commoditized categories where public pricing and alternatives give you real leverage to quote.

How it works

A scheduled scan reads the renewals tracker and selects contracts entering the notice window. For each, a web research step gathers current market pricing and named alternatives for the vendor's category. The agent combines that research with the contract's stored terms and drafts a benchmark-grounded counter-offer, including the comparable prices it found and a credible walk-away alternative. The draft, with its sources, is posted to Slack for the owner to review, and the benchmark summary is attached to the contract record in Notion for the negotiation file.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.