FINANCE

Quarterly Vendor Consolidation Brief with Agent Recommendations

On a quarterly schedule, pulls spend and usage signals, has an agent analyze category overlap and seat utilization.

CategoryFinance
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule
  • ActionPull spend and seat utilization from SnowflakeSnowflakeSnowflake
  • LogicGroup vendors by category and isolate overlaps
  • LogicAgent recommends keep vs retire per overlap
  • ActionWrite consolidation brief to CodaCodaCoda
  • OutputNotify finance lead in SlackSlack

What it does

This produces a decision-ready consolidation brief, not just a data dump. An agent pulls vendor spend from Snowflake and combines it with usage signals (seat counts, last-active data) to judge each overlapping category. For every set of redundant tools it recommends which vendor to keep and which to retire, explains the reasoning, and quantifies the annual savings. The finished brief is written to Coda for the finance lead to review and act on.

When to use it

Use this ahead of quarterly business reviews or renewal seasons when leadership wants a defensible recommendation on what to cut, with reasoning, rather than a raw overlap list.

How it works

  1. 1A quarterly schedule starts the run.
  2. 2The agent queries Snowflake for spend and seat-utilization data per vendor.
  3. 3It groups vendors by category and isolates the overlapping ones.
  4. 4For each overlap the agent weighs cost, utilization, and contract terms to pick a tool to keep and one to retire.
  5. 5It writes a structured recommendation brief with per-category savings to a Coda doc.
  6. 6A Slack note links the team to the finished brief.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect CodaDocs, packs, automations.
  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.

Run this workflow in your colony.

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