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.
How it runs
The automated pipeline, trigger to output.
- TriggerQuarterly schedule
- ActionPull spend and seat utilization from SnowflakeSnowflake
- LogicGroup vendors by category and isolate overlaps
- LogicAgent recommends keep vs retire per overlap
- ActionWrite consolidation brief to CodaCoda
- 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
- 1A quarterly schedule starts the run.
- 2The agent queries Snowflake for spend and seat-utilization data per vendor.
- 3It groups vendors by category and isolates the overlapping ones.
- 4For each overlap the agent weighs cost, utilization, and contract terms to pick a tool to keep and one to retire.
- 5It writes a structured recommendation brief with per-category savings to a Coda doc.
- 6A Slack note links the team to the finished brief.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect CodaDocs, packs, automations.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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.
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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.
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