FINANCE
Duplicate Vendor Consolidation Finder
Monthly, it groups BigQuery spend across overlapping vendor categories, identifies fragmented spend that could be consolidated to one supplier.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule starts the analysis
- ActionAggregate spend by category and vendorBigQuery
- LogicFlag fragmented categories over threshold
- ActionEstimate consolidation savings per categoryOpenAI
- ActionAppend opportunities to savings registerCoda
- OutputNotify finance of new register entriesSlack
What it does
This workflow mines BigQuery spend data to find categories where money is split across several redundant vendors, calculates the volume-discount upside of consolidating to one, and logs each opportunity in a Coda savings register. It turns scattered line items into a ranked list of consolidation plays.
When to use it
Use it during quarterly cost-savings pushes or whenever finance suspects spend is fragmented across too many overlapping suppliers. It answers a question raw dashboards rarely surface: where would buying from fewer vendors actually save money.
How it works
- 1A monthly schedule starts the run.
- 2BigQuery aggregates spend by category and vendor across the trailing year.
- 3A logic step flags categories where spend is split across multiple vendors above a fragmentation threshold.
- 4OpenAI estimates the consolidation savings and drafts a recommendation per opportunity.
- 5Coda appends each opportunity to the savings register with category, vendors, current spend, and projected savings.
- 6Slack notifies finance that the register has new entries.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect CodaDocs, packs, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Finance workflows
Month-End Uncoded Spend Chaser via Snowflake to Slack
On a month-end schedule, queries Snowflake for unaccrued or uncoded expenses, groups them by department owner.
Receipt Upload OCR Policy Check with Manager Escalation
When an employee drops a receipt into a Drive folder, it extracts the line items, checks them against expense policy.
Weekly Proration Anomaly Audit to Notion
Each week it aggregates all flagged proration discrepancies from Snowflake, scores them against anomaly thresholds, and publishes a finance-ready audit page in Notion with totals.
Accrual Chase Board in Monday with Per-Owner Tasks
On a schedule it reads open uncoded expenses from Snowflake and creates or updates a Monday item per department owner.
Detect Mid-Cycle Plan Change Mischarges and Queue Credit Memos
Listens for Stripe subscription plan changes, recomputes the correct prorated amount.
Draft and Send Proration Over-Billing Correction Emails
For each confirmed over-billing credit, an agent drafts a clear, customer-specific apology email explaining the proration error and the credit applied.
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.