INVOICE PROCESSING

Build GL-coding rules for a new vendor with the CEO agent

An agent-driven workflow that researches a newly-added vendor, drafts a default GL-coding rule for its typical line items, validates it against your chart of accounts.

CategoryInvoice Processing
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew vendor added in AirtableAirtableAirtable
  • ActionResearch vendor category and billingBraveBrave Search
  • ActionDraft and validate GL-coding ruleOpenAI
  • LogicHold rules referencing unknown accounts
  • OutputFile proposed rule in Notion for sign-offNotionNotion

What it does

When a new vendor is added, the CEO agent figures out what the vendor sells, proposes a default GL-coding rule for its common line items, and documents it so future invoices code consistently from day one.

When to use it

Use it when onboarding vendors and you want coding standards defined up front instead of reverse-engineered after the first messy invoice. Best for finance teams standardizing a growing vendor list.

How it works

  1. 1A new vendor record in Airtable triggers the agent.
  2. 2The agent researches the vendor's category and typical billing using web search.
  3. 3It drafts a GL-coding rule mapping likely line-item types to accounts, then validates each against your chart of accounts.
  4. 4A logic step holds rules that reference unknown accounts for human definition.
  5. 5The agent writes the proposed rule, rationale, and any open questions to a Notion page routed to finance for sign-off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect NotionPages, databases, comments.
  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.

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