INVOICE PROCESSING

CFO Discount-vs-Cash ROI Decision Agent

An agent evaluates each discount-eligible invoice against your cost of capital and current cash position, recommends whether taking the early-payment discount beats holding cash.

CategoryInvoice Processing
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew discount-eligible invoice in AirtableAirtableAirtable
  • ActionLoad terms, cost of capital, and cash positionAirtableAirtable
  • ActionCompute annualized yield and cash impact with the agentOpenAI
  • LogicClassify as Take, Defer, or Borderline
  • OutputPost reasoned recommendation to Microsoft TeamsMicrosoft Teams

What it does

Not every early-payment discount is worth taking when cash is tight or capital is expensive. This agent computes the annualized return of each discount (e.g. 2/10 net 30 implies roughly a 36% annualized yield), compares it to your hurdle rate and available cash, and produces a recommendation with the math shown.

When to use it

Use it when discount decisions are non-trivial — large invoice amounts, constrained cash, or a finance lead who wants the reasoning rather than a blind pay button. It complements the detector by adding a judgment layer before approval.

How it works

  1. 1A new discount-eligible invoice lands in the Airtable register and triggers the flow.
  2. 2The agent pulls the invoice terms plus the configured cost-of-capital and cash-on-hand inputs.
  3. 3It calculates the annualized discount yield and the cash impact of paying early.
  4. 4A logic gate classifies the result as Take, Defer, or Borderline.
  5. 5The agent drafts a short rationale brief with the numbers.
  6. 6The recommendation and brief are posted to Microsoft Teams for the CFO to confirm.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Microsoft TeamsChannels, chats, files.
  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.

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