INVOICE PROCESSING

Duplicate Invoice Detection from Outlook with Teams Alerts

Catches duplicate vendor invoices as they arrive in Outlook by fingerprinting vendor, invoice number, and amount against Postgres history.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email in Outlook AP mailboxOutlook
  • ActionExtract vendor, number, amount, date with AIOpenAI
  • ActionCheck fingerprint against Postgres historyPostgreSQLPostgres
  • LogicBranch: new invoice or suspected duplicate?
  • ActionRecord new invoice in PostgresPostgreSQLPostgres
  • OutputAlert AP lead in Teams with both recordsMicrosoft Teams

What it does

Every invoice arriving in the Outlook mailbox is parsed and fingerprinted on vendor identity, invoice number, and amount. The flow checks that fingerprint against historical invoices in Postgres. Genuine new invoices pass straight through to the processing queue. Likely duplicates — same vendor and number, or same amount and date from the same supplier — are quarantined and the AP lead is pinged in Teams with both records side by side so they can confirm or release.

When to use it

Use this when vendors resend invoices, or when forwarded emails create double entries that risk paying the same bill twice. It is a focused control that sits in front of your main intake flow.

How it works

  1. 1A new Outlook email triggers the run.
  2. 2OpenAI extracts vendor, invoice number, amount, and date.
  3. 3The flow queries Postgres for any prior invoice with a matching fingerprint.
  4. 4A branch decides whether this is a new invoice or a suspected duplicate.
  5. 5New invoices are written to Postgres and queued normally.
  6. 6Suspected duplicates trigger a Teams alert to the AP lead with both records.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Connect Microsoft TeamsChannels, chats, files.
  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.

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