FINANCE

Agentic triage of anomalous card spend with on-call escalation

An agent investigates card charges that look anomalous — duplicates, spikes, or new high-risk merchants — gathers context, decides severity, and escalates genuine fraud risks…

CategoryFinance
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAnomalous card charge detectedStripeStripe
  • ActionAgent gathers cardholder and duplicate-charge contextStripeStripe
  • LogicAgent classifies severity: error, policy, or fraud
  • LogicBranch fraud-risk from benign anomalies
  • ActionPage on-call finance for fraud riskPagerDutyPagerDuty
  • OutputLog investigation and verdict to PostgresPostgreSQLPostgres

What it does

When a card charge trips an anomaly signal, an agent investigates it: pulls the cardholder's recent history, checks for duplicate charges, compares the amount to that cardholder's baseline, and researches the merchant. It reasons about whether the charge is a likely error, policy issue, or fraud, then routes accordingly — paging on-call finance for true fraud risk and logging lower-severity findings to Postgres.

When to use it

Use it when simple threshold rules produce too many false alarms and you want judgment applied before anyone gets paged.

How it works

  1. 1A Stripe webhook delivers a charge that tripped an anomaly threshold.
  2. 2The agent gathers cardholder history and duplicate-charge context from Stripe.
  3. 3The agent researches the merchant and reasons about a severity classification.
  4. 4A logic branch separates fraud-risk from benign anomalies.
  5. 5An action pages on-call via PagerDuty for fraud risk.
  6. 6The full investigation and verdict are written to Postgres as the audit output.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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.

Run this workflow in your colony.

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