Automatically flag suspicious transactions for compliance review

It reviews every pending transaction, scores its fraud risk with AI, and flags high-risk ones for compliance review.

How the work actually flows

It branches. Exactly one path is taken; runs once per each high-risk transaction.

Pattern: Exclusive Choice (4) · Simple Merge (5) · Multiple Instances without Synchronization (12)

flowchart TD trig(["scheduled compliance check"]):::trigtime s0[("pull pending transactions")]:::store s1["classify risk level"]:::task s2[["investigate flagged transactions"]]:::mi s3[("update transaction record")]:::store trig --> s0 s0 --> s1 s2 --> s3 gx{"× risk level assigned"}:::gate s1 --> gx p00["route to specialist agents"]:::task gx -->|"high risk"| p00 p10["skip investigation"]:::task gx -->|"medium or low risk"| p10 jn{"○ merge results"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"transactions scored and flagged"/]:::out pay{{"consistent audit-ready fraud screening"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsSpreadsheet & Database OpsFinance & AccountingSecurity & Compliance
Connects
OpenAIAirtable

The problem it solves

Manually reviewing every transaction for fraud and compliance risk is slow, and by the time your team catches a problem, it may already be too late. High transaction volumes make it impossible to give each one the attention it needs. Regulators expect a documented, consistent review process, not spot checks.

Who it fits

Compliance officers and fraud analysts at fintech or financial services companies handling high transaction volumes.

How it works

  1. On a schedule, the automation pulls pending transactions from Airtable.
  2. AI classifies each transaction's risk level as high, medium, or low.
  3. High-risk transactions are routed to specialist AI agents for investigation, risk scoring, and reporting.
  4. Results are merged and the transaction record is updated automatically.
What you get

Fraud losses you catch before they happen

Get every risky transaction flagged and scored automatically so your compliance team knows where to look.

What you get

Audit-ready compliance records in Airtable, with each transaction scored, investigated, and reported on.

What you need

An OpenAI account and an Airtable account with a configured transactions base.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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