Prep an anti-money-laundering alert review with every source linked: AI agent prompt

Have an agent pull together the evidence for a suspicious-activity alert, compare it to what is normal for that customer, and draft the case summary so the analyst only has to decide. FIS made its AML Investigations Agent, built with Anthropic, available to US banks; at design partner Amalgamated Bank it is projected to cut first-level alert review time by more than 90% and SAR narrative prep by more than 80%, and no case can be closed without an analyst confirming it.

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Legal & ComplianceAML investigationsadvanced

The prompt

You are helping me, a compliance analyst, prepare a review of one transaction-monitoring alert. Customer profile: [customer type, business or occupation, how long they've banked with us, normal monthly activity]. Alert: [alert type, date, rule that fired]. Transactions: [paste the flagged transactions plus the last [3/6] months for comparison]. Step 1: describe what is normal for this customer and how the flagged activity differs, e.g. a seasonal cash spike versus deposits kept just under reporting thresholds. Step 2: list every fact you rely on with the exact transaction or document it came from. Step 3: list the red flags and the innocent explanations side by side. Step 4: suggest one of: close with rationale, escalate for deeper review, or consider a SAR, and draft a short neutral narrative. Use only the data I gave you, mark anything missing as 'needs info', and remember the final decision is mine.

Open in ChatGPT Open in Claude Perplexity Download as agent skill (SKILL.md)

How to use it

Copy the prompt above.
Replace every [bracket] with your own details (or fill in the blanks on AgentPlaybook Real Estate, which remembers your answers for the next prompt).
Paste it into Claude, ChatGPT, FIS AML Investigations Agent and review the answer before you use it.

Works with: Claude, ChatGPT, FIS AML Investigations Agent

Real-world example: investor.fisglobal.com/news-releases/news-release-details/fis-aml-inve

Featured in: AI prompts to summarize meetings, notes, documents and reports

Before you use it: what to check

Check yourself

Check every figure, price and total against your own records before anything is sent, posted or booked. A person approves refunds, discounts, payments and price changes.
Anything legal, tax or compliance-related is a first draft for a qualified person to check. It is not professional advice, and clause references and deadlines must be checked against the source.
Remove names, contact details, account numbers and other personal data the task doesn't need before you paste, and check your AI tool's data and training settings.
Check names, dates, numbers and any claim against your own source material before you use the answer. AI can misread or invent details.

Using an AI agent? Download this prompt as a SKILL.md agent skill with these checks built in, or get the .zip for Claude.ai. How to install skills.

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<blockquote style="border:1px solid #e4e4ee;border-left:4px solid #5b3fd9;border-radius:10px;padding:14px 16px;margin:16px 0;font-family:system-ui,sans-serif;max-width:640px"><p style="margin:0 0 6px;font-weight:700">Prep an anti-money-laundering alert review with every source linked</p><p style="margin:0 0 10px;color:#5c6078;font-size:14px">Have an agent pull together the evidence for a suspicious-activity alert, compare it to what is normal for that customer, and draft the case summary so the analyst only has to decide. FIS made its AML Investigations Agent, built with Anthropic, available to US banks; at design partner Amalgamated Bank it is projected to cut first-level alert review time by more than 90% and SAR narrative prep by more than 80%, and no case can be closed without an analyst confirming it.</p><a href="https://agentic-library.netlify.app/prompt/al-182-prep-an-anti-money-laundering-alert-review-with-every-source/?utm_source=embed&amp;utm_medium=referral&amp;utm_campaign=prompt_embed" style="color:#5b3fd9;font-weight:600">Get the free AI prompt on AgentPlaybook Real Estate →</a></blockquote>

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