Most fraud professionals still rely on gut instinct and internal anecdotes to assess risk.
This prompt gives you something better: a repeatable way to generate a strategic, executive-ready risk memo using AI.

It’s not magic. It’s structured thinking, made scalable.

Here’s how to use it.What This Prompt Is For

This prompt acts like a senior fraud strategist who’s spent the last decade mapping risk across fintechs, marketplaces, e-commerce, SaaS, and UGC platforms. It’s designed to generate a cross-functional fraud and risk strategy memo that’s grounded in business reality—not generic playbooks.

The output is structured, clean, and built for executive alignment. If you’ve ever had to justify new tooling, argue for roadmap prioritization, or explain why fraud matters beyond your team—this prompt is your shortcut.

When to Use It

This isn’t something you run once. It’s a tool you can return to at every major inflection point:

  • You’re new in role and need to quickly map risk and influence priorities.

  • Your team is preparing a QBR, board update, or cross-functional strategy session.

  • You’re scoping new tools or vendors and need a clear understanding of what you’re solving.

  • A product, feature, or payment method is about to launch—and you want to avoid playing catch-up on risk.

  • You’re trying to align fraud with business outcomes and move beyond isolated metrics.

    How the Prompt Works

    The prompt gives GPT (or Claude, or whatever AI tool you use) a senior-level perspective and a clear deliverable. But the power is in the inputs.

    Here’s the structure:

    The Setup

    You assign the AI the role of a senior risk strategist with deep experience across relevant business models and threat types. You define the audience (CEO, Product, Ops) and goal: to influence roadmap decisions and investment priorities.

    The Context Inputs

    You fill in a few key pieces:

    • Company Overview
      What the company does, who the users are, and what value it creates.

    • Core Workflows or Customer Journeys
      Where value is created, exchanged, or protected.

    • Monetization Model & Key Assets at Risk
      Subscriptions, UGC, payments, reviews, data, trust signals—what’s valuable and vulnerable.

    • Known Incidents or Vulnerabilities (optional)
      Past fraud types, recurring issues, insider concerns.

    • Regulatory or Reputational Considerations (optional)
      Sensitive segments, geographic exposure, regulatory regimes, public trust factors.

    The Output Structure

    The output is divided into four sections:

    1. Risk Surface Map by Journey Stage
      A table that outlines each customer or operational stage (onboarding, usage, payouts, etc.), along with:

      • Key abuse vectors

      • Threat actors

      • Motivations

      • Signals to monitor

      • Gaps or weak controls

      • Business impact
        This section alone can replace hours of brainstorming and whiteboarding.

    2. Prioritized Risk Areas
      The top 3–5 most critical risks, with:

      • Why they matter now

      • What happens if ignored

      • Suggested mitigation levers (policy, product, detection, org, tooling)

    3. Strategic Recommendations
      Grouped by effort and impact:

      • Quick wins

      • Strategic investments

      • Missing foundations
        It forces AI to think across policy, operations, product, and tech—not just detection.

    4. Emerging Risk Trends
      What’s coming next, even if your team isn’t tracking it yet:

      • Fraud-as-a-service

      • AI misuse

      • Regulatory shifts

      • New attacker incentives

    What You Get Out of It

    This prompt gives you more than a list of risks. It gives you a strategic artifact.

    You can plug the output into:

    • Internal decks for funding or prioritization

    • Working sessions with Product and Ops

    • Vendor scoping conversations

    • Roadmap planning cycles

    • Onboarding docs for new hires or execs

    It saves hours, improves clarity, and makes you look like the most prepared person in the room.

For fraud professionals, it’s a multiplier.
It helps you operate at the strategic level without needing a 10-person team or 4-week planning sprint.

Use this prompt. Customize it.
Make it part of your fraud leadership toolkit.

You are a senior risk strategist with 10+ years of experience identifying and prioritizing risk surface areas across e-commerce, fintech, SaaS, marketplaces, and UGC platforms. You specialize in uncovering business-critical blind spots related to fraud, abuse, operational risk, and trust & safety vulnerabilities.

You’ve been hired to prepare a strategic internal risk memo for [COMPANY NAME], a [short company description], that will be presented to the CEO, Head of Product, and Ops leaders.
The goal is to guide roadmap decisions and investment priorities for the next 6–12 months.

Context Inputs (Fill in before running):
Company Overview:
[What does the company do? Who are the users/customers?]
Core Workflows or Customer Journeys:
[How does value get created, exchanged, or protected?]
Monetization Model & Key Assets at Risk:
[Subscriptions, payments, user-generated content, trust mechanisms, etc.]
Known Incidents or Vulnerabilities:
[Optional — past attacks, recurring issues, internal concerns]
Regulatory or Reputational Considerations:
[Optional — sensitive user segments, data handling risk, compliance pressure]

Output Instructions
Based on the context above, return a structured, executive-level risk assessment broken into the following four sections:

1. Risk Surface Map by Journey Stage
Break down the business into key user or operational stages (e.g., onboarding, payments, deposits, withdrawals, platform usage, content moderation, etc).
Present the risks in a structured table with the following columns:
| Journey Stage | Key Abuse Vectors | Threat Actors | Motivations | Signals to Monitor | Gaps or Weak Controls | Business Impact |
Each row should correspond to one specific stage of the customer or product journey.
Use bullets within cells as needed for clarity, but keep the table concise and strategic.
Prioritize real-world risk patterns and business relevance.

2. Prioritized Risk Areas
List the top 3–5 cross-cutting risks that pose the greatest threat to revenue, reputation, operations, or legal exposure. For each:
Why it matters now
What happens if ignored
Suggested mitigation levers (policy, detection, product, team, tools)

3. Strategic Recommendations
Organize actionable recommendations into:
Quick Wins: Low effort, high ROI
Strategic Investments: Medium- to long-term bets
Missing Foundations: Core capabilities or data needed to execute well
Include recommendations across product, policy, technical, operational, or org structure areas.

4. Emerging Risk Trends
Identify future risks the company may not be tracking yet:
Likely attacker adaptations
New incentive structures (e.g., fraud-as-a-service, AI misuse)
External factors (regulatory shifts, LLM abuse, payment trends)

Formatting Guidelines:
Use bold section headers and clean formatting
Structure responses like an internal strategy document, not a chat message
Avoid vague language — be specific about behaviors, signals, and controls
Write for a cross-functional executive audience