Most fraud RFPs fail in the same way. They’re a list of features dressed up as a document. “Do you have machine learning? Real-time alerts? A dashboard?” Every vendor answers yes to everything, the responses come back looking identical, and you end up choosing on the strength of a sales demo instead of the strength of the solution.

A good fraud RFP does the opposite. It forces vendors to prove things, it ties every requirement to a business outcome you actually care about, and it leaves you with a scorecard you can defend to your CFO. It’s less a questionnaire and more a recipe: follow the steps in order, and you end up with the right partner instead of the loudest one.

Before you start: gather your ingredients

Two things to line up before you write a word.

First, the people. A fraud RFP is never just a security project. Pull in finance (they own the loss numbers), marketing and sales (they own conversion), operations (they own the day-to-day workflow), and IT (they own the integration). You want their input now, not after you’ve shipped a document that ignores half of them.

Second, the data. Get your last 12 months of numbers in one place: chargeback rate and total chargeback cost, decline rate, approval rate, checkout abandonment, average order value, monthly transaction volume, and how many hours your team spends on manual review. You can’t ask vendors to improve numbers you haven’t measured.

Step 1: Get your stakeholders to agree on what “winning” means

Here’s the part most teams skip, and it’s why so many RFPs come out generic. The people in the room want different, sometimes opposing things.

• Finance wants fraud losses down and the price low.
• Marketing and sales want maximum conversion, which means they hate anything that blocks a real customer.
• Operations wants a process that’s streamlined and doesn’t add manual work.
• IT wants the lightest possible integration effort.

These pull against each other. Clamp down hard on fraud and you decline more good customers. Optimize purely for conversion and you accept more fraud. There’s no setting that wins on all dimensions at once.

Your job in Step 1 isn’t to resolve the tension. It’s to name it, and to get everyone to agree on the order of priorities before you go to vendors. That order will drive every decision that follows, from how you write requirements to how you score responses. Write it down and get sign-off across the room before you move on.

Step 2: Turn priorities into weighted KPIs

Now make those priorities measurable. For a fraud system, the core KPIs are:

• Chargeback rate — the fraud losses you want to stop. (Finance’s number.)
• False decline rate — the legitimate customers you turn away by mistake. Industry-wide, roughly 80% of declined transactions are good customers, so the cost of this is usually bigger than the fraud itself.
• Approval / authorization rate — the revenue you unlock by approving with confidence.
• Checkout abandonment — shoppers who hit friction at payment and never come back.
• Manual review rate and cost — how much human labor the system demands.

Assign each KPI a weight that reflects the priority order you agreed on in Step 1. If false declines are your real bleed, weight them heavily. Those weights will drive your scoring later, so this is where the stakeholder negotiation gets settled on paper, which is far cheaper than settling it after you’ve signed a contract.

Step 3: Write the problem statement and scope

Open the RFP with a short, honest description of where you are and what you need. Two or three paragraphs: your business, your volume, the specific problems you’re trying to solve, and the outcomes you’re targeting. Then define scope clearly. Are you protecting checkout only, or the full customer lifecycle from account creation onward? Which sales channels, which regions, which platforms?

This section does real work. A vague problem statement produces vague proposals. A specific one forces vendors to respond to your situation instead of their standard pitch, and it immediately separates vendors who have done this before from vendors who are figuring it out as they go.

Step 4: Build your requirements (the main course)

This is the heart of the RFP. For each area below, write your requirements as questions, mark each as must-have or nice-to-have, and demand evidence rather than yes/no answers. Ask vendors to show rather than tell: reference customers you can actually call, performance data with methodology attached, and a description of how the specific capability works in their product.

Detection and decisioning quality

Don’t accept “we use AI.” Ask what kinds of models power the decisions, and whether they combine supervised models, unsupervised anomaly detection, and behavioral signals. Ask how often models retrain, on what data, and how performance is measured post-deployment — specifically on your transaction mix, not on an industry average.

False declines and approval optimization

A platform that stops fraud by also blocking good customers isn’t protecting you, it’s taxing you. Ask each vendor to show, with data, how they reduce false declines while holding fraud flat. Ask whether the system can separate the approve/decline decision from identity verification — in other words, whether it can accept more orders up front and verify in the background rather than declining anything that looks slightly off. That decoupling is one of the biggest available levers on conversion, and most legacy tools can’t do it.

Post-approval and continuous monitoring

This is the question that exposes the gap between vendors. Most fraud tools make a single decision at checkout and walk away. But fraud doesn’t stop when the payment clears, and neither should the analysis. Ask: does the platform keep evaluating risk across the full lifecycle of a transaction, after approval, or does it go silent once the order is placed? Continuous, post-checkout monitoring is what lets a system catch fraud that only reveals itself later, and it’s increasingly the difference between a tool built for today and one built for where payments are going.

Verification and step-up

When a transaction is genuinely ambiguous, you want options other than a flat decline. Ask what verification steps the platform can trigger, and whether they scale to the risk level — light-touch checks for low risk, stronger steps like document verification or selfie/liveness checks for high risk. The goal is to rescue good orders that a binary system would have thrown away.

Onboarding and account creation

Fraud often starts before the first purchase, at account creation, with synthetic identities and stolen credentials. Ask whether risk analysis begins at signup, whether KYC and document collection can be automated and scaled to risk, and crucially whether that onboarding data feeds downstream decisions rather than sitting in a silo. A verified user’s first purchase should look different to the system than an anonymous one.

Chargebacks, disputes, and liability

Ask who carries the risk. Does the vendor offer a chargeback guarantee or any liability shift on approved transactions? Do they handle dispute representment and assemble the evidence on your behalf, or does that work fall on your team? And if the chargeback guarantee exists, read what’s excluded before you weight it in your scoring.

Integration and implementation

This is where IT’s “minimum effort” interest lives, so make it explicit. Ask which platforms the system integrates with natively (Shopify, WooCommerce, VTEX, Magento, and your specific stack), what the typical integration timeline looks like, who manages the implementation, and what happens if things go wrong during rollout. Get a reference from a merchant of similar size who went live recently.

Reporting, explainability, and case management

Your team has to run this every day. Ask about the analyst workflow, case management, role-based access, and the reporting you’ll get. Ask specifically how a flagged decision is surfaced and explained to a human reviewer — whether the system can explain why it made a call in plain language, not just a score. Explainability matters both for the analyst who has to act on the decision and for the customer who asks why their order was held.

Compliance and security

The non-negotiables: PCI DSS (ideally Level 1), SOC 2, ISO 27001, GDPR and any regional data rules you’re subject to, plus a documented incident response plan. Make these knockout criteria.

Commercial and pricing

Give vendors a fixed pricing template and require them to fill it in, so you can compare total cost of ownership rather than headline rates. If you ask for a structured format and get back a glossy PDF with a logo and narrative text, that vendor just told you something about how they operate.

Flexibility and future-proofing

The business you’re protecting is a moving target. Payment methods are changing, and fraud types are changing right alongside them. Ask how fast the vendor can add new rules and signals, how often models retrain, and how the platform adapts when a new fraud pattern emerges. You want a solution that’s modular — one where you can turn capabilities on as you need them rather than re-platforming. One concrete example worth probing: AI agents are starting to browse and check out on behalf of real customers, a buyer that behaves nothing like a human and produces a fraud profile that looks unusually clean. You don’t need to rebuild your RFP around that, but the partner you pick should be flexible enough to absorb it when it arrives.

Step 5: Define how you’ll score the responses

Decide your scoring method before the proposals arrive, so a polished pitch can’t reset your priorities mid-evaluation.

Build a weighted scorecard using the KPI weights from Step 2. Score each vendor on each requirement category, multiply by the weight, and total it. Require your evaluators to cite evidence — a specific demo moment, a written answer, a reference call — for every high or low score, so the ranking is auditable when you have to defend it across every department that had a stake.

And run the same demo script with every finalist. Asking all vendors to walk through the identical set of scenarios is the single best way to compare them honestly, because it strips away the parts of the demo they’ve polished and shows you how each one actually behaves on your problems.

Step 6: Set the process and timeline

Lay out the dates clearly in the RFP: questions deadline, proposal due date, demo window, and decision date. Give vendors enough time to respond well (two to three weeks is typical), and tell them exactly how to submit. A clear process filters for vendors who can operate professionally and saves you from chasing responses.

Step 7: Read for what’s missing

When proposals come back, the vendors will be on their best behavior, so train yourself to spot the gaps:

• Adjectives instead of numbers. “Industry-leading” with no benchmarks usually means the data doesn’t exist or won’t be shared.
• Silence on post-checkout. A vendor who only talks about the checkout decision is telling you where their product stops.
• Vague pricing. If they won’t commit to clear numbers now, they won’t later.
• Thin implementation detail. A vendor who can’t describe the rollout concretely hasn’t done it enough times.

The bottom line

A strong fraud RFP is a process, not a questionnaire. Align your stakeholders, weight your KPIs, write requirements that demand evidence, and score against a rubric you set in advance. Do that and you’ll choose a partner that serves the whole business and keeps serving it as payments and fraud keep changing.

Every payment counts. The RFP is how you make sure your next partner agrees.