Service
Risk & Fraud Analysis
Automated rules catch the obvious and flag a pile of maybes. The maybes are where the money is, and they need a person who knows your product working the queue against written criteria — not blocking everything that looks unusual. We staff that review layer, and we report on what your rules are getting wrong.
What the team handles
Risk & Fraud Analysis
- Manual review of flagged transactions and account signups
- Account takeover, promo abuse and bonus abuse investigation
- Risk scoring on orders before they ship or settle
- Watchlist and blocklist upkeep against your criteria
- Case notes and evidence written into your fraud tooling
- Rule-performance feedback — which flags are noise, and what's getting through
We confirm scope with you during the design stage and write it into the operating plan before the team goes live.
Measurement
Metrics usually agreed for this service
We set targets with you before launch. These are the measures the conversation usually starts from — the numbers attached to them are yours to define.
- 01
Review queue age and time to decision
Target set per client
- 02
False-positive rate on manual reviews
Target set per client
- 03
Approval rate on flagged but legitimate customers
Target set per client
- 04
Decision consistency between analysts
Target set per client
- 05
Share of fraud caught at review rather than after settlement
Target set per client
Reporting cadence, escalation thresholds and the review meeting rhythm are agreed alongside the targets themselves.
Before you commit
Practical questions about risk & fraud analysis
The questions buyers ask once the brochure stage is over.
- Do your analysts make the block decision?
- Inside the thresholds you set, yes — that's what the queue is for. Above them, or on anything the criteria don't cover, the case comes to you with the evidence attached. Every decision is recorded against a named analyst, so a pattern of bad calls is visible rather than anonymous.
- How do you stop the team over-blocking?
- By measuring it. Blocking everything makes the fraud number look excellent and quietly costs you good customers, so approvals on flagged-but-legitimate accounts get reported next to the catch rate. A review team judged only on fraud caught will always over-block.
- Do you replace our fraud tooling?
- No. We work inside whatever you already run, and we don't sell a model of our own. What we add is the human layer your rules hand off to, plus honest feedback about the flags wasting the team's day.
- How long before analysts are useful on our queue?
- Longer than for a support queue, and we'd rather say so. Fraud review depends on knowing what normal looks like for your product, which takes weeks of worked cases, not a training deck. Expect a shadow period with decisions checked before they're actioned, and expect the escalation rate to be high at the start — that's the process working, not failing.
Where it fits
Sectors that most often run risk & fraud analysis as part of a dedicated team
Next step
Talk through risk & fraud analysis for your business.
Bring your current volume, your tools and your response targets. We'll tell you what a workable team looks like — including when that's a smaller one than you expected.