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 For Fraud Ops

92% less
manual review.

Serixo auto-decides 92% of your review queue. Your team focuses on the 8% that actually needs human judgment — not thousands of routine cases.

See the queue Book a demo
92%
Auto-decided
4 min
Avg review time
0.04%
False positives
Serixo · Review Queue
Auto-deciding
Review Queue
12 pending
2,481
Auto-decided today
12
Needs review
99.5%
Auto-decide rate
Transaction
Risk
Amount
Age
Status
pay_9c3f2e 58/100€3124mREVIEW
pay_2d9a1c 74/100€7807mHIGH RISK
pay_1a8d4c 41/100€5412mREVIEW
pay_5b1e7f 29/100€12715mESCALATED
pay_8a3e1b 62/100€44521mREVIEW
pay_9c3f2e · €312
Score 58/100 · 4m ago
4m ago
new_devicemedium_riskmulti_card
ML score 58/100 · new device fingerprint · 2 cards linked to same email · no prior history on this IP range
This IP range was linked to 4 fraud cases this week. Recommended action: block.Block →
 Before vs After

Same team.
Different day.

The same team, handling the same volume — but spending time on what actually matters.

Before Serixo
Manual-heavy ops
Analyst reviews every flagged transaction manually from scratch2,500/day
Context missing — no identity graph, no device history visibleIncomplete picture
Average decision time per case18 min
False positive rate — good customers blocked1.8%
Rule updates require eng ticket, 2-week backlog2 weeks
Team size needed to handle peak volume8 analysts
With Serixo
Automated + assisted ops
92% auto-decided with full reason chain — analyst time freed for complex cases200/day
Full context surface: identity graph, device history, ML signalsFull picture
Average decision time per case — pre-filled context4 min
False positive rate — among the lowest in the industry0.04%
Rule updates deployed instantly via no-code rule builder<5 min
Team size needed to handle same peak volume2 analysts
 Ops tools

Built for the
analyst's workflow.

Every tool designed around how fraud analysts actually work — not how engineers imagine they work.

Smart review queue

Only the truly ambiguous cases land in the queue. Each one pre-loaded with full context: identity graph, device history, signals, and AI recommendation.

pre-loaded contextAI suggestion

No-code rule builder

Create, test, and deploy fraud rules in minutes — no engineering ticket needed. Backtest any rule against 90 days of history before going live.

no-codebacktesting<5 min deploy

Identity graph explorer

Visual graph of every entity linked to a case — cards, devices, emails, IPs. Expose fraud rings and synthetic identities in one view.

visual graphfraud ringsshared attrs

Bulk actions

Select 50 cases, apply one action. Block entire IP ranges, card bins, or device clusters with one click — with full audit trail.

bulk blockIP rangesaudit trail

Attack pattern alerts

Get notified the moment a new attack pattern emerges — card testing bursts, bot swarms, coordinated fraud rings. Before they scale.

real-time alertpattern detectSlack / email

Chargeback evidence pack

Every disputed transaction auto-packaged with device fingerprint, IP trace, identity signals, and timeline — ready to upload to your bank.

auto-generatedbank-readyone click export
 Team impact

Same team.
4× the capacity.

Your analysts stop drowning in low-quality queue items. They become investigators — working the hard cases, building rules, closing fraud rings.

92%
Cases auto-resolved without analyst touch
4×
More cases per analyst per day
4 min
Avg time per reviewed case (was 18 min)
75%
Reduction in manual review workload

We had 6 analysts reviewing 2,000 cases a day. Now 2 people handle the same volume and actually investigate the hard stuff. Game changer.

D
Diana K.
Head of Fraud Ops · iGaming, Malta

The identity graph alone saved us weeks of manual investigation. I can see a fraud ring in 30 seconds that used to take days to piece together.

M
Marco S.
Senior Fraud Analyst · Fintech, Amsterdam
Fraud ops efficiency

Stop reviewing.
Start investigating.

92% of your queue can be auto-decided with high confidence. Let Serixo handle it. Your team focuses on the complex cases where human judgment actually matters.

92%
Auto-decided
4×
Analyst capacity
4 min
Avg review time
0.04%
False positives
For your team

Let your analysts
focus on what matters.

See a live demo of the review queue. Bring your own data and we'll show you exactly how it would look for your team.

92%
Auto-decidedno manual review
4min
Avg review timeremaining 8% of cases
0.04%
False positivesminimal escalation