AI & Automation
AI Fraud Detection & Automation
We build detection that runs on your own data and complains about the right things - scoring transactions and claims as they happen, and automating the checks a person should not have to repeat all day.
What we offer
AI Fraud Detection & Automation capabilities we scope and deliver
- Risk data foundation: the events, features and history a reliable model depends on
- Hybrid detection combining your written rules with anomaly and behaviour scoring
- Real-time scoring for transactions, claims, logins or orders, with thresholds you control
- Workflow automation for triage, evidence gathering and analyst review queues
- Automated document, identity and duplicate checks where manual review adds little
- Explainable outputs, monitoring for drift, and reporting your auditors can follow
Our process
How we run a ai fraud detection & automation engagement
Find the risk surface
We review where losses and wasted review time actually come from, and what data exists to tell normal from suspicious.
Build and validate the model
Models are trained and back-tested against your history, and judged on the cases that matter rather than averages alone.
Wire it into the workflow
Scoring is deployed into the system where decisions are made, with clear escalation paths and human review where it counts.
Measure and refine
We track false positives, missed cases and handling time, then tune thresholds and rules as your patterns change.
Get a quote for ai fraud detection & automation
Tell us what you are trying to achieve and we will come back with a scoped, written proposal - what we recommend, what it involves and what it costs.