Government solutions
Fraud Detection for Government
Half the fraud detection engagements we take on for public sector start with a hard conversation about scope. Killing the wrong project costs nothing; shipping the wrong one costs years. We do the first so you don't have to do the second.
Why government teams choose Beryl Analytics for fraud detection
- Built for compounding value. Each fraud detection engagement leaves public sector with infrastructure that accelerates the next one — shared feature stores, reusable pipelines, documented data contracts.
- Real handover. We pair your team into the build from day one. By go-live, they own the system. We're optional from then on.
- Practical AI. We've shipped LLM-augmented analytics where they help, and stayed with simpler models where they outperform. Hype is not a strategy.
- Audit-friendly. Every model decision is traceable. Compliance and risk teams stop blocking — they start enabling.
- Track record. 1,000+ models in production. Across heavy-industry, regulated, and consumer domains.
How we deliver fraud detection engagements
- 01
Frame the decision
Before we touch a model, we agree what decision the output will change, who owns that decision, and what counts as success in dollars or risk reduced.
- 02
Land a working slice
A narrow but complete production system: source-to-decision in 4-6 weeks, monitored, owned, and measurable. Then we expand from real evidence.
- 03
Embed the operating model
Retraining cadence, alerting thresholds, escalation runbooks, and clear ownership. The system stops being "the analytics project" and becomes part of how the business runs.
- 04
Compound the wins
Reuse the foundation across the next use case. Each engagement makes the next cheaper, faster, and lower-risk.
Frequently asked questions about Fraud Detection for Government
How long does a typical Fraud Detection engagement take for a government business?
Most fraud detection projects for public sector land a working production slice within 4-6 weeks, then harden and expand over the following 8-12 weeks. Larger government programmes that touch multiple business units take 4-6 months end-to-end.
What data do you need to start a Fraud Detection project in government?
Minimum viable inputs are 12-18 months of historical transactional or operational data, basic entity reference tables, and access to the systems that will consume the output. We can work with messy data — cleaning is part of the engagement.
Can Beryl Analytics integrate fraud detection with our existing public sector systems?
Yes. We're tool-agnostic and have integrated with Snowflake, BigQuery, Databricks, Salesforce, SAP, Oracle, custom in-house platforms, and dozens of government-specific systems. Insights surface inside the tools your operators already use.
How do you measure success on a Fraud Detection engagement?
Before we model anything, we agree the business decision the output will change and the dollar metric we're targeting — revenue lifted, cost avoided, or risk reduced. Fraud Detection engagements in government typically return 4-12x within the first year.
Do you work with government businesses outside major NZ and AU cities?
Yes. We deliver remotely across New Zealand and Australia and visit on-site for discovery, key workshops, and go-live. Distance is not a blocker — many of our highest-impact fraud detection engagements have been with regional public sector.