01
Data & AI strategy consulting
Data-landscape assessment, AI roadmap, and business case. We benchmark your semantic-layer readiness and fraud-program maturity, then sequence the wins — typically a 3–6 week engagement.
02
Implementation & integration
Our engineers connect billing platforms, payment rails, and warehouses; model your semantic layer; and take BillerLens and GVLens live — including shadow-mode fraud pilots on historical traffic.
03
Custom AI solutions
Bespoke models and workflows built on the platform — collections optimization, churn prediction, document intelligence, dunning automation — owned by you, maintained with us.
04
Managed services & enablement
Ongoing model tuning, fraud-ops support, semantic-model governance, and training programs so your analysts and data teams keep compounding value after go-live.
How we engage
A model that fits where you are
ASSESS
Discovery sprint
Fixed-scope, 3–6 weeks. Data audit, use-case prioritization, and a costed roadmap you can act on with or without us.
BUILD
Delivery pods
A dedicated pod of fgztech engineers and your team, shipping in two-week increments from pilot to production.
RUN
Managed partnership
Quarterly outcomes, monthly tuning, and an SLA-backed support line for fraud ops and data teams.
Bring us your hardest data problem.
A scoping call costs nothing — you leave with a clear next step either way.