AI systems are approved department by department with no cross-functional visibility. No leader can answer: what AI are we running, who owns it, and what data does it access
Budget is allocated. Vendors are paid. But there is no consolidated view of total AI expenditure by department, by vendor, or by initiative —making ROI accountability impossible.
Not every AI system carries equal risk. High-autonomy systems processing citizen data require a different governance standard —but without a registry, no classification is even possible
AI is approved on the promise of efficiency, revenue, or service improvement. Without a decision horizon tracker, no one can tell whether those promises were kept or quietly abandoned
The difference matters especially for governments, regulated industries, and any organisation accountable for how public or institutional funds are spent on technology.
GateFirst does not run AI. It tracks, evaluates, and governs every AI system your organisation has approved, procured, or deployed
Unlike heavy innovation suites, GateFirst is lightweight and built for action —tracking live initiatives, not hypothetical ideas.
Unlike heavy innovation suites, GateFirst is lightweight and built for action —tracking live initiatives, not hypothetical ideas.
Department submits initiative. Problem, objective, and expected outcome defined upfront.
Vendor mapped: name, model used, data sources, data residency, contract value, SLA.
Live date recorded. Integration points logged. Department owner and IT owner assigned
Ongoing: cost tracking, system health, compliance flags, data access review, risk score.
Expected vs actual: efficiency, revenue, citizen impact, ROI. Renewal or exit decision
Expected outcome at approval, actual measured outcome at review, and delta — did the AI deliver on its promise?
