Accelerating Safe AI Prototyping in the Public Sector
To drive faster innovation without compliance risks, Zaizi needed to test a new way of working - enabling cross-functional teams to move from ideas to working AI MVPs in a single day using secure sandboxes and synthetic data.
Outcomes
1 Day
From Ideation to Working MVPs
100%
Compliant Prototyping with Synthetic Data
90%
Reduction in Time to Test Feasibility
60%
Cost Savings in Testing
Business Problem
Zaizi, a UK public sector digital transformation firm, aimed to equip teams to solve complex government challenges at pace. Traditional approaches created barriers: lengthy setups, data privacy risks, compliance “handbrakes,” and silos between policy/strategy and technical teams.
The priority was to prove rapid, safe AI innovation was possible for real operational problems – translating public sector ambitions into functional solutions without exposing live data or disrupting systems.
Challenges
- Compliance & Privacy Risks: Fear of using real sensitive data slowed experimentation.
- Slow Innovation Cycles: Months-long processes hindered pace in regulated environments.
- Siloed Teams: Policy, strategy, and engineering often spoke different “languages.”
- Setup Delays: Tool access, environments, and approvals created bottlenecks.
- Operational Realism: Need to test ideas in realistic but safe scenarios.
From Idea to Evidence with NayaOne
Zaizi partnered with NayaOne for a dedicated one-day AI sandbox hackathon. Cross-functional teams (engineers, designers, strategists, policy experts, user researchers) used NayaOne’s digital sandbox platform – pre-loaded with synthetic data, third-party tools, APIs, AI models, and low-code platforms – to prototype without onboarding delays or live risks.
Teams started with whiteboard ideation on public sector challenges, quickly built working MVPs (e.g., AI-driven decision systems or automated workflows), and tested them in isolated, realistic environments. The “fail fast” approach enabled rapid iteration, while synthetic data ensured compliance and trust. Executive alignment and cross-team collaboration bridged gaps. As a result, Zaizi gained a proven blueprint for building faster and safer, planning more hackathons in 2026.
Impact Metrics
PoC Timeline Reduction
1 day with NayaOne vs months traditionally
Time Saved in Vendor Evaluation
10 - 16 months
Decision Quality
Improved by validating ideas upfront with realistic synthetic data, giving teams confidence in public sector AI adoption.
KPIs
- Prototype Delivery Time
- Compliance & Privacy Readiness
- Team Collaboration Effectiveness
- Innovation Cycle Time Reduction
- MVP Functionality & Realism
- Confidence in Safe AI Deployment
Accelerate Your AI Innovation with NayaOne.
Prototype safely in hours, use synthetic data for compliance, and align cross-functional teams before scaling — all in a secure Digital Sandbox.
