AI is moving into safeguarding, fraud prevention, and citizen services — where it acts within live public sector workflows. In safeguarding scenarios, decisions must be timely, explainable, and based on a complete view of each case.
But most organizations lack the operational awareness, shared context, and governance needed to trust AI. This research reveals a growing gap between what AI requires and what public sector organizations can deliver today.
In this report, you’ll learn:
- Why 72% say AI security and access controls are too complex to manage
- How fragmented data undermines safeguarding and cross-agency decisions
- What it takes to deliver real-time, governed AI across public services
Trustworthy agentic AI depends on three foundations:
- Operational awareness: Real-time access to citizen and operational data
- Shared context: Consistent definitions of such terms as “citizen,” “case,” and “eligibility”
- Governed action: Guardrails protecting compliance, fairness, and accountability
Without these foundations, AI risks delayed safeguarding decisions, inconsistent outcomes, and the loss of public trust.
Download the report to learn how to fix it.
