Public Sector AI: 5 Shifts Driving Mission Outcomes — Scalable Agentic AI

AI Impact Summary

Public sector organizations are moving beyond isolated AI use cases to orchestrating end-to-end processes, driven by a need for measurable impact and scalability. This shift requires a fundamental rethinking of data architecture, governance, and the human-machine relationship, moving from a ‘human in the loop’ to a ‘human in the lead’ model. The focus on open, flexible architectures like Elastic’s OpenTelemetry is critical for connecting distributed data and enabling AI agents to drive real-world outcomes.