The conversation is becoming more immediate and pragmatic for leaders in the public sector: where investment can still be defended, which initiatives are most likely to move ahead, and what needs to be in place before broader ambitions can scale. Interest in AI remains high, but most agencies appear to be approaching it through the lens of productivity, governance, and control rather than experimentation alone.
The same is true of modernisation. Many leaders see legacy constraints, workflow complexity, data-sharing limitations, and operating model gaps as the factors that will shape how far agencies can progress on AI, resilience, and service improvement.
For providers, it is no longer enough to lead with capability, innovation, or transformation ambition in abstract terms. Government agencies are looking beyond capability-led messaging towards partners who understand delivery realities, can support readiness as well as ambition, and can connect technology decisions to practical public sector outcomes.
How should you adapt your messaging, proof points, and market approach to stay aligned with the priorities shaping government technology buying today?
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