AI agents rarely fail because the model is weak – they fail because the organisation underneath them isn't ready. It's not a technology gap, but an architecture and leadership gap: knowledge nobody maintains, processes that only live in people's heads, no clear line between what a machine may decide and what stays with a human. And it's not just an ITSM problem – it's the same pattern we see across technology, organisation, and people whenever transformation stalls.

In this session, using Jira Service Management (JSM) as the proving ground, we show how to assess how ready your service organisation actually is. We then follow one ordinary ticket end to end – routed, picked up by the right specialist, resolved across the tools involved, every step documented – to make concrete what "AI-ready" looks like before you call anything agentic.

Getting there takes clear analysis, solid architecture, and leadership willing to commit – and staying there is a continuous maturity process, not a one-off fix. This is exactly the kind of transformation we help organisations navigate: in practice, with experience, and to good effect.

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