In 2026, AI stopped being a pilot project and became a mandate. 81% of insurers have integrated AI into their workflows, and nine in ten retailers are raising AI budgets. Yet only one in ten supply chain leaders would trust AI to make a decision on its own, and most insurance CEOs still expect the payoff one to three years out. Ask why, and every industry gives the same answer: our data isn’t ready.
This report pushes on that answer across insurance, financial services, manufacturing, logistics, retail and healthcare. It finds that “data isn’t ready” is covering several different problems: data nobody can trace, approval processes too slow for regulators and boards, and infrastructure that breaks every time a partner changes a file format. Each one needs a different fix, and buying the same platform for all of them solves none.
Inside, you’ll learn:
- Why grouping industries by pressure instead of sector reveals three distinct demands: auditable lineage for insurers and banks, resilience to partner format change for manufacturing, logistics and retail, and FHIR and EDI working from one record for healthcare under CMS-0057-F
- How to tell a real data problem from a governance velocity problem before you commit budget
- How MuleSoft, Boomi, Informatica and Cleo have repositioned around agentic AI, and how to separate what’s in production from what’s still on the roadmap
- Twelve questions to ask your own organization and your vendors, plus the five markers of adaptive, governed integration going into 2027