Insurers' AI goals expose the cloud execution gap - NTT DATA

Big insurance companies just revealed why most AI projects fail before they even start. It's not the AI tool. It's that their data is scattered, siloed, and not ready to be acted on. Sound familiar?

Big insurance companies just revealed why most AI projects fail before they even start.

It's not the AI tool. It's that their data is scattered, siloed, and not ready to be acted on.

Sound familiar?

That $200/month tool collecting dust probably isn't a bad tool. It's a tool that got plugged into a business that wasn't set up to feed it the right information at the right time. Nobody told you that part. The consultant certainly didn't.

Here's the insight worth stealing from this industry report: even billion-dollar insurers are failing at AI because they skipped a boring but critical step — knowing exactly where their data lives and how it flows through their operations.

You don't need to rebuild anything. You need one clean data source, one clear problem, and one tool matched to that specific job.

That's it. That's the first win.

Before you evaluate another AI tool, spend 30 minutes answering this: what's one repetitive task in your business that runs on predictable, consistent information? That's your starting point — not a platform, not a strategy overhaul.

Small scope. Real result. Proof it works for your business specifically.

What's the one AI tool you bought that your team quietly stopped using — and what do you think actually killed it?

#AIStrategy #SmallBusiness #BusinessGrowth #AIImplementation

Original Source

Agentic AI, intelligent automation and real-time decision-making depend on data availability and streamlined integration between core insurance ...