AI in insurance regulation From principles to operational accountability - Wolters Kluwer

You bought the AI tool. Nobody uses it. Sound familiar? That $200/month quietly draining your account isn't a tech failure — it's a governance failure. And it's not your fault. Here's what's actuall

You bought the AI tool. Nobody uses it. Sound familiar?

That $200/month quietly draining your account isn't a tech failure — it's a governance failure. And it's not your fault.

Here's what's actually happening. The insurance industry just got a wake-up call from regulators: AI only works when someone is clearly accountable for it. Not the vendor. Not the IT guy. The business owner.

That's the insight most gurus skip. AI tools don't fail because the technology is bad. They fail because nobody owns the outcome. No clear process. No one checking if it's actually working. No accountability loop.

The fix doesn't require ripping anything apart. Start here: pick one business problem you deal with weekly — a report, a customer response, a compliance check. Assign one person to test one AI tool on that one task for 30 days. Measure the time saved. That's your first win.

One problem. One tool. One owner. One month.

That's how you move from "we bought something nobody uses" to "here's exactly what AI does for our business and what it costs us."

No code required. No consultants needed.

What's the one task in your business that eats the most time every week — and have you tried automating it yet?

#AIStrategy #BusinessGrowth #SmallBusiness #AIImplementation

Original Source

AI governance is now an enterprise risk issue, not a technical concern. Regulators expect insurers to demonstrate: Board-level oversight; Integration ...