Insights

Most organizations don’t have a data problem. They have a knowledge problem.

Why fragmented enterprise knowledge slows healthcare decisions more than missing data.

Over the years, I’ve learned that health insurers don’t really have a data problem — they have a knowledge problem.

I’ve watched product teams spreadsheet their way through a maze of complex benefits data; I’ve seen sales support staff scrambling through multiple systems of record to answer a basic member question; I’ve observed sales executives devouring dozens of disparate reports that don’t tell a unified story.

We’ve been stuck in this data reality for some time —

Benefits teams carefully maintain plan documents.

Claims teams rely on their adjudication systems.

Enrollment, regulatory, and policy knowledge all live where they “should.”

But with data access restricted by its functional silos there’s simply too much lost in translation and too much time lost when someone needs knowledge.

A broker calls the help desk:

“Can this member change plans mid-year?”

“And how is this benefit different from last year?”

The answer exists — but it’s spread across enrollment rules, benefit summaries, and regulatory guidance. So the rep stitches together an answer across systems — hoping nothing’s outdated.

This is where generative AI can help — but only if it’s grounded in the right foundation.

What I’ve seen work (and what I’ve seen fail) comes down to this:

AI doesn’t replace claims, enrollment, or core policy systems.

It connects them through a unified, governed enterprise knowledge layer.

In that model:

Core platforms remain the systems of record

Curated benefits, enrollment rules, and regulatory guidance become the system of intelligence

AI becomes the front door to consistent, compliant answers brokers can trust

When that foundation is missing, AI just accelerates confusion.

When it’s done right, it changes the experience — faster broker support, fewer escalations, and far more confidence for the people answering the phones.

The winners won’t be the insurers with the flashiest AI demo. They’ll be the ones who treat enterprise knowledge like a living product — one that unifies benefits, enrollment, and policy knowledge into a single source of truth.

I’m curious: where do you see knowledge breakdowns happening the most today? Benefits, enrollment, claims, compliance, other?