AI won’t fix a broken company. Rewiring it will

Every CEO wants to talk about AI’s magic.

Almost none want to talk about the boring problems standing in the way.

Picture a railroad that spends billions on the fastest trains in the world, then runs them on the same aging rails.

The trains aren’t the constraint.

The tracks are.

That’s the uncomfortable truth for most enterprises deploying AI today: the technology has never been more powerful, yet only a fraction of companies turn it into measurable business impact.

The rest are stacking agents on top of decades of legacy IT, siloed data, and broken workflows, which doesn’t accelerate the business.

It just automates the dysfunction faster.

We know this firsthand.

Nearly two years ago, our organizations partnered to modernize TIAA’s recordkeeping infrastructure.

TIAA is 108 years old and carries the technical debt to prove it.

Before we could scale AI, we had to rebuild the foundation underneath it, cleaning data, retiring outdated systems, and redesigning how work actually flows.

The payoff: plan sponsors can now change investment options for employees’ retirement plans in days instead of weeks, and digital engagement across TIAA’s millions of participants has risen 13%.

None of that came from a flashy AI demo.