The right question is not “how do we cut the time?” It is “how do we cut the time on the right parts?”

AI is already changing parts of the modernization equation.

Reading DataWindow definitions. Generating API structures. Producing frontend components against a defined style. Work that was mechanical, exhaustive, and slow — AI handles a significant portion of it faster than any manual process.

That part of the timeline compresses. Meaningfully.

But there is a different kind of time in a PowerBuilder migration that AI does not touch.

The time it takes to run both systems against real production inputs and understand why the outputs diverge. The time it takes to trace a discrepancy back to a computed column expression modified in 2011 for a business reason nobody fully remembers. The time it takes to resolve it correctly — which requires understanding it correctly first.

This is not execution time. It is evaluation time.

And evaluation time is where the risk lives.

The organizations that compress this phase — for whatever reason, with whatever tools — are the ones that go live with a system that processes 99.9% of transactions correctly and discover the rest in a financial audit.

AI makes the build faster.
It does not make the validation faster.
Nor should it.

The right question is not “how do we cut the time?” It is “how do we cut the time on the right parts?”