
Moving From a Legacy System to an AI-Driven Platform
Replacing a legacy system with an AI-driven platform is not a migration. It is a product redesign with a data move attached. Three traps decide whether it succeeds.
Short pieces on problems we see often: AI adoption that stalls, roadmaps that become lists, and what the first months of a fractional engagement actually look like.

Replacing a legacy system with an AI-driven platform is not a migration. It is a product redesign with a data move attached. Three traps decide whether it succeeds.

The hardest part of a big initiative is rarely the summit. It is the distance between here and there. Break the climb into camps, and the project becomes human again.

Scaling a product org is less about headcount and more about how the work is split. The hiring mistakes show up first.

What actually happens in the first three months of a fractional product engagement, and what leaders should expect.

A roadmap that is just a list of features is a forecast of disappointment. Here's how to turn it into a set of bets.

Most regulated companies ship an AI pilot and then watch it sit. The model isn't the problem. The workflow is.