Build vs. Buy: When Custom Software Is Worth It
A practical framework for operations and IT leaders deciding between custom software and off-the-shelf products: cost, fit, integration and data ownership.
Insights
We write about what we learn building products and systems: the technical and management decisions every organization investing in technology has to make.
A practical framework for operations and IT leaders deciding between custom software and off-the-shelf products: cost, fit, integration and data ownership.
Practical criteria for picking your first AI automation candidates: volume, rule clarity, cost of error, data, human review, and how to run a narrow pilot.
The recurring reasons integration projects slip, from unclear data ownership to undocumented legacy APIs, plus a planning checklist to use before you start.
Tell us what you want to build or improve. We will come back with a clear view of the next step.