From workflow automation to workflow reimagining.
Every enterprise AI portfolio is a list of existing workflows made faster. The real prize is not automating the work you do. It is asking whether it should exist.

By Manish Garg
Exploring over the Horizon
In focus
Every enterprise AI portfolio is a list of existing workflows made faster. The real prize is not automating the work you do. It is asking whether it should exist.

Recent
"Copilot" fit when a human flew and the AI rode shotgun. That model is breaking, and the vocabulary is shifting from copilot to coworker.
Three gravities that actually defend an enterprise, and why the layer everyone is arguing about is the one that compounds the least.
Enterprises chased efficiency for decades without ever seeing how work actually happens. Work telemetry is the missing signal. And it compounds into a flywheel.
After years spent mapping how work really gets done, the next shift is clear: enterprise processes pulled out of rigid systems and recomposed around agents.
Themes
From Demystified
A process where the agent picks the steps, not just executes them. The dividing line that changes how the workflow must be governed.
DemystifiedHow much input a model can see at once. Bigger is partly true, mostly misleading, and always expensive.
DemystifiedThe pre-trained base every AI feature sits on. Switching it is harder than vendors admit and easier than internal politics suggests.
From Resources
From the margins
The authors of Reengineering the Corporation reconvene on a 2026 group chat. Posthumously.
An AI cuts one underwriting step from hours to minutes, but the loan still takes 11 days. Why didn't the process get faster?
An out-of-office reply from your AI copilot, currently buried under 47,000 tokens of someone else's context.