The first AI project should be boring
The deployments that survive are the ones that start with a measurable, repetitive workflow and a named owner, not a showcase.
ReadInsights
Short, practical notes from deployment work: what to do first, where agents should stop, and why knowledge design decides the result.
Where agents should stop: designing approval points
An agentic workflow is defined as much by what it may not do as by what it can. Approval points are design decisions, not afterthoughts.
ReadKnowledge before models
Most enterprise AI disappointment traces back to the information the system was given, not the model it ran on. What a usable knowledge foundation looks like.
ReadStart with one workflow.
Tell us the process, the people who run it and what you would like to change. We will suggest the right first conversation, with no obligation.