Constraint diagnosis
A structured pass over your operation — flow, policies, measures — to locate the real constraint and the policies protecting it. Grounded in Goldratt's Thinking Processes.
The consulting practice of Brian Watson — Theory of Constraints thinking, applied with AI-native systems that make the improvement stick.
Most organizations improve everything a little. The Theory of Constraints says that's backwards: at any moment, one constraint sets the ceiling on the whole system, and effort spent anywhere else is largely wasted. The work is to find that constraint, exploit it, elevate it — and then do it again, because the constraint moves.
Today there's a second lever: AI. Not as a bolt-on chatbot, but as an operating layer — systems that watch the flow, surface the constraint, and carry the process discipline that usually decays when the consultant leaves.
A structured pass over your operation — flow, policies, measures — to locate the real constraint and the policies protecting it. Grounded in Goldratt's Thinking Processes.
Design and implementation of the mechanics that follow: buffer management, prioritization, flow rules, and the measurements that keep local optima from creeping back.
Purpose-built AI tooling that embeds the above into daily work — dashboards, agents, and pipelines your team actually uses, built on your data and your stack.
If your organization is working harder and shipping the same, let's find out where the ceiling actually is.