Simple automation is right more often than people think. The line is whether a step needs judgement.
Trigger-action tools move data between two apps when something happens. They are reliable, cheap, and right for simple, deterministic hops. You should use them wherever they work.
The line is judgement. The moment a step needs to read a document, decide what kind it is, and draft a response, a trigger-action tool cannot do it well. That is where an AI layer earns its place.
The strongest systems use both. A deterministic backbone handles routing, retries, logging and the audit trail in plain code. AI sits only at the judgement steps. That split is why the system keeps working when a model has a bad day, because the AI step fails into an exception queue rather than corrupting your data.
We will tell you honestly when a simple tool is enough, and we build the AI layer only where it pays for itself.
Governance is not a policy document. It is the controls that let a board approve AI without taking on risk it cannot see.
Most AI projects stall because the wrong first project was chosen. A single payback number fixes that.
