AI is only worth deploying where it removes a measurable amount of manual work. We start by finding those places – the inbox someone reads every morning, the documents someone retypes, the report someone rebuilds every Monday – and scope an agent for that specific job.
Every agent we ship has three things a demo does not: a defined failure behaviour, an audit trail of what it did, and a cost ceiling. Where accuracy matters, a person approves before anything commits. We are candid about the cases where a rules engine is cheaper and more reliable than a model, and we will tell you when that is the answer.