Drawn from customer projects and our own operations. We are happy to answer any questions in an initial call.
Almost every company we have spoken to this year has already tried an AI pilot. It answered questions about documents, summarised emails and wrote drafts. That showed what is possible. The next step is to make the agent a fixed part of a real process. Four levers make that happen.
The agent works in the live system
An agent in everyday operation works directly in the live system, on real data. It has its own identity, reads from the ERP and writes back to it, with exactly the permissions you give it. That saves the team a step, every single day.
A department owns it
An agent belongs to the department it works for. It has a named owner, a log and a monthly report. If it gets something wrong, someone tells it. That way it gets better every month.
The data carries it
An agent that checks invoices needs purchase orders, suppliers and payment terms, ideally straight from the system where they are maintained. With that foundation in place, the agent takes on real work. That is why we build the platform alongside it if it is still missing. It pays off again with every agent that follows.
Operations are part of the plan
Models keep evolving and new document types appear. Processes shift a little every month. An agent that someone monitors and maintains simply grows with them. Operations are where the real value is created, month after month.
Our route there is clear. We look for a process with volume and clear rules, then check whether the data and approvals are in place. We build the agent where it will actually work, with real permissions and real data, and hand it over with a log, a kill switch and a monthly report. It takes weeks. After that, nobody calls it a pilot any more.
