Operational AI

How to use multi-agent systems and operational intelligence to improve business processes

One agent solves a task. Several agents working on the same process solve an operation. The difference lies in the coordination.

How to use multi-agent systems and operational intelligence to improve business processes

What a multi-agent system is and is not

It is not five models answering the same thing. It is splitting a process across components with different responsibilities: one reads the document, another validates against the system of record, another decides the exception and another writes the result. Each piece can be verified on its own, and that is what makes the whole maintainable.

Orchestration is the real work

Connecting the components is the easy part. The hard part is defining the order, what happens when one fails, how many times it is retried and who reviews whatever was left in doubt. Most of the value shows up there: in exception handling and traceability, not in the newest model.

Where it creates value first

In high volume administrative processes with little judgement: documentation, reconciliations, email classification and replies, report generation. In those cases the improvement is measured in hours freed and errors avoided. In decisions with consequences that are hard to undo, the system proposes and the person decides.

How to tell whether you are ready

There are three conditions: your data exists in digital form even if it is messy, there is someone accountable for the process with time to review exceptions, and there is a way to verify the result. If the first is missing the project starts by tidying data. If the second is missing it starts by agreeing who is in charge. If the third is missing, it is not the moment yet.

← Back to articles

Was this useful?

If you want to see how it applies to your operation, we can book a half hour conversation.

Book a diagnostic
¿Hablamos?