AI agents

Give an AI agent one clear job and clear limits.

An AI agent can work with varied information, find relevant documents and prepare an action using approved tools. It needs a defined purpose, permitted data sources, quality checks and someone accountable for the outcome.

Typical AI agent flow
  1. TriggerRequest or document
  2. DataApproved sources
  3. AgentInterprets and prepares
  4. ActionApproved tool
  5. ExceptionPerson
  6. OutcomeAction completed

On this page

What it solves

When an agent makes sense

An agent helps where simple rules are not enough.

  • Incoming documents vary in format.
  • A task requires context from several sources.
  • The next step needs a drafted response or proposal.

When we do not use an agent

If simple rules can reliably do the work, we use ordinary automation instead.

Process automation

How it works

What we define before development

Before the agent starts work, it is clear what it may do, which sources it uses and who is accountable for the result. We settle the concrete setup around your environment and rules.

Before and after: an incoming document

Illustrative example. Not a client case study.

Today

Manual handling

  1. A document arrives in an inconsistent format
  2. Someone reads it and copies the data
  3. Context is looked up in other systems
  4. A response is drafted from scratch

Manual reading · searching · waiting

With ENTER

An agent with clear limits

  1. The agent reads the document and extracts the data
  2. It finds context in approved sources
  3. It prepares a draft response
  4. An uncertain case goes to a person
  5. The action runs through an approved tool

Approved sources · quality checks · a person when uncertain

Colleagues reviewing results together

Where people decide

The agent hands uncertain cases to a person.

A named person is accountable for the outcome. The agent must know when to stop.

  • The process owner is accountable for the result.
  • When information is missing or the agent is unsure, it stops.
  • A person approves selected steps.
  1. A case outside the limits
  2. The agent stops
  3. The accountable person decides
  4. The case continues

systemautomationa person decidesoutcome

How we validate it

We test normal, unusual and difficult examples.

Before launch we check the output on normal, unusual and difficult examples and show it together with its limits.

We introduce a working system in stages.

One agent or several?

We use multiple connected agents only when a process genuinely needs different functions. The goal is reliable work, not a large number of agents.

Related

What is holding back your growth today?

Book a 30-minute callTell us about one process and the systems involved. We will discuss whether and where it makes sense to start with an Audit.Send us a messageDescribe the process where work gets stuck. We will get back to you.

The initial call is an introduction. The Audit and any further work are scoped and agreed separately.