AI agents for your business and existing systems

Where AI can help

Teams often spend time sorting enquiries, reading documents and looking for information across different systems. An AI agent can help handle these tasks using the tools and information you choose.

Agents and traditional automation

Traditional automation follows predefined rules. An AI agent can interpret information and choose between permitted actions, but its decisions need boundaries and checks. The two approaches can work together.

Practical use cases

An agent can classify requests, extract information from documents, search approved internal information and help employees prepare answers. Through APIs it can also perform permitted tasks in connected tools.

Example: a request with human review

An agent classifies an incoming request, looks up relevant internal information and prepares a response. An employee reviews and approves it before it is sent or any consequential action is taken.

From analysis to maintenance

We start by examining the task and its risks, then define the permitted actions and integrate suitable tools. We test with representative examples, review the results together and agree how the solution will be maintained.

Security and human oversight

Access permissions, data handling and the agent’s autonomy are defined for the specific use case. Sensitive actions can require human approval; results must be checked, because AI can make mistakes.

Frequently asked questions

Can an agent use our existing tools?
Often, if suitable interfaces and permissions are available. We check this before choosing an approach.

Will sensitive data be protected?
We assess the data, access rights and processing options for the project before implementation.

Does the agent act without supervision?
You decide the permitted actions and where human review or approval is required.