Support specific tasks
The agent is given a clear task, input and expected output.
Handle customer enquiries and follow-up steps in one controlled workflow.
A customer enquiry often requires information from multiple sources and a follow-up action in another system. This means staff frequently have to switch between applications. An AI agent helps answer questions and can carry out authorised follow-up steps within clear boundaries.
An application only becomes meaningful when it fits a specific task and the information available for it.
Human oversight remains necessary for exceptions and actions with significant consequences. That is why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
The agent is given a clear task, input and expected output.
Access and actions are limited to what the task requires.
Logging and monitoring show what the agent does and where adjustments are needed.
We select a clearly defined task with a clear start and end.
We define what the agent can do and when approval is required.
We give access only to the sources and actions needed.
We test standard scenarios, exceptions and stopping criteria.
We track actions and only then add new tasks.
This service is relevant for organisations with large-scale customer service operations. The exact setup depends on the process, the available data and the risks associated with the application.
We therefore start with a clearly defined application and only expand when the initial setup works in practice.
This service addresses the following challenge: an AI agent helps answer questions and can take permitted follow-up steps within clear boundaries. Exactly how it works depends on the process and the available data.
The service may be relevant for organisations with large-scale customer service processes. A specific need and usable information matter more than the size of the organisation.
That depends on the chosen application. We start with the question that needs to be addressed, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the challenge and add complexity only when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. Once it is in use, we monitor how it performs and adjust the solution when the data, usage or context changes.
Want to explore where it makes sense to start with an AI agent for customer service? Together, we’ll map out the challenge, the available information and the requirements.