AI automation for your business

An AI agent can carry out a defined sequence of tasks, such as organising information and preparing a draft. We restrict its tools and permissions and specify when a person must take over.

An assistant helps a person with a specific task, such as finding approved information. We define permitted knowledge sources and make limitations clear rather than presenting unchecked statements as facts.

We break repetitive work into clear steps, such as receiving, routing and approving an enquiry. Where fixed rules suffice, we use conventional automation; AI is added only where appropriate.

Good instructions clearly describe the task, input and expected result. We develop these rules with suitable examples and define how incomplete or contradictory information should be handled.

We test an AI system with representative examples and deliberately difficult cases. We examine errors, limitations and agreed quality criteria before the system receives greater responsibility.

Not every decision should be carried out automatically. We introduce traceable review steps, for example before sending a message, and define who can correct, reject or approve an action.

New errors can occur even after a successful test. Within the agreed scope, we monitor failures, costs and quality indicators and define a stop or fallback procedure for problematic situations.