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AI & automation

Automate a task. Not your judgment.

The best starting points are often the repetitive tasks everyone already knows.

A human hand and a robotic arm work together to assemble geometric shapes.

Start small and specific.

A familiar process is a good starting point for discussion: where does the information come in, who checks it and what happens next? Describing these steps helps reveal what can be simplified before you even choose a tool.

Define what should stay human.

Preparing a draft and approving it are two different tasks. Automation can handle part of the preparation while keeping a human review step. That distinction needs to be clear to the people using the system.

Plan for exceptions.

Information can be missing, data can be ambiguous and a service can become unavailable. The process should make these situations visible and make it easy to pick things back up. Automation that people understand is easier to use and improve.

Evaluate it in everyday use.

The first prototype is a chance to observe: does it actually help the team? Do corrections take more time than the original task? The answers guide what comes next. Sometimes a few adjustments are enough; sometimes it is better to rethink the starting point.

The next step starts with a conversation.

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