Introducing an AI workbench? Avoid these 5 mistakes

Mistake 1: choosing by model size, not use case

However strong the model, without your business data and workflows it is just a clever chat box.

Mistake 2: buying without training

If staff don't know how or dare to use it, it gathers dust in three months. Train on real scenarios before launch.

Mistake 3: ignoring data and permissions

Staff casually feed business data to random external tools until a compliance issue surfaces. Choose tenant isolation, roles and audit from day one.

Mistake 4: rolling out everything at once

Start with 2-3 highest-frequency scenarios until people can't live without it, then expand.

Mistake 5: choosing on the demo alone

A vendor who diagnoses your needs and stays for the journey beats a vendor with a prettier demo.