Dr. Wolff: AI access becomes a work routine

Problem

An account is not yet a capability

Many companies mistake AI adoption for rolling out a tool. At Dr. Wolff the next step was more demanding: the organization needed a shared level of working ability, reliable points of contact in the business units, and a platform that makes new possibilities available fast enough. Otherwise AI stalls exactly where individual power users are already ahead.

Solution

Platform, learning and multipliers as one program

We didn't separate the technical decision from enablement. Alongside the platform selection, we built a learning path for the broad workforce and a Pioneer program for the people who actually translate AI into real work in their teams. So we didn't just introduce a new system — we built an operating model for adoption.

• New platform — Selection and rollout of an environment that can respond faster to new models and concrete work cases.
• Shared baseline — Academy content for employees who should understand AI confidently and apply it in their own day-to-day work.
• AI Pioneers — Hands-on training for multipliers who answer questions, sharpen use cases, and guide teams through their first real use.

Impact

AI becomes less of a special project and more of a routine

The value isn't in the tool launch, it's in the repeatability: employees get a clear learning logic, business units have reachable points of contact, and good use cases move faster from idea to tested workflow. For Dr. Wolff this creates a foundation on which further assistants, automations and internal applications can grow not as experiments, but as part of everyday work.