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Process & productivity

AI Assistant
for Knowledge Workers

The technology was ready in three weeks. Adoption took five months. That ratio is where almost every business case falls apart.

Sector: Process & productivity Service: Fractional AI Lead Duration: 6 months Year: 2026

Proof in numbers

3 hrsper person per week recovered
68%weekly active users
4core scenarios instead of open chat
6months to stable adoption
2features deliberately not built

AI in Europe

European brands already running AI in production.

Not my clients. Examples of what happens once AI moves past the pilot stage.

  • Sweden

    AI customer service assistant

  • Germany

    Fashion assistant for product advice

  • Investment firm

    AI strategy and use-case portfolio

  • Netherlands

    AI Trip Planner for travel planning

  • Germany

    Industrial Copilot for engineering

  • Enterprise retailer

    AI-driven vendor selection

  • Sweden

    AI DJ and personalized playlists

  • Germany

    Generative voice assistant in the car

  • International manufacturer

    AI roadmap and leadership

  • Netherlands

    Generative chatbot for customer queries

  • France

    Beauty Genius: personalized advice

  • Financial services firm

    KYC accelerated with AI document analysis

  • Germany

    Joule: copilot in business software

  • France

    Hopla: grocery shopping assistant

  • SaaS scale-up

    AI readiness assessment

  • Netherlands

    AI-driven payment optimization

  • Netherlands

    AI in medical imaging

  • Professional services firm

    Internal AI assistant for knowledge workers

Dave Willemstein, Independent AI Advisor
vertrouwen,
ervaring, impact ↓
Independent No vendor bias Senior only
20+ jaar ervaring
Focused on value
No hype
real impact

Situation

A professional services firm with around four hundred knowledge workers gave everyone access to an AI assistant. After three months, 11% used it weekly. License costs kept running, and the promised productivity gain was nowhere to be found in the numbers.

Challenge

The tool worked fine. The problem was that "you can use it for anything" means, for most people, that they do not know where to start. An empty input box is not a workflow. And the people who did use it did not share how, so no habit spread through the organization.

Approach

We moved away from "assistant for everything." In working sessions with four teams we identified the tasks that actually consumed time: searching through files, drafting reports, rewriting quotes to a client’s context, and finding internal knowledge. For each of those four scenarios we built a ready-made starting point, embedded in the tool where the work already happened.

Decision

Two requested features were deliberately not built: automatic client correspondence and support for performance reviews in personnel files. The first because of reputational risk, the second because of employment-law sensitivity. That choice was documented along with the reasoning, so it would not resurface every quarter.

Result

Weekly active use grew from 11% to 68%. A time measurement across two representative teams showed an average of three hours per person per week recovered, concentrated in the four scenarios. That time was not cut but redirected to billable work, which is what finally made the business case add up.

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