Implement AI

You know you need to do something with AI, but where do you start? I hear that question constantly. And honestly? It's a fair question. Because where are the real opportunities? Where do you make the biggest impact? And how do you make sure it goes beyond an experiment and actually delivers results?

My approach is no-nonsense and practical. No theoretical frameworks or thick reports that end up in a drawer. I work from results, not from hours. And I do what's needed, not what "sounds good".

I'm not an external advisor. I'm an entrepreneur who joins in. Who understands the agency model from the inside. Who combines strategy with direct execution. And who is always looking for waste and optimisation.

Milan van Bruggen

The trajectory: 6 months in 5 phases

A structured approach that combines quick wins with strategic long-term vision.

Kickstart & analysis phase

Month 1-2

What happens?

Kick-off with you and the team. Analysis of external and internal processes. Spotting waste and opportunities. Exploring and validating first AI applications.

  • Interview and analysis of current processes
  • Identifying waste and inefficiencies
  • Exploring and testing first AI applications
  • Impact/effort analysis for all opportunities

Output:

  • Improvement plan with impact/effort matrix
  • Priority list with quick wins and strategic projects
  • KPIs and targets for measurable results
  • Action plan for the coming months

Implementation & validation

Month 3-4

What happens?

Creating an action plan for AI/automation solutions. Working on solutions together with a developer. Adjusting the roadmap based on progress and learnings.

  • Developing and implementing concrete AI applications
  • Working on solutions together with a developer
  • Testing and validating first results
  • Adjusting roadmap based on progress

Output:

  • Concrete AI applications in development
  • Adjusted roadmap based on learnings
  • First results visible and measurable
  • Technical documentation and manuals

Training & knowledge retention

Month 4-5

What happens?

Training and handover to the team. Fine-tuning and optimising automations. First evaluation with you and the team to process feedback.

  • Practical training of the team on new tools and processes
  • Fine-tuning automations based on usage
  • Transferring and documenting knowledge
  • First evaluation with feedback

Output:

  • Team trained and working independently
  • Optimised processes and automations
  • First evaluation with feedback and improvement points
  • Training materials and documentation available

Monitoring & further development

Month 5

What happens?

Processing feedback from the evaluation. Second round of automation and optimisation. Monitoring results and impact. Evaluation towards completion.

  • Processing and implementing feedback
  • Second round of automation and optimisation
  • Monitoring KPIs and results
  • Evaluation towards completion of the trajectory

Output:

  • Improved and optimised processes
  • Measurable results and KPI reporting
  • Evaluation of impact and results
  • Preparation for handover

Completion & handover

Month 6

What happens?

Final presentation for you and the team. Advice for retention and further development. Handover of documentation and knowledge. Measuring and evaluating KPIs.

  • Final presentation with results and impact
  • Advice for retention and further development
  • Handover of documentation and knowledge
  • Measuring and evaluating KPIs

Output:

  • Final presentation for you and the team
  • Advice for retention and further development
  • Handover of documentation and knowledge
  • KPIs measured and evaluated
  • Plan for independent continuation
Start tomorrow?

How I like to work

Transparency matters to me. Here's what you can expect from working together.

Don't call me for

  • An AI Content Expert
  • Getting everyone on board
  • Putting IT on the map
  • Endless reporting
  • Building for the boardroom

Where I add the most value

  • Hands-on collaboration
  • A practical, no-nonsense approach
  • Focus on impact
  • Honest advice
  • Knowledge transfer

Two tracks, one goal

Quick wins & Standardisation

Optimising current processes with AI. Quick wins that directly impact your margin and efficiency. Results visible within 4–6 weeks.

  • Automating manual work
  • Accelerating internal processes and communication
  • More standardisation for scalability
+

Strategic growth

Thinking about new propositions and revenue models. Strategic choices that make your organisation future-proof. Moving with AI instead of being left behind.

  • Developing new propositions
  • Revising revenue models
  • Future-proof business model
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You won't miss the boat

You know exactly where to start. You grow with AI instead of being left behind. Moving forward with confidence.

  • Growth in your business
  • More enjoyment in your work
  • Higher quality

What I deliver

No advisory reports that end up in a drawer. Tangible improvements that make an impact.

Interviews & adoption measurement

Interviews + employee survey: mapping processes, bottlenecks, and AI adoption phase per team.

Top 5 initiatives & Impact/Effort

Brainstorm based on interview & survey input → prioritised top 5 + Impact/Effort matrix.

Gameplans & masterplan

A gameplan with timeline per initiative; one masterplan that brings everything together.

Implementation & measurements

Start and end measurement, advice per initiative on which to pursue, plus sessions for buy-in and training.

Milan van Bruggen

Why me?

Not just any advisor

But an entrepreneur who joins in

Understands the agency model

From the inside, through years of experience

Combines strategy with execution

Not just talking, but doing

Works from results

Not from hours, but from outcomes

Does what's needed

Not what "sounds good", but what makes an impact