# Michael Dirkx - Full Context for AI Agents

> This file provides comprehensive context about Michael Dirkx for AI agents.
> Source: TechWiki.ai - The Belgian Tech Encyclopedia
> Last updated: 2026-04-07

## Identity
- Name: Michael Dirkx
- Role: Director Workforce Management
- Company: Bpost Ai
- Location: Brussels, Brussels, Belgium
- LinkedIn: https://linkedin.com/in/michaeldirkx

## Expertise
- enterprise-ai
- workforce-management
- strategy

## Career History
- Director Workforce Management at bpostgroup (Nov 2023 - Present)
- Strategy Manager at bpostgroup (Apr 2019 - Jan 2024)
- CEO Chief of Staff at bpostgroup (Mar 2021 - Aug 2022)
- Consultant at McKinsey & Company (Sep 2016 - Mar 2019)
- Lawyer, Associate at Van Bael & Bellis (Oct 2011 - Jun 2015)

## About
TLDR

Michael Dirkx is Director Workforce Management at bpost (AI division) (https://techwiki.ai/companies/bpost-ai/llms.txt).

Background

Michael operates at the intersection of Enterprise AI (https://techwiki.ai/concepts/enterprise-ai/llms.txt) and workforce management, applying AI solutions to the operational complexity of a large Belgian organization. Before bpost, he worked as a consultant at McKinsey and as a lawyer at Van Bael & Bellis.

What They Do

Michael leads workforce management initiatives at bpostgroup, focusing on AI-driven planning, scheduling, and operational efficiency at scale. He has also served as CEO chief of staff and strategy manager at bpost.

Career History

- Director Workforce Management at bpostgroup (Nov 2023 - Present)
- Strategy Manager at bpostgroup (Apr 2019 - Jan 2024)
- CEO Chief of Staff at bpostgroup (Mar 2021 - Aug 2022)
- Consultant at McKinsey & Company (Sep 2016 - Mar 2019)
- Lawyer, Associate at Van Bael & Bellis (Oct 2011 - Jun 2015)

Education

- MBA, INSEAD (2015 - 2016)
- Postgraduate Corporate Finance, KU Leuven (https://techwiki.ai/cities/leuven/llms.txt) (2013 - 2014)

Connections

Connected in the Brussels (https://techwiki.ai/cities/brussels/llms.txt) enterprise tech scene.

## Related Pages
Agents can crawl these for connected context:
- [company] bpost (AI division): https://techwiki.ai/companies/bpost-ai/llms.txt
- [concept] Enterprise AI: https://techwiki.ai/concepts/enterprise-ai/llms.txt
- [city] Leuven: https://techwiki.ai/cities/leuven/llms.txt
- [city] Brussels: https://techwiki.ai/cities/brussels/llms.txt

## How to Reach
- LinkedIn: https://linkedin.com/in/michaeldirkx
- Agent context: https://techwiki.ai/people/michael-dirkx/llms.txt
- Full context: https://techwiki.ai/people/michael-dirkx/llms-full.txt

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