HEAD OF AI DEVELOPMENT AT CALIBRATE

I explore what AI could do, then help build what it should do.

Backend developer by background. I help teams discover opportunities, build prototypes, shape architecture, establish development practices, and carry useful systems into production.

Core Focus

Strategic systems architecture for AI capability, production workflows, and reliable backend integration.

Opportunity discovery

Explore where AI can improve real work, then test the opportunity with focused prototypes.

AI development

Design and build reliable AI systems with thoughtful architecture, integrations, and production delivery.

Developer Enablement

Help developers adopt practical tools and practices that make AI-supported delivery sustainable.

Selected Work

Projects and work patterns across reliable AI systems, backend architecture, process redesign, and structured data.

VIEW ALL WORK
Some entries are anonymised where client confidentiality requires it. Others may reference public work directly. Each entry focuses on the system, process, and architectural patterns behind the work.
Flagship case studyAI-enabled process automation

Reducing manual work in bike leasing

An anonymised Belgian bike-leasing company needed to accept varied dealer quotations without shifting manual re-entry onto customers or employees. The workflow now supports thousands of orders, with more than nine in ten accepted without further correction.

The challenge

Different PDFs, pricing rules, VAT, discounts, and line items had to become a usable draft order.

The lesson

AI is most useful when interpretation, checks, review, and system ownership stay connected.

Read the case study
Illustration of varied dealer bike quotations being interpreted into a draft bike-leasing order.
Process, not magic

How I work / Principle 01

AI should not guess business logic.

Probabilistic systems are powerful for interpretation and generation. Business-critical decisions should still rely on structured data, deterministic tools, controlled workflows, and human judgement.

  1. 01Structured data beats unstructured chaos
  2. 02Deterministic tools should handle correctness
  3. 03Human-in-the-loop is a strength
  4. 04Backend systems remain the source of truth

The work above shows what I build. This is the principle I bring into it.

Next: About me
Portrait of Leander Colpaert.
About me

Background

From backend development to AI leadership.

I spent years building backend platforms, integrations, structured content systems and business logic before moving into AI leadership. Today, I lead the technical side of AI development: exploring opportunities, building prototypes, shaping architecture, evaluating tools, establishing development practices and helping teams carry implementations into production. That background lets me move between the creative possibilities of AI and the engineering work needed to make them real.

August 2026—PRESENT

Head of AI Development

Technical leadership and delivery

Technical leadership, architecture, prototyping, developer enablement, tooling evaluation, development practices, integrations, and delivery.

January 2025—August 2026

Head of Artificial Intelligence

AI strategy and technical execution

Broader work across AI strategy, opportunity development, presentations, adoption, and technical execution.

January 2021—April 2026

Drupal Developer / Tech Lead

Backend platforms and technical leadership

Backend platforms, integrations, structured content, business logic, and technical leadership.

READY FOR DEPLOYMENT

Let’s discuss your AI technical strategy.

I work with engineering leaders to move AI from experimentation to production.