Experience translated into practical relevance

An engineering team was experimenting with AI tools without coordination, and a manufacturing support function had critical knowledge trapped in a few specialists' heads.

Introduced AI-assisted development across the team — running internal craft days and playback sessions — and separately designed a knowledge-capture process that fed an integrated service-desk AI agent, from structured interviews through to a working retrieval pipeline.

Useful for organizations that want AI adoption to become a responsible daily practice with measurable delivery impact, not an isolated experiment.

Business users depended on developers for routine configuration changes, creating constant interruptions and a bottleneck on delivery capacity.

Helped create a self-service back-office portal that gave operational users direct control within clear system boundaries, covered by integration tests — freeing significant developer capacity over time.

Relevant when a workflow needs to reduce handoffs while preserving reliability and appropriate control.

Business-critical factory operations depended on dependable automation and connections with external carrier systems.

Led vendor selection and a third-party carrier integration, migrating shipping operations off legacy systems with zero downtime — factories continued producing and shipping orders throughout.

Relevant when a proposed AI or automation capability must coexist with established systems and consequential operations.

Financial, payment, and energy-sector environments required technical change to respect strong operational and compliance constraints.

Rewrote a payment engine in a regulated financial domain — cutting processing issues by 95% — and later architected integrations in the regulated Dutch energy sector, where traceability and correctness mattered.

Relevant for businesses that need innovation without treating security, quality, and governance as afterthoughts.