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Profitable Services

Arno Eussen is an entrepreneur and transformation leader with over 25 years of experience building, scaling, and exiting technology-driven businesses. He has successfully founded and sold multiple software and services companies and has a proven track record in transforming traditional organisations into scalable, data- and technology-driven business models.

Profitable Services

Vertical focus

The primary focus is on sectors where:

  • processes are complex
  • margins are under pressure
  • speed and operational efficiency are critical

In particular:

  • Fresh produce (AGF)
  • Floriculture / horticulture
  • Trade & supply chain-driven organisations
  • Wholesale / distribution
  • Manufacturing

These sectors are characterised by:

  • high error sensitivity (margin leakage)
  • heavily manual processes
  • limited digitalisation
  • fast decision-making at board level

Offering

In collaboration with Lleverage, Arno helps organisations realise concrete value from AI, not purely from a technology angle, but from a business impact perspective. His approach always starts with the business:

  • identifying margin leakage and inefficiencies
  • translating strategy into concrete use cases
  • prioritising based on impact and feasibility

From there, together with Lleverage:

  • AI use cases are defined
  • workflows are automated
  • AI agents are developed and implemented

Examples include:

  • order processing and error reduction
  • pricing and margin optimisation
  • supply chain decision support
  • automation of repetitive commercial processes

Way of Working:

  • Discovery & diagnosis — Analysis of processes, data, and bottlenecks
  • Proof of Concept (use case design) — Identification of high-impact AI applications
  • Build & implementation — Development of workflows and AI agents with Lleverage
  • Adoption & scaling — Embedding in the organisation and continued development

In this process, Arno acts as: a bridge between management and technology, a sparring partner and interim internal project lead, and the person accountable for results and implementation.

Case study

Reducing margin leakage in a trading organisation

Situation: A trading company in fresh products was experiencing structural margin losses due to:

  • manual order processing
  • errors in pricing and agreed terms
  • lack of visibility into deviations

Approach:

  • Analysis of the order-to-cash process
  • Identification of the primary leakage points (pricing, data entry, deviations)
  • Development of AI-supported controls and workflows

Solution:

  • Automated validation of orders and prices
  • Alerting on deviations
  • Dashboard for real-time margin visibility

Results:

  • Significant reduction in errors
  • Improved margins
  • Reduced reliance on manual controls
  • Faster decision-making

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