AI in practice

Info Support helps organisations translate business challenges into AI functionality that is integrated into existing applications, data platforms, and business processes.

We support organisations from two perspectives: agentic business and agentic engineering.

New challenges thanks to AI

The real challenge of AI is determining where it structurally adds value within existing systems and processes. As soon as an organisation wants to seriously deploy AI, many new questions arise:

  • Where in our applications, processes, and products can AI actually deliver value?
  • How do we integrate AI models into our existing application landscape?
  • How do we make AI functionality reliable and testable in production?
  • What does AI mean for the way we develop and manage software?

We help you with these challenges from an agentic business or agentic engineering perspective.

Two perspectives

Agentic business

Info Support helps organisations translate business challenges into concrete AI solutions that are integrated into existing applications and processes.

Examples of AI applications we develop:

  • AI-assisted customer interaction – An AI assistant that answers customer questions based on internal knowledge sources.
  • Intelligent document processing – Automatically reading and processing contracts, forms, or emails.
  • Predictive analytics & forecasting – Predicting demand, consumption, or maintenance based on historical data.
  • AI-driven process automation – For example, automatically processing requests or mutations within business processes.
  • AI copilots in business applications – For example, an AI copilot that supports employees with analyses, reports, or complex calculations.

Agentic engineering

AI is changing not only what software can do, but also how software is developed. Development teams increasingly use AI to generate code, perform analyses, create documentation, and write tests.

Info Support helps organisations integrate AI responsibly and effectively into the full development process. We look not only at tooling, but at how AI becomes a structural part of engineering practice: from analysis and design to development, testing, and operations.

Examples of applications:

  • AI-assisted coding
    For generating and improving code based on existing codebases and architecture.
  • AI-supported testing
    For automatically generating and maintaining unit and integration tests.
  • AI-assisted documentation
    For automatically generating technical documentation and code descriptions.
    AI-supported analysis & design

Successful partnerships

Why choose Info Support?

100% Dutch

No foreign ownership or influence. Fully governed by Dutch law.

Expertise

Technical excellence combined with deep domain knowledge.

Guaranteed results

Results-driven. When we make a commitment, we keep it.

Financial strength

A profitable family-owned business since 1986. Your stable, long-term partner.

Architecture and governance by design

Clear frameworks and guardrails ensure that AI agents operate safely, predictably, and in compliance.

Proven in complex enterprise environments

Experience in complex and regulated environments, with organizations such as Enexis, Danone, ONVZ, and RDW.

Start the conversation about your AI approach:

Would you like to learn what we can concretely do for you in the field of data & AI? Then get in touch with us via the form below.

Joop Snijder

Head of Research Center