AI Solutions
We translate business challenges into AI solutions that run within existing applications, data platforms, and processes. These applications range from AI that supports to AI agents that independently execute tasks within processes.
You only extract value from AI by integrating it into your existing processes and systems. AI then not only supports but also independently executes tasks, often across multiple systems simultaneously, such as ERP, CRM, and data platforms.
Further AI integration is relevant for two types of organisations. Organisations that build AI solutions and need to set up integration correctly from the start. And organisations where teams are already experimenting with tools like Copilot Studio but are now struggling with integration, management, and scalability.
We translate business challenges into AI solutions that run within existing applications, data platforms, and processes. These applications range from AI that supports to AI agents that independently execute tasks within processes.
But more than technology is needed to successfully implement AI, such as adoption, integration, and trust. That is why we follow a structured approach:
Where does AI add value?
Which use cases are feasible and deliver impact?
AI is built and integrated. We ensure control, explainability, governance, and management.
Expansion to more processes, applications, and teams.
A complete and integrated portfolio of services, divided into seven specialized categories. From strategy to execution and management.
Our experts are happy to help you make the right choice.
Reliable data and models form the foundation. With data engineering, data science, and ML engineering, we ensure AI solutions are scalable and reliable.
We develop AI functionality and AI agents that execute tasks within processes, including modelling and explainability.
AI solutions run on scalable cloud and platform architectures, including AI platforms and containerisation.
AI is embedded in existing applications and workflows. With strong software engineering and integration, solutions connect to existing architecture.
We ensure control and manageability, with attention to security, monitoring, and governance within the IT landscape.
AI adoption is, at its core, an organisational transformation and requires clear direction. We establish governance in such a way that everyone knows who makes decisions, who executes them, and who provides oversight.
We offer various learning formats to gain and deepen knowledge about AI. Think for example of an AI escape room or AI training courses.
We translate business challenges into AI solutions that run within existing applications, data platforms, and processes. These applications range from AI that supports to AI agents that independently execute tasks within processes.
AI agents work independently and in parallel within your codebase. The real challenge is not tooling, but capability building: how do you organise collaboration between people and agents within a single delivery process? We train complete teams in a realistic setting, helping agentic ways of working take root consistently and at scale across your organisation.
Legacy systems pose a business risk: stalled innovation, scarce legacy expertise, and rising technical debt. With our agentic approach, we modernise complex legacy software up to 70% faster. From impact scans and feature extraction to controlled migration, your operations continue uninterrupted while you move towards a modern, scalable stack.
Low-code applications that once delivered speed are now becoming more expensive and harder to maintain. Licensing costs are rising, while custom development runs into platform limitations. Using AI agents, we analyse existing logic and modernise up to 70% faster towards a scalable stack. This helps you reduce dependency and restore flexibility, quality and room for growth.
Development teams are using an increasing number of AI models, frameworks and separate API keys. What started as innovation can quickly become fragmentation. A single central platform gives your teams flexible access to models from OpenAI, Anthropic, or local environments, while you retain central control over costs, security, and compliance. Scalable, manageable and without vendor lock-in.
AI is often introduced ad hoc: separate subscriptions, fragmented tools, and rising costs without clear oversight. With a single central platform, you can make AI applications widely available across your organisation while maintaining control over costs, security, and usage. Teams can work effectively with AI within clear guardrails, without becoming dependent on a single vendor.
Many organisations get stuck in experiments. Info Support ensures that AI becomes part of the application landscape. This means:
40 years of experience in business-critical software. Where others run pilots, we deliver scalable solutions.
The more autonomous the AI, the greater the impact of mistakes. We invest structurally in knowledge and quality through our own IT Academy. 200+ training courses, average rating of 9.3.
A partner that combines direction, execution, and assurance.
No vendor bias. Independent evaluation of tools and platforms. A Dutch family-owned company with European values around digital autonomy and data sovereignty.
Clear frameworks and guardrails ensure that AI agents operate safely, predictably, and in compliance.
Experience in complex and regulated environments, with organizations such as Enexis, Danone, ONVZ, and RDW.