AI is business. Make it yours.

AI becomes a service-based business when individual applications are developed into standardizable services. While individual AI tools can certainly streamline day-to-day work, they do not automatically constitute a comprehensive AI strategy.

When multiple models, users, and corporate data come into play, additional requirements arise regarding access, data protection, cost control, and governance.

Here, you can help your customers automate processes, manage access to AI, implement governance, or ensure the secure use of AI on an ongoing basis.

By bundling these services and offering them on a recurring basis, you can expand your offering with scalable Managed AI Services and lay the foundation for a service area with long-term growth potential.

What matters most is not the technology itself, but the customer’s specific challenges. AI solutions are particularly relevant when:

• processes are repetitive or can be standardized
• a significant amount of manual work is required
• information needs to be made available more quickly
• the use of AI needs to be managed securely
• there is a lack of transparency regarding access, data, or costs

Depending on the needs, various technologies can be used, for example, for workflow automation, governance, controlled access to AI models, or the productive use of AI within the organization.

Above all, AI can help relieve the workload of MSPs in areas where there are many repetitive or information-intensive tasks on a daily basis.

Common use cases include, for example:

• case management and support
• documentation and knowledge management
• reporting and analysis
• research and information processing
• customer communication
• internal approvals and workflows
• recurring administrative tasks

Depending on the area of application, AI can support individual tasks or automate entire processes. This makes it possible to speed up processes, reduce the amount of manual work, and use existing resources more efficiently.

The more AI applications, models, and agents that are used, the more important it becomes to have clear rules governing how they may be used.

AI Governance creates a framework for this and helps organizations determine who is allowed to use which AI, what data it can access, and how its use can be monitored.

For MSPs and IT service providers, this presents an opportunity to develop AI Governance into a new service area. You can help your customers establish clear structures for AI usage, reduce risks, and meet data protection and compliance requirements.

For organizations in Sweden and the EU, the EU AI Act and the GDPR are particularly crucial when using AI. Depending on the nature of the business, NIS2 may also impose requirements regarding cybersecurity and risk management. Standards such as ISO/IEC 42001 for AI management and ISO/IEC 27001 for information security can also provide a structured framework for managing AI in a secure and responsible manner.

We help you find the right solutions for your business and your customers from among the wide range of AI technologies available.

That’s why we bring together solutions from specialized providers in a carefully curated AI portfolio, offering technical expertise and practical support to help you implement AI in your business.

We support our partners every step of the way: from understanding the possibilities of AI and selecting a solution based on your business needs to developing your own AI services. On the path to becoming a Next Gen MSP, AI thus becomes part of your own service offering and evolves from individual projects into a scalable, long-term business area.