AI in the Enterprise
Routine tasks?
Handled by AI.
Your team? Freed up.
From agentic AI to enterprise integration:
Measurably better
of Copilot users report significantly higher productivity in knowledge work across email, files and meetings.
faster on typical routine tasks that would otherwise generate a lot of manual rework.
of industrial companies use AI for monitoring, robotics and energy management in production.
return on investment from automation with the Microsoft Power Platform in enterprise projects.
AI in action
From enquiry to automation.
Scenarios showing how AI is used in day-to-day business.
Processing enquiries faster
Scheduling that fills itself in
AI solutions at a glance
Copilot, data protection, automation or training.
Choose the starting point that matches where you are.
Implementing AI in your organisation
With a system.
Establishing the starting point and identifying suitable use cases.
The use case is tested in everyday operation and made measurable.
Rollout, training and governance secure adoption in live operation.
→ Result: Copilot and agents are set up so that permissions, data boundaries and rules remain traceable.
Trusted by leading mid-market and enterprise organisations
Work with experts
IPI is the right fit for teams that want to use AI reliably in day-to-day operation.
Ready for the next step?
Let's discuss your AI strategy.
In an initial conversation, we’ll clarify your starting point, goals and suitable use cases.
Arrange an initial consultation
For anyone who doesn't yet have a clear picture of where AI can add value in their organisation.
Download the Copilot Manual (DE)
This guide draws on over 50 pages of project and rollout experience.
4 answers that make AI decisions easier
What is AI typically used for in organisations?
It’s often about finding information faster, supporting the creation and preparation of content, and automating recurring workflows across teams and departments.
What do we need in place for Copilot and AI applications?
What matters most is clean permissions, a reliable data foundation and clear rules on which content may be used. Without these, you get false results, follow-up questions and extra work.
What data can AI see, and how is access restricted?
AI can only see what it has technical access to — which is why permissions and data boundaries are the key lever. Access is controlled through roles, policies and the boundaries of your data sources.
How do you get started with AI in operation without unnecessary complexity?
Start with a clear use case and a defined scope, so that effort and impact remain manageable. Define upfront how you’ll recognise success — then the next step becomes clear.
