

Microsoft Copilot Consulting: Using Copilot for Companies Successfully and in Line with Data Protection
Many companies want to put Microsoft Copilot to profitable use quickly. But the AI tool carries data-protection risks and, without the right approach, quickly loses acceptance among employees. With our Microsoft Copilot consulting, AI expertise and our change approach, you avoid pitfalls, make your employees' work considerably easier and secure the success of the Copilot rollout for the long term.
Our Clients






























Microsoft Copilot Consulting – Our Solutions for You
The Microsoft Copilot rollout needs clear rules, sensible use cases and convinced employees. That's why our holistic M365 Copilot consulting puts data protection, value and acceptance equally in focus.
“We carefully weigh Copilot data protection and everyday efficiency against each other to ensure safe value.”
Michael Kempf, Partner at CPC

Your Benefits
“With easy-to-understand use cases we create experiences of success, dismantle reservations and raise awareness of data-protection pitfalls.”
Oliver Kleinknecht, Partner at CPC

About Us

consultants deployed worldwide for you.
projects delivered successfully for our clients.
focus on change management.
of the DAX40 companies trust us.


We're grateful for these awards
- CPC is a five-time No. 1 Hidden Champion for change management
- Year after year, brandeins/thema names us Germany's best management consultancy for change management
- We have been a Focus Top Consultant for many years
- Winner of the HR Excellence Award and the European Training Prize together with Deutsche Telekom and Lufthansa Technik
- We are No. 1 Great Place to Work in the 51–100 employees category and a Kununu Top Company.

Let's discuss
your project with us!
The first step is easy — and don't worry: we won't send you dull newsletters or annoying promotional emails. Instead, we focus on what matters: your change goals and how we can move your business forward.

Step 1
Call back or email.
Within 24 hours we get in touch with you, capture your requirements and arrange an appointment with one of our experts.
Step 2
Free initial consultation.
In a video call you explain your project and discuss possible solution scenarios together with our expert.
Step 3
You decide how to proceed.
Proposal, pitch or project kickoff? You set the next steps.
Questions and Answers
Microsoft Copilot consulting typically includes analyzing the IT and data landscape, defining Copilot use cases, reviewing data-protection and compliance requirements, and technical implementation. In addition, training, change-management measures and the development of a governance structure are offered to ensure safe and sustainable use of Copilot in the company.
Change management is a central component of every Microsoft Copilot consulting engagement. Introducing AI changes ways of working and requires acceptance among employees. Through targeted communication measures, training and pilot projects, the use of Copilot is encouraged. This ensures that the technology is not only implemented but also actively and effectively used.
Microsoft Copilot consulting usually begins with an analysis phase in which existing systems, data structures and processes are assessed. This is followed by the design of use cases and a rollout strategy. Copilot features are then implemented, employees are trained and change measures are carried out. Finally, success is measured against defined KPIs for continuous optimization.
Microsoft Copilot consulting is particularly worthwhile for companies that use Microsoft 365 and want to boost their productivity through AI. It is suitable for mid-sized companies as well as for large organizations with complex processes. Companies with a high documentation workload, many communication processes or the desire for automation and efficiency gains benefit especially.
Microsoft Copilot consulting enables a structured and secure introduction of AI technologies. Companies benefit from clearly defined use cases, higher efficiency in work processes and better use of existing data. In addition, risks relating to data protection and compliance are minimized, while acceptance among employees is increased through targeted training and change-management measures.















