Delivery capability
Using Microsoft Copilot effectively in the company
The productive use of Microsoft Copilot offers companies enormous potential: from increasing efficiency in daily work to the automation of complex tasks through individual Copilot agents. However, realizing this potential requires more than just technical activation. A clear strategic framework, trained employees, a secure data foundation and compliance with legal frameworks such as the EU AI Act are crucial.
The successful use of Microsoft Copilot begins with a structured analysis.
A targeted introduction of Microsoft Copilot in the company requires that fields of application, potential and risks are systematically clarified in advance. In a structured analysis phase, we work with specialist departments and IT to identify the relevant application scenarios, assess the maturity level of the database and define priorities. This creates a well-founded picture of how Copilot can deliver the greatest added value in the specific company context.
We will be happy to support you in initially recording your framework conditions and determining the next steps.
Acceptance within the company grows with empowered employees.
A key success factor in the introduction of Copilot is the qualification of employees. In tailor-made training courses and practical training formats, we familiarize employees with the functions, possible applications and limitations of Microsoft Copilot. The focus is not only on operation, but above all on the confident, reflective use of AI-supported assistance systems in everyday working life.
Individual copilot agents enable automation and productivity at a new level.
Standard functions are often not enough to fully exploit the potential of AI in a company. By developing and integrating individual copilot agents, tailor-made solutions can be implemented - whether for the automation of complex processes, the structured reading of information or the intelligent control of internal workflows. Our consulting services include design, prompting strategy and technical implementation.
Data security, transparency and compliance are prerequisites for productive use.
The productive use of Microsoft Copilot requires a high degree of data sovereignty. Questions of data classification, access control and integration into existing security guidelines must be taken into account, as must regulatory requirements - particularly with regard to the EU AI Act. We support you in setting up governance structures that create transparency, minimize risks and promote trust.
Paving the way for Copilot with a structured approach.
Our consulting approach follows a clear process: Analysis, piloting, enablement and scaling. We combine technical understanding with transformation expertise - to ensure that Microsoft Copilot is not only introduced, but anchored sustainably. The result: measurable added value for teams and the organization.
Start now: with an initial workshop on the co-pilot strategy.
An initial workshop offers the ideal introduction: together we clarify deployment scenarios, technological requirements, data protection aspects and initial implementation steps. Based on these results, a roadmap is created that provides orientation - for specialist departments as well as for IT and governance.
Artificial intelligence in the insurance industry
Insurers are investing more in technology than ever before. AI, cloud, automation: the ingredients for efficiency and scaling are there. And yet many promising projects remain stuck in the pilot phase. The question is no longer whether the potential is there - but why it often remains untapped. Those who solve this puzzle will create real competitive advantages in 2026.
AI-Native Foundation
This two-day basic AI training course provides individual knowledge and practical application of artificial intelligence. You will not only learn the language, prompting and how to use AI tools, but also how AI creates real value in the company.
Current innovations in the most frequently used AI tools
Do you use a range of AI tools in your daily work and find it challenging to keep track of the new features? Then take a look at our list of updates to the tools we use regularly.
Process optimization through AI
Making processes more efficient, reducing throughput times, increasing quality: this is how process optimization through AI works - with analysis, prioritization and implementation from a single source.
AI in project management
In a half-day remote workshop, we offer you the opportunity to develop concrete implementation options for the use of artificial intelligence (AI) in project management;
Your contact person::
Sascha Gessler
wibas GmbH
Sascha Gessler
Otto-Hesse-Str. 19B
64293 Darmstadt
+49 6151 503349-0
