Copilot Adoption Service (CAS) is continuous full support Copilot adoption and development service for organizations who want to offer the best employee experience
The Copilot Adoption Service (CAS) is designed to unlock the power and value of generative AI with Copilots. It offers continuous full support for organizations aiming to enhance employee experience through Microsoft’s generative AI tools. The service is structured around several key components:
-Maturity Check: This initial step assesses the organization's current level of AI skills and sets the stage for defining success metrics. -Success Metrics: These metrics ensure that progress can be measured and aligned with the organization's vision. -Change Path Planning: Based on the maturity level and success metrics, activities are planned to achieve the desired goals. -Change Path Activities: Delivered in six paths, these activities cover all dimensions of successful Copilot adoption and development. -Value Summary: This final step documents the findings and answers questions about the impact of Copilot, guiding the next cycle of adoption.
The service emphasizes continuous learning, innovation, and leadership growth. It also highlights the need for technical readiness and responsible AI usage. The adoption process is delivered in cycles, each lasting 16 weeks, and involves collaboration across various functions such as customer service, sales, finance, marketing, HR, legal, and IT.
The workshops are designed to provide comprehensive training and support for Copilot adoption. Here are example agenda for a multi-day workshop:
Week 1-2: Core team kick-off, maturity check, and success metrics setup. Week 3: Change path planning and responsible usage of AI end-user guide. Week 4-14: Weekly core team meetings, change communications support, and various training and coaching sessions. Week 15-16: Feedback survey launch, value summary validation, and next steps information.
The workshops cover a wide range of topics to ensure a thorough understanding of Copilot features and capabilities. Here are some of the key topics covered:
Coaching and Training Path:
Use Case Innovation Path:
Solution Development Path:
AI Leadership Growth Path:
IT Guidance Path:
Program Management Path: