LeverX AI Discovery Workshop

Guided by LeverX AI specialists, participants explore AI Discovery Cards and Microsoft technologies — including Azure OpenAI Service, Azure Cognitive Services, Microsoft Copilot, Power BI, and the Power Platform — to identify high-impact AI applications tailored to their unique business needs.

Through collaborative design-thinking exercises, participants evaluate potential AI use cases based on feasibility, business value, and innovation potential, ultimately building a clear and actionable AI implementation roadmap. The workshop bridges the gap between AI potential and real business outcomes, combining technical insight, business alignment, and creative exploration.

Workshop Format Duration: 3–4 hours Location: On-site at the customer’s offices Audience: Solution Professionals, Executives, Consultants, Digital Transformation Managers, Data & AI Professionals

Workshop Plan

1. Preparation: Identify key business objectives and challenges, collect process data, and highlight areas for innovation.
2. 3-4 hours workshop on exploring AI capabilities: -Your Status Quo: Collect insights into workflows and challenges.

• Explore AI Discovery Cards: Identify and map innovative AI applications.
• Create Use Cases: Combine ideas with technologies such as Azure Machine Learning, Azure Synapse Analytics, Power Platform, and Microsoft Copilot to define use cases that generate tangible business value.
• Evaluate and Prioritize: Assess the impact and feasibility using data insights from Power BI and through collaborative discussions.

3. Next Steps: Define a roadmap for proof-of-concept (PoC) development and outline implementation plans leveraging the Microsoft Azure ecosystem, Power Platform, and Copilot capabilities for accelerated deployment.

Results:

By the end of the session, participants will have:

• Defined and prioritized AI use cases aligned with business goals.
• Recommendations on suitable Microsoft Azure services and tools for implementation.
• A clear, actionable roadmap for proof-of-concept and enterprise AI adoption.