AI Launchpad – 2-Hour Discovery Workshop (Azure AI)
A focused 2-hour AI Launchpad to help organizations identify, prioritize, and validate high-impact, actionable, Azure-ready business cases.
Organizations are eager to adopt AI—but often struggle to identify where AI will deliver real business value and how to operationalize it on Microsoft Azure.
The AI Launchpad – 2-Hour Discovery Workshop is a fast, structured engagement designed to help business and technology leaders cut through the noise, identify high-value and feasible AI use cases, and align them with Azure’s AI ecosystem.
Delivered by Confiz’s AI Center of Excellence, this workshop blends business strategy, technical feasibility, and Azure-native AI patterns to move organizations from ideas to execution clarity.
What this offer includes
- Discover & Frame AI Opportunities: Identify AI and Generative AI opportunities aligned with business priorities, map pain points across operations, customer experience, finance, and analytics, and differentiate between automation, predictive, and generative AI use cases.
- Evaluate Feasibility on Azure: Assess data readiness and integration considerations, align use cases with Azure AI services including Azure OpenAI, Azure AI Search, Microsoft Fabric, and Azure Cognitive Services, and identify quick wins versus foundational initiatives.
- Prioritize for Business Impact: Rank use cases by business value, feasibility, and time-to-impact, highlight ROI drivers and key risk factors, and identify candidate use cases for Proof of Concept (PoC) or pilot.
Who should participate
- Business Leaders and Functional Heads
- CIOs, CTOs, and IT Leadership
- Data, Analytics, and AI Teams
- Digital Transformation Leaders
- Product Owners exploring AI enablement
Recommended participants: 5–10 stakeholders across business and IT.
Who will lead the workshop
- AI Strategy Expert:
○ Aligns AI opportunities with business objectives. - Azure AI Technical Specialist:
○ Evaluates feasibility, architecture, and Azure services. - Business Case Analyst:
○ Frames value, ROI drivers, and prioritization.
Agenda (2 hours)
- AI Landscape & Azure AI Overview (15 minutes):
○ Where AI delivers value today and an overview of Azure AI and Azure OpenAI capabilities. - Use Case Ideation (45 minutes):
○ Structured ideation across business functions and identification of candidate AI and Generative AI use cases. - Feasibility & Value Assessment (40 minutes):
○ Review of data, integration, and security considerations, Azure service alignment, and business value versus complexity discussion. - Prioritization & Next Steps (20 minutes):
○ Shortlisted and ranked AI use cases with recommended next actions such as PoC, pilot, or roadmap.
Deliverables (what the customer gets)
- Prioritized list of Azure-ready AI and Generative AI use cases
- High-level business case outlines for top candidates
- Data and technical readiness assessment summary
- Azure AI service mapping for shortlisted use cases
- Recommended next steps (PoC, MVP, or roadmap)
Key benefits
- Accelerates AI adoption with clarity and focus
- Aligns AI initiatives to measurable business outcomes
- Ensures solutions are Azure-native and scalable
- Reduces risk by validating feasibility early
- Converts AI exploration into an execution-ready roadmap
Post-workshop support
- Azure AI Proof of Concept (PoC)
- Gen-AI Accelerator or Pilot
- Full AI solution implementation
- Data readiness and Microsoft Fabric enablement
- Ongoing AI governance and scale-out
Why Confiz
Confiz combines deep business consulting expertise with hands-on Azure AI engineering to help organizations not just adopt AI, but realize measurable business value.
Our Gen-AI Center of Excellence has helped enterprises across industries move from experimentation to production-grade AI solutions on Microsoft Azure.