A structured 5-day assessment to evaluate readiness, identify opportunities, and define an Azure-aligned AI roadmap.
Assessment Focus Areas Business Alignment - Clarify goals, KPIs, and value drivers where AI accelerates impact.
Use Case Identification & Appraisal- Apply Kellton’s use-case design framework to define business problems, solution paths, feasibility, and benefits.
Data Readiness Assessment- Evaluate data sources, quality, governance, integrations, and platform maturity.
AI Governance Review- Understand requirements around privacy, safety, transparency, bias, TRiSM, and responsible AI.
Azure Technology Mapping- Fit-for-purpose alignment with Azure AI Studio, OpenAI, Machine Learning, Cognitive Search, Fabric, Synapse, and more.
5-Day Methodology Discovery & Pre-Sales- Understand strategic priorities, architecture, and expectations.
Assessment Builder- Tailor evaluation to your business model, sector, and constraints.
Preparation- Define scope, stakeholders, and required technical/data access.
Workshops- Conduct deep dives on process pain points, data challenges, and AI opportunities.
Technical Discovery- Analyze current cloud/data landscape for enablement.
Use Case Prioritization- Map use cases by value, cost, feasibility, and readiness.
Outputs & Delivery- Present actionable recommendations and a 90-day MVP roadmap.
Deliverables AI Opportunity Scan Report- • 3–5 prioritized use cases • Value, feasibility, and effort analysis • Data, people, and process impact assessment
Business Case Summary- ROI modeling, adoption pathways, and risk considerations.
Azure Technology Alignment Assessment -Recommended architecture, accelerators, and service mapping.
Next-Step Implementation Plan- 90-day MVP roadmap including team roles, timelines, and platform design.