Generative AI Use Case Discovery, ROI Roadmap & Prototype

Service Overview

The Generative AI Use Case Readiness & Feasibility Assessment helps organizations accelerate their journey to GenAI adoption by identifying high-value opportunities, validating data and compliance posture, and defining a clear path from idea to implementation.

Delivered by Dedicatted this assessment combines deep AWS expertise with proven frameworks to evaluate readiness across business, data, security, and technical integration dimensions.

Engagement Phases

• Use Case Assessment – Identify, prioritize, and define relevant GenAI use cases aligned with business objectives. Deliverable includes a ranked list of high-impact opportunities
• Data Readiness Assessment – Evaluate data structure, quality, and accessibility for AI workloads and RAG pipelines
• Compliance & Integration Assessment – Review data governance and security requirements, and assess integration feasibility with existing enterprise systems (e.g., CRM, ERP, knowledge bases, internal APIs)
• Business Case & ROI – Quantify potential value and create a business case with projected ROI and time-to-value
• Implementation Plan & Recommendation – Deliver a detailed roadmap for technical enablement and operational rollout
• Prototyping (Optional, 1 Week) – Build a quick POC to validate use case feasibility using AWS Bedrock, Agents for Bedrock, or SageMaker

Key Deliverables:

• Use case inventory and prioritization matrix
• Data and integration readiness scorecard
• Compliance and security checklist
• Feasibility and ROI model
• Implementation roadmap and AWS service mapping
• Optional working prototype

Ideal For: Organizations seeking to explore, validate, or scale Generative AI solutions on AWS—whether for customer service, content generation, document analysis, knowledge automation, or industry-specific use cases