AI Assessment — Data & AI Opportunity Evaluation on AWS

THE PROBLEM WE SOLVE

AI initiatives often stall because organizations cannot answer three questions:

Which use case should come first? Competing ideas arrive without a shared basis for comparing business value, technical readiness, and feasibility.

Is the data ready? Data sources, ownership, quality, and access requirements determine feasibility. Discovering gaps after implementation starts creates delays and additional costs.

How is the investment justified? Without credible estimates of costs, benefits, and effort, teams lack a business case for budget approval.

This assessment starts from the business problem and ends with a recommendation for action.

WHAT THE SERVICE IS

Morris & Opazo delivers a 4-week structured assessment to identify, prioritize, and validate Data and AI opportunities on AWS. Each week covers one phase, moving from discovery to an executive business case.

The outcome is a clear recommendation: which use cases to advance, what they require, and whether the expected value justifies the investment.

METHODOLOGY IN 4 PHASES

Phase 1 — Discovery Sponsor kickoff, stakeholder mapping, process and pain discovery, use-case capture, and review of systems and constraints. Deliverables: use-case backlog, pain and opportunity map, and prioritization criteria.

Phase 2 — Pattern Mapping Classification by AI pattern, assessment of data maturity, identification of technical gaps, and ranking by business value and feasibility. Deliverables: pattern map, opportunity scorecard, and technical and data gap analysis.

Phase 3 — Architecture Conceptual target architecture, recommended AWS services, build-versus-buy analysis, implementation phasing, quick wins, and effort estimates. Deliverables: conceptual AWS architecture, implementation roadmap, dependencies, and risks.

Phase 4 — ROI & Business Case Current-versus-future cost analysis, expected benefits, savings and efficiency modeling, business case development, and executive readout. Deliverables: ROI model, business case, executive recommendation, and final roadmap.

FOUR CORE DELIVERABLES

Prioritized Use-Case Portfolio Business pain points translated into ranked use cases, assessed against business value, technical readiness, and feasibility.

AWS Reference Architecture A conceptual target design with recommended AWS services and identified technical, security, and data gaps.

Phased Adoption Roadmap Implementation waves at 0-3, 3-6, and 6-12 months, including effort estimates, dependencies, risks, and quick wins.

Executive Business Case An ROI model, AWS cost estimate, and written recommendation ready for internal approval.

All four deliverables are presented in one executive readout, closed with customer sign-off.

WHAT IS IN SCOPE

• Sessions with business stakeholders, IT teams, and end users.
• Use-case discovery and prioritization.
• Data and AI pattern mapping.
• Data maturity assessment and technical gap analysis.
• Conceptual AWS architecture.
• Phased adoption roadmap with effort estimates and risks.
• ROI model, business case, executive readout, and sign-off.

WHAT IS NOT IN SCOPE

Production development, infrastructure implementation, workload migration, production integrations, ongoing operations or support, and changes to production environments. Implementation is a separate, subsequent engagement.

WHO IT IS FOR

Organizations exploring Data and AI on AWS that need a prioritized adoption plan supported by architecture, cost estimates, and a business case ready for internal approval.