Sold by: I CLOUD SEVEN
A structured half-day or full-day workshop facilitated by I CLOUD SEVEN's AI specialists and AWS-certified architects, designed to help executive and technical teams identify, prioritize, and roadmap their highest-value Generative AI opportunities on AWS. Participants leave with a scored use-case backlog, a validated architecture hypothesis for the top-1 or top-2 use cases, a Responsible AI risk assessment, and a 90-day implementation roadmap with business-case estimates.
Overview
Generative AI has moved from proof-of-concept to production imperative—but most organizations are still stuck at ideation. The bottleneck is not the technology; it is the structured process of translating business problems into viable AI initiatives, validating them against real AWS architecture constraints, and building the internal consensus to fund and execute. I CLOUD SEVEN's Generative AI Ideation Workshop solves that bottleneck in a single day.
The workshop is built on five years of Responsible AI delivery experience and the proprietary I CLOUD SEVEN AI Excellence Center (AEC) methodology. It combines design-thinking facilitation with live AWS architecture validation, ensuring that every idea generated during the session is immediately stress-tested for technical feasibility, data readiness, governance requirements, and cost. This is not a brainstorming session with sticky notes—it is a facilitated investment decision.
The workshop is available in two formats. The Discovery Sprint (half-day, 4 hours) is designed for organizations early in their AI journey or those seeking to add one high-impact use case to an existing roadmap. It produces a use-case shortlist, initial scoring, and one validated architecture concept. The full AI Ideation Workshop (full-day, 7 hours) is designed for organizations ready to build a multi-initiative AI roadmap. It produces a complete scored backlog of 5-10 use cases, two fully validated architecture hypotheses, a Responsible AI risk register for the top initiatives, detailed business-case estimates, and a 90-day implementation roadmap aligned to AWS services.
Both formats can be delivered on-site at your location or virtually. All participants receive the workshop output package as a structured deliverable within 3 business days of the session. This product relates to AWS services including Amazon Bedrock, Amazon SageMaker, Amazon Bedrock AgentCore, Amazon Quick Suite, Amazon Quick - AI Assistant, AWS Well-Architected Framework, AWS Data Exchange, Amazon Q, and the AWS AI Competency program.
WORKSHOP DELIVERABLE PACKAGE Within 3 business days of the workshop, participants receive:
● Scored use-case backlog (full format: 5-10 candidates; discovery: 3-5 candidates) in structured format ● Architecture hypothesis documents for the top 1-2 use cases, including AWS service stack, data flow, and integration points ● Responsible AI risk register mapped to LATAM regulatory requirements ● Business case estimates per validated use case: expected ROI, cost range, time to value ● 90-day implementation roadmap with defined phases, team requirements, and decision gates ● Executive summary presentation (5-10 slides) ready for board or leadership readoutHighlights
- Proprietary AEC Methodology | AWS AI Services Competency | Real Architecture Validation Our workshop is built on the I CLOUD SEVEN AI Excellence Center (AEC) framework—the same methodology we use to design and build AI Centers of Excellence for LATAM enterprises. Every use case generated in the session is immediately validated against AWS architecture best practices, data readiness criteria, and governance requirements by an on-the-floor AWS AI Services Competency architect.
- Responsible AI by Design | LATAM Compliance Mapping | Governance-Ready Output Every use case scored in the workshop is assessed against our Responsible AI risk taxonomy—covering bias, explainability, data privacy, regulatory exposure, and operational risk. The output package includes a Responsible AI risk register ready for your legal and compliance teams, mapped to LATAM regulatory frameworks (SFC, MinTIC, LGPD, and international standards including the EU AI Act).
- 90-Day Roadmap | Business Case per Initiative | Immediate Activation Path You don't leave the workshop with ideas—you leave with a funded roadmap. Each validated use case includes a business-case estimate (cost, expected ROI, time to value), a technology stack recommendation on AWS, a data readiness gap analysis, and a phased implementation plan. For clients ready to move immediately, we can activate an I CLOUD SEVEN engagement within days of the workshop.
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Post-purchase, a workshop coordinator contacts the buyer within 1 business day to schedule a 30-minute pre-workshop briefing. This briefing aligns on participant mix, business context, and any pre-read materials. For organizations seeking to continue from the workshop into implementation, I CLOUD SEVEN offers a direct activation path to the AI Excellence Center (AEC) engagement.
Support Email: comercial@icloudseven.com Website: