GenAI Ideation Workshop
A focused two-hour session that helps your team move from GenAI interest to a clear list of use cases, priority pilots, and a practical action plan.
Why This GenAI Workshop?
Many teams know GenAI is relevant but face the same barriers. Ideas are scattered, priorities are unclear, and there is no shared view of where to begin. Without structure, conversations stay theoretical.
This workshop helps teams get past this stage. In a short time, your group will discover what is possible, what is practical, and what should move into pilot planning.
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Connect GenAI capabilities to real business priorities
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Evaluate data readiness and technical fit
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Identify use cases that align with project architectures
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Build clarity around what should happen next
Explore
Participants get a clear view of what GenAI can do, where it delivers results, and how hyperscalers supports enterprise grade adoption.
Focus areas:
- Industry trends and applied use cases
- Capabilities and limitations of GenAI models
- Principles for safe and responsible use
Ideate
Teams explore opportunities within their own business landscape.
Activities:
- Mapping friction points across functions
- Identifying tasks with high manual or cognitive load
- Capturing raw ideas across domains
Prioritize
Ideas are scored using a simple value and feasibility model.
This includes:
- Data quality and accessibility
- Technical complexity
- Regulatory needs
- Estimated impact
Align
The session ends with a defined direction.
Outcomes:
- Shortlist of 2 to 3 pilot ready ideas
- Ownership and accountability
- High level execution steps
- Success criteria and delivery timelines
Ideas are placed on a visual grid that highlights the most promising candidates.
Detailed Workshop Flow
Context Setting
Participants review the GenAI landscape, industry examples, and AWS capabilities. This builds a shared understanding and sets realistic expectations.
Use Case Exploration
Real cases from industries such as retail, BFSI, manufacturing, and healthcare are used to show how GenAI solves practical problems like document processing, recommendations, or process automation.
Guided Ideation
Teams brainstorm around their own workflows and customer journeys. Facilitators guide them to find opportunities that match both value and feasibility.
Prioritization and Scoring
Ideas are placed in four categories: quick wins, strategic bets, long shots, and experiments. This creates a structured picture of what deserves immediate focus.
Next Step Alignment
Participants define pilot ownership, data requirements, and initial architecture directions. This turns selected ideas into a ready to execute plan.
The COSMOS Framework
COSMOS provides the structure behind every workshop and pilot. It ensures ideas stay aligned with strategy, data, and technology.
Context
Understand the problem and goals.
Strategy
Assess feasibility and plan governance.
Orchestration
Integrate workflows and automate processes.
Opportunity
Identify value creation areas.
Model
Select or design the right GenAI models.
Scalability
Use AWS infrastructure to support growth and performance.
COSMOS keeps innovation anchored to requirements that matter.
What Happens After the Workshop?
Many organizations choose to continue with one of the following next steps:
Pilot design and build
Turn selected ideas into a working proof of concept on AWS.
Data and readiness assessment
Evaluate data sources, architecture gaps, and governance needs.
Blueprint and architecture development
Create reusable patterns for future GenAI projects.
FAQs
Yes. All prompts, examples, and use case templates are aligned with your domain.
Yes. The session can run virtually or in person.
No. The workshop still offers value, and outputs can guide your cloud planning.
Five to twelve participants is ideal for balanced input.
Most organizations begin planning within one to two weeks.