AI
Discovery
Workshop
Discovery
Workshop
Identify opportunities to reduce costs,
boost efficiency,
and create new opportunities for your customers
Designed for
teams new to AI
No technical background needed.
actionable AI use case and next steps for implementation
Duration: 4 hours
Who: Company Management, Leadership roles
Who: Company Management,
Leadership roles
Participants: 2-6
AI
Discovery
Workshop
Identify opportunities to reduce costs,
boost efficiency, and create new opportunities for your customers
Designed for
teams new to AI
No technical background needed.
Walk away with clear, actionable AI use case and next steps for implementation
Duration: 4 hours
Who: Company Management, Leadership roles
Participants: 2-6
AI
Discovery
Workshop
Identify opportunities to reduce costs,
boost efficiency, and create new opportunities for your customers
Designed for
teams new to AI
No technical background needed.
Walk away with clear, actionable AI use case and next steps for implementation
Duration: 4 hours
Who: Company Management,
Leadership roles
Participants: 2-6
Process and Deliverables
1
2
3
Prioritized AI Use Case Portfolio
A clearly structured list of high-impact, feasible AI use cases tailored to the company’s operations (e.g., predictive maintenance, quality inspection, demand forecasting).
Includes:
Use case descriptions
Business value estimation
Technical feasibility rating
Implementation complexity
Prioritization matrix
AI Readiness Assessment & Roadmap
An evaluation of the company’s current AI maturity and technical readiness, followed by a step-by-step roadmap for implementation.
Includes:
Data infrastructure and quality analysis
Skills and organizational readiness check
Suggested tech stack and tools
6–12 month AI adoption plan
Business Case for One Pilot Use Case
A detailed business case for one selected high-priority use case, developed collaboratively during the workshop.
Includes:
Problem definition and KPIs
Expected ROI and risk factors
Required data, tools, and team roles
Next steps and pilot execution plan
Process and Deliverables
1
Prioritized AI Use Case Portfolio
A clearly structured list of high-impact, feasible AI use cases tailored to the company’s operations (e.g., predictive maintenance, quality inspection, demand forecasting).
Includes:
Use case descriptions
Business value estimation
Technical feasibility rating
Implementation complexity
Prioritization matrix
Prioritized AI Use Case Portfolio
A clearly structured list of high-impact, feasible AI use cases tailored to the company’s operations (e.g., predictive maintenance, quality inspection, demand forecasting).
Includes:
Use case descriptions
Business value estimation
Technical feasibility rating
Implementation complexity
Prioritization matrix
2
AI Readiness Assessment & Roadmap
An evaluation of the company’s current AI maturity and technical readiness, followed by a step-by-step roadmap for implementation.
Includes:
Data infrastructure and quality analysis
Skills and organizational readiness check
Suggested tech stack and tools
6–12 month AI adoption plan
AI Readiness Assessment & Roadmap
An evaluation of the company’s current AI maturity and technical readiness, followed by a step-by-step roadmap for implementation.
Includes:
Data infrastructure and quality analysis
Skills and organizational readiness check
Suggested tech stack and tools
6–12 month AI adoption plan
3
Business Case for One Pilot Use Case
A detailed business case for one selected high-priority use case, developed collaboratively during the workshop.
Includes:
Problem definition and KPIs
Expected ROI and risk factors
Required data, tools, and team roles
Next steps and pilot execution plan
Business Case for One Pilot Use Case
A detailed business case for one selected high-priority use case, developed collaboratively during the workshop.
Includes:
Problem definition and KPIs
Expected ROI and risk factors
Required data, tools, and team roles
Next steps and pilot execution plan
Process and Deliverables
1
Prioritized AI Use Case Portfolio
A clearly structured list of high-impact, feasible AI use cases tailored to the company’s operations (e.g., predictive maintenance, quality inspection, demand forecasting).
Includes:
Use case descriptions
Business value estimation
Technical feasibility rating
Implementation complexity
Prioritization matrix
Prioritized AI Use Case Portfolio
A clearly structured list of high-impact, feasible AI use cases tailored to the company’s operations (e.g., predictive maintenance, quality inspection, demand forecasting).
Includes:
Use case descriptions
Business value estimation
Technical feasibility rating
Implementation complexity
Prioritization matrix
2
AI Readiness Assessment & Roadmap
An evaluation of the company’s current AI maturity and technical readiness, followed by a step-by-step roadmap for implementation.
Includes:
Data infrastructure and quality analysis
Skills and organizational readiness check
Suggested tech stack and tools
6–12 month AI adoption plan
AI Readiness Assessment & Roadmap
An evaluation of the company’s current AI maturity and technical readiness, followed by a step-by-step roadmap for implementation.
Includes:
Data infrastructure and quality analysis
Skills and organizational readiness check
Suggested tech stack and tools
6–12 month AI adoption plan
3
Business Case for One Pilot Use Case
A detailed business case for one selected high-priority use case, developed collaboratively during the workshop.
Includes:
Problem definition and KPIs
Expected ROI and risk factors
Required data, tools, and team roles
Next steps and pilot execution plan
Business Case for One Pilot Use Case
A detailed business case for one selected high-priority use case, developed collaboratively during the workshop.
Includes:
Problem definition and KPIs
Expected ROI and risk factors
Required data, tools, and team roles
Next steps and pilot execution plan
Agenda
09:00
–
09:15
Welcome & Objectives
Introduction to the workshop, goals, agenda, and participants
12:30
–
13:00
Action Plan & Next Steps
Present roadmap and business case template. Define next actions (e.g. data audit, pilot scoping). Wrap-up and Q\&A.
10:00
–
10:45
Business Challenges & Opportunities
Interactive session identifying current operational pain points and efficiency gaps. Mapping business goals to potential AI applications.
11:00
–
11:45
AI Use Case Brainstorming & Prioritization
Collaborative ideation of AI use cases. Use prioritization frameworks (value vs. effort) to identify top 2–3 candidates.
09:15
–
10:00
Current AI Tools Landscape
Overview of practical AI applications in manufacturing (e.g., quality control, predictive maintenance, supply chain optimization). Industry case studies and trends.
11:45
–
12:30
Feasibility & Readiness Review
Assess data availability, tech readiness, and internal capabilities for selected use cases. Identify enablers and blockers.
10:45
–
11:00
Break
Short coffee break
Agenda
09:00
–
09:15
Welcome & Objectives
Introduction to the workshop, goals, agenda, and participants
09:15
–
10:00
Current AI Tools Landscape
Overview of practical AI applications in manufacturing (e.g., quality control, predictive maintenance, supply chain optimization). Industry case studies and trends.
10:00
–
10:45
Business Challenges & Opportunities
Interactive session identifying current operational pain points and efficiency gaps. Mapping business goals to potential AI applications.
10:45
–
11:00
Break
Short coffee break
11:00
–
11:45
AI Use Case Brainstorming & Prioritization
Collaborative ideation of AI use cases. Use prioritization frameworks (value vs. effort) to identify top 2–3 candidates.
11:45
–
12:30
Feasibility & Readiness Review
Assess data availability, tech readiness, and internal capabilities for selected use cases. Identify enablers and blockers.
12:30
–
13:00
Action Plan & Next Steps
Present roadmap and business case template. Define next actions (e.g. data audit, pilot scoping). Wrap-up and Q\&A.
Agenda
09:00 – 09:15
Welcome & Objectives
Introduction to the workshop, goals, agenda, and participants
09:15 – 10:00
Current AI Tools Landscape
Overview of practical AI applications in manufacturing (e.g., quality control, predictive maintenance, supply chain optimization). Industry case studies and trends.
10:00 – 10:45
Business Challenges & Opportunities
Interactive session identifying current operational pain points and efficiency gaps. Mapping business goals to potential AI applications.
10:45 – 11:00
Break
Short coffee break
11:00 – 11:45
AI Use Case Brainstorming & Prioritization
Collaborative ideation of AI use cases. Use prioritization frameworks (value vs. effort) to identify top 2–3 candidates.
11:45 – 12:30
Feasibility & Readiness Review
Assess data availability, tech readiness, and internal capabilities for selected use cases. Identify enablers and blockers.
12:30 – 13:00
Action Plan & Next Steps
Present roadmap and business case template. Define next actions (e.g. data audit, pilot scoping). Wrap-up and Q\&A.
Build with WAAT AI Labs
Get a free strategy session to explore
how we can support your AI and Data goals
Build with WAAT AI Labs
Get a free strategy session to explore
how we can support your AI and Data goals
Build with WAAT AI Labs
Get a free strategy session to explore
how we can support your AI and Data goals
Build with WAAT AI Labs
Get a free strategy session
to explore how we can support
your AI and Data goals
Build with WAAT AI Labs
Get a free strategy session
to explore how we can support
your AI and Data goals
Build with
WAAT AI Labs
Get a free strategy session
to explore how we can support
your AI and Data goals
Build with
WAAT AI Labs
Get a free strategy session
to explore how we can support
your AI and Data goals
Process and Deliverables
Business Case for One Pilot Use Case
A detailed business case for one selected high-priority use case, developed collaboratively during the workshop.
Includes:
Problem definition and KPIs
Expected ROI and risk factors
Required data, tools, and team roles
Next steps and pilot execution plan
Business Case for One Pilot Use Case
A detailed business case for one selected high-priority use case, developed collaboratively during the workshop.
Includes:
Problem definition and KPIs
Expected ROI and risk factors
Required data, tools, and team roles
Next steps and pilot execution plan
AI Readiness Assessment & Roadmap
An evaluation of the company’s current AI maturity and technical readiness, followed by a step-by-step roadmap for implementation.
Includes:
Data infrastructure and quality analysis
Skills and organizational readiness check
Suggested tech stack and tools
Prioritization matrix
AI Readiness Assessment & Roadmap
An evaluation of the company’s current AI maturity and technical readiness, followed by a step-by-step roadmap for implementation.
Includes:
Data infrastructure and quality analysis
Skills and organizational readiness check
Suggested tech stack and tools
Prioritization matrix
Prioritized AI Use Case Portfolio
A clearly structured list of high-impact, feasible AI use cases tailored to the company’s operations (e.g., predictive maintenance, quality inspection, demand forecasting).
Includes:
Use case descriptions
Business value estimation
Technical feasibility rating
Implementation complexity
Prioritization matrix
Prioritized AI Use Case Portfolio
A clearly structured list of high-impact, feasible AI use cases tailored to the company’s operations (e.g., predictive maintenance, quality inspection, demand forecasting).
Includes:
Use case descriptions
Business value estimation
Technical feasibility rating
Implementation complexity
Prioritization matrix
1
2
3