The use-case-based AI transformation canvas is a strategic tool for organizations to identify and plan AI transformation initiatives by examining current setups and desired outcomes. It comprises sections that address job roles, performance metrics, required resources, and operational considerations to maximize the details of the transformation process. By utilizing this structured approach, companies can effectively navigate their AI initiatives to achieve significant value and impact.

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Berlin, Juni 2023
USE-CASE-BASED
AI TRANSFORMATION
CANVAS

2. The Use-Case-Based AI Transformation
Canvas is a strategic tool inspired by Alex
Osterwalder's Business Model Canvas,
designed to identify potential use cases
within companies that can be transformed
through the implementation of digital and
AI processes. This canvas aims to provide a
structured approach for organizations to
envision and plan their AI transformation
initiatives. By systematically examining the
current setup, desired outcomes, and the
transformation process, companies can gain
a comprehensive understanding of the
opportunities and challenges involved in
leveraging AI technologies.
INTRODUCTION
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3. Use Case / Business Case
Job Description & Pain before Transformation
Strategy & Tactics for Change Management Costs for Development and Maintenance
Job Description & Gain after Transformation
Required People, IP, Partners and Skills Implications on Processes, Activities or Routines
Required Data, Resources, APIs or Technology Operational, Regulatory & Ethical Considerations
Transformation Process Desired Outcome / After Transformation
Current Setup / Before Transformation
AI Vision (Transformation Cause & Goal)
Current Performance & KPIs
Transformation Results (Expected Bene
fi
ts)
Desired Performance & KPIs
Team / Project Owner Date / Version
AI Value Proposition / Impact
Use-Case-Based AI Transformation Canvas Tor
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Copyright 2023 by

4. Header
• Team / Project Owner: Identify the individuals or teams responsible
for driving the AI transformation project.
• Use Case / Business Case: De
fi
ne the speci
fi
c use case or business
case that will be the focus of the transformation effort.
• Date / Version: Record the date and version of the canvas for
tracking and documentation purposes.
Current Setup / Before Transformation
• Job Description & Pain before Transformation: Describe the existing
job roles, responsibilities, and challenges faced by the organization
before the AI transformation.
• AI Vision (Transformation Cause & Goal): Articulate the vision for the
AI transformation, including the purpose and desired outcome.
• Current Performance & KPIs: Assess and document the current
performance levels and key performance indicators (KPIs) related to
the use case.
Desired Outcome / After Transformation
• Job Description & Gain after Transformation: Outline the expected
changes in job roles, responsibilities, and the bene
fi
ts derived from
the AI transformation.
• Transformation Results (Expected Bene
fi
ts): Specify the anticipated
advantages and value that will be gained through the
transformation effort.
• Desired Performance & KPIs: De
fi
ne the desired performance levels
and KPIs that will indicate the success of the transformation.
Transformation Process
• AI Value Proposition / Impact: Identify the unique value proposition
of AI in addressing the use case and the expected impact on the
organization.
• Required People, IP, Partners and Skills: Determine the human
resources, intellectual property, partnerships, and skills necessary for
the successful implementation of the AI transformation.
• Required Data, Resources, APIs or Technology: Identify the data,
resources, application programming interfaces (APIs), or technology
required to support the AI transformation.
• Implications on Processes, Activities or Routines: Analyze the
implications of the transformation on existing processes, activities,
or routines within the organization.
• Operational, Regulatory & Ethical Considerations: Consider the
operational, regulatory, and ethical aspects that need to be
addressed during the transformation process.
Footer
• Strategy & Tactics for Change Management: Develop strategies and
tactics to effectively manage the change associated with the AI
transformation.
• Costs for Development and Maintenance: Estimate the costs
involved in developing and maintaining the AI-powered solution.
CANVAS SECTIONS
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5. 1. Start by gathering a cross-functional team responsible for the AI
transformation initiative.
2. Complete the header section, providing details about the team,
use case, and version of the canvas.
3. Proceed to
fi
ll in the current setup section, describing the existing
job roles, pain points, and current performance.
4. Move on to the desired outcome section, outlining the
transformed job roles, expected gains, and desired performance
levels.
5. Explore the transformation process section, evaluating the value
proposition, resources, technology, and impact on processes.
6. Consider operational, regulatory, and ethical considerations
associated with the transformation.
7. Conclude the canvas by developing change management
strategies and estimating development and maintenance costs in
the footer section.
8. Regularly review and update the canvas as the AI transformation
progresses and new insights emerge.
By following this structured approach, the Use-Case-Based AI
Transformation Canvas provides a comprehensive overview of the
current state, desired outcomes, and transformation process,
enabling organizations to effectively plan and execute their AI
initiatives for maximum value and impact.
PROCESS FLOW
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THANK
YOU.