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PANTA Knowledge Hub

This section brings together knowledge, frameworks, and tools for meaningful and human-centered use of AI based on insights from projects, research, and collaborations with our partners.

PANTA AI Canvas

The PANTA AI Canvas is a practice-oriented framework for developing AI use cases in a structured way. It helps teams turn ideas into tangible results. From concept to workflow.

Image by Luke Chesser

Goal

The Canvas helps identify AI potentials and implement them in a structured way.

Context

Used in workshops and projects, the Canvas brings together diverse teams.

Benefit

Instead of hype, the Canvas creates clarity, enabling focused AI projects with real impact.

Origin

The Canvas is based on practical experience, research, and real-world AI projects.

How does the PANTA AI Canvas work?

The PANTA AI Canvas provides a structured framework for planning the use of AI across an organization. It helps teams not only collect ideas but also evaluate them systematically: Where does real value emerge, which processes benefit from automation, and where are human decisions essential? By working collaboratively with the Canvas, teams can make potentials, risks, and responsibilities visible and compare projects effectively.

 

This allows AI initiatives to be assessed and prioritized based on impact, effort, and sustainability.

Overview of Steps

1. Process & Goal

Defines the scope of the project and clarifies why it matters.

 

Questions:

  • What happens regularly in this process?

  • Why is it important?​

2. Pain Points

Describes current challenges and inefficiencies.

Questions: 

  • Where is time lost?

  • Where do errors or friction occur?

3. AI or Automation Idea

Outlines how AI or automation could improve the process.

Questions: 

  • Which tasks could be simplified or accelerated?

4. Inputs & Outputs

Determines what information is needed and what results are expected.

Questions: 

  • Which data, documents, or interfaces are required?

  • What should be the final outcome?

5. Benefits & KPIs

Defines the added value and measurable success indicators.

Questions: 

  • How do we know the solution works?

  • Which metrics are relevant?

6. Risks & Safeguards

Assesses ethical, legal, and organizational aspects.

Questions: 

  • Where do potential risks exist?

  • How can fairness, data protection, and transparency be ensured?

7. Responsibilities

Clarifies roles and ownership.

Questions: 

  • Who is responsible for this topic or process?

8. Priority

Helps rank projects by relevance and feasibility.

Questions: 

  • How important is this topic right now?

  • When should it start?

9. Next Steps

Outlines concrete actions for project initiation.

Questions: 

  • What are the next two to three steps?

10. Evaluation (Checklist)

Makes projects comparable through a unified assessment. A checklist matrix allows all ideas to be evaluated using the same criteria.

Questions: 

  • What are the levels of effort, benefit, data availability, and team motivation?

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