CaseTalkAI Project Canvas

Structured planning for AI initiatives · Jan Zawadzki (2019)

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Business Value What business problem does this solve? What is the measurable ROI?
AI / ML Approach What AI/ML technique? Supervised? Generative? Rule-based? Agent-based?
Data What training data exists? Quality? Volume? Labeling requirements?
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Integration & Deployment How does the AI output integrate into existing systems and workflows?
Team & Governance Who builds it? Who owns it? What review processes exist?
Success Criteria How do you measure success? Define KPIs, accuracy thresholds, user adoption targets.
Risks & Limitations What can go wrong? Technical, organizational, data quality, adoption risks?
Ethics & Compliance GDPR, bias, fairness, transparency, explainability requirements.
Infrastructure & Stack Cloud? On-premise? GPU? MLOps platform? Monitoring?
Timeline & Milestones Proof of concept → Pilot → Production. Key milestones and go/no-go criteria.