Automation or AI project viability
Estimate whether an automation or AI project deserves deeper assessment based on gains, costs and risks.
Outcome: ROI, payback, scenarios, risks and confidence.
The public library is deliberately limited: four core tools and one additional check on AI usage and data.
For project viability, AI use cases, document readiness and dependency mapping.
Estimate whether an automation or AI project deserves deeper assessment based on gains, costs and risks.
Outcome: ROI, payback, scenarios, risks and confidence.
Check whether an AI use case is useful, feasible and controllable enough to proceed.
Outcome: Value, feasibility, data, risks and next action.
Check whether a corpus is ready for a limited, controlled document AI assistant.
Outcome: Corpus quality, exclusions, risks and preparation required.
Identify redundancies, hidden costs, dependencies and re-entry across the digital environment.
Outcome: Critical dependencies and first simplification or reliability actions.
Use when AI is already in use and rules remain unclear.
Review existing AI usage when shared rules are still unclear.
Outcome: Uses, exposed data, responsibilities and risk points.