Orivian Toolkit — orivian.ai/toolkit
AI Readiness Checklist
A practical checklist for deciding whether a workflow is ready for AI integration or needs cleanup first.
AI Integration·15–25 minutes
AI Integration15–25 minutes
AI Readiness Checklist
A practical checklist for deciding whether a workflow is ready for AI integration or needs cleanup first.
Best for
Businesses considering AI but unsure which use case is practical, safe, and worth starting with.
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Workflow readiness
- ✓The workflow is repeated often enough to matter.
- ✓The current process is understood clearly.
- ✓The desired output can be described in plain language.
- ✓There is a human review path for important decisions.
- ✓The workflow has measurable success criteria.
Data readiness
- ✓The needed information exists in a usable place.
- ✓The data is reasonably complete and current.
- ✓Access permissions are understood.
- ✓Sensitive information is identified before implementation.
- ✓The business knows what the AI system should and should not use.
Risk and oversight
- ✓The AI system will support people rather than make unchecked high-risk decisions.
- ✓There is a clear escalation path when the system is unsure.
- ✓Users understand the limits of the AI workflow.
- ✓There is a plan for testing outputs before relying on them.
- ✓The first version is narrow enough to evaluate safely.
Good first AI use cases
- ✓Internal knowledge assistant
- ✓Document review and summarization
- ✓Reporting explanation or analysis support
- ✓Customer inquiry triage
- ✓Workflow classification
- ✓Drafting support for repeated communications
Results
How to choose the first AI project
- Start with a workflow where the data is available and the risk is manageable.
- Avoid vague AI projects with no clear business outcome.
- Use AI where it reduces repeated work, improves decision support, or speeds up review.
- Keep humans in the loop for judgment-heavy or customer-sensitive workflows.
Related Orivian pages
Next step
Want help turning this into a working system?
Orivian can help prioritize the right workflow, dashboard, AI use case, or internal tool and turn it into a practical first version.