AI readiness is not a single technology score. An organization is ready for a specific initiative when it can name the outcome, provide appropriate evidence, assign accountable owners, manage the risks, and support the people who will use the result. In Siesta AI, record the tenant owner and plan in Organization General, then make delivery ownership explicit across teams, Data, and production agents.
Review Five Dimensions
| Dimension | Evidence to collect | Warning sign |
|---|---|---|
| Business value | Decision, delay, cost, quality, or risk the initiative should improve | The goal is simply “use AI” |
| Data | Approved sources, owners, quality checks, and access boundaries | The team assumes every file can be indexed |
| Delivery | Business owner, admin owner, pilot users, and available testing time | Ownership ends after configuration |
| Risk | Error impact, approval needs, privacy constraints, and rollback path | A fluent answer is treated as proof |
| Adoption | Target users, workflow fit, training, and feedback channel | Success is measured only by launch |
Readiness Questions
Before approving discovery, answer these questions:
- What decision or workflow should improve?
- Who is accountable for the business outcome?
- Which sources are authoritative, and who owns them?
- What could happen if the output is incomplete or wrong?
- Which actions must require confirmation?
- Who will test realistic cases before rollout?
- Which measurable signal will support a continue, adjust, or stop decision?
Classify the Starting Point
- Ready for discovery: the problem and owner are clear, but feasibility still needs evidence.
- Ready for a pilot: data, access, risk, and success criteria are defined for a limited group.
- Ready for rollout: pilot evidence is accepted, controls are configured, support is owned, and a rollback path exists.
- Not ready: the initiative lacks a real owner, approved sources, a testable outcome, or a safe operating boundary.
Do not use an average score to hide a critical gap. Missing ownership or uncontrolled access should stop the initiative even when other dimensions look strong.
Record the Decision
Capture the scope, owner, evidence, known constraints, risk level, next review date, and the decision: proceed, narrow, investigate, or stop. Before shaping opportunities, align stakeholders with Setting Realistic AI Expectations.