From Uncertainty to Confidence
Evaluate AI readiness before you invest
A weighted, traceable readiness score — grounded in the documentation your team already has.
|
Business value RAIDAR checks for a clear business case and a measurable outcome before you invest. |
Data readiness RAIDAR checks whether your data is complete, accessible and owned, and surfaces gaps and lineage issues early. |
|
Architecture fit RAIDAR checks whether the AI initiative will integrate and scale with your stack, and surfaces dependencies before you commit. |
Governance and risk RAIDAR checks compliance, explainability and risk steps, each with a named owner and an audit-ready record. |
What you get
All your initiatives evaluated at one time
Gaps found up front. Consulting evaluations typically
take four to six weeks.
RAIDAR scores every initiative. Your team prioritizes. Tonic3 guides you through it.
Recommendation
Invest, fix the gaps, or stop. Your team makes the call.
Gaps and action plan
Prioritized steps, each with a named owner.
Initiative comparison
Initiatives side by side with a consistent evaluation method.
Your team prioritizes the initiatives, with an audit-ready record behind it.
