The Knowledge Elephant’s AI readiness assessment helps organisations understand what is blocking an AI project from reaching production safely. Over two to three weeks, experts review your data, systems, cloud and team across six areas.
What the assessment covers
- Customer data separation: whether each customer’s data stays separate, including in AI search and integrations.
- Data and knowledge quality: whether AI relies on accurate, current information with clear ownership.
- Safe system connections: whether AI actions are limited, logged and reversible, with people approving risky steps.
- Testing and release: whether changes can be checked before customers see them.
- Cost and performance: whether costs can be tracked per customer and feature, with budgets and alerts.
- Security, risk and compliance: whether data flows, access, risks and accountability can be reviewed.
What you receive
You receive a readiness score with supporting evidence, risks ranked by impact, a target architecture, a 90-day roadmap with effort and cost estimates, and a plain-language summary for leadership.
The assessment starts with a 30-minute call with a founder. The call is described as having no obligation and no pitch deck.