AI Readiness Scorecard
A practical scoring model for deciding which AI use case should be assessed, piloted, deferred, or rejected before budget is committed.
What the asset is
A structured scorecard that rates business value, process clarity, data availability, cloud readiness, security posture, governance needs, integration effort, stakeholder readiness, and pilot feasibility.
Who it is for
CXOs, operations leaders, IT/cloud leaders, data leaders, legal/compliance teams, and business owners considering a first AI initiative.
Business problem supported
Too many AI ideas compete for attention without a clear way to compare value, risk, data readiness, and delivery feasibility.
What the buyer learns
Which use case is ready, what gaps must be closed, what controls are required, and whether a 45-day pilot is realistic.
How DigiScience uses it
The scorecard anchors discovery, helps qualify opportunities, and becomes the first section of the readiness or pilot proposal.