Make AI adoption practical, governed, and useful.
Liminality helps organizations identify where AI can create real leverage, what data and policies must be in place, and how to pilot without exposing the business to unnecessary risk.
What AI readiness covers
Where AI can help
Prioritize high-friction workflows, knowledge bottlenecks, service operations, and reporting gaps.
What must be true first
Evaluate data access, security, governance, model selection, human review, and success metrics.
How to pilot responsibly
Define a small-scope use case, controlled users, clear review gates, and measurable operational impact.
How to scale without chaos
Document standards, train teams, monitor usage, and refine governance as adoption grows.
The AI Readiness Assessment
A focused pathway for organizations that are curious about AI but unsure where to begin.
Discover
Stakeholder interviews, process review, current tool and data inventory.
Evaluate
Risk, governance, data readiness, workflow fit, and adoption complexity scoring.
Prioritize
Select 2–3 high-value use cases and define pilot requirements.
Roadmap
Sequence pilots, governance, enablement, and measurement.
Curious about AI, careful with the business?
That is exactly the right starting posture. Begin with the assessment.