Before you fund the AI initiative, test it against organizational reality.
Many AI initiatives begin with a compelling use case, a promising demonstration, or a persuasive vendor proposal. The difficulty usually appears later.
The underlying business activity may be inconsistent. The data required may exist but lack sufficient quality, context, ownership, or permitted use. Operational responsibility may be unclear. Governance may exist as policy but not as working practice. A successful pilot may depend on conditions that will not survive production.
The result is often an initiative that is technically possible but organizationally unviable.
We begin with one defined AI use case and the business outcome it is expected to create, then identify what must be true for it to operate successfully:
This is not a generalized AI maturity assessment. It does not assign a broad score or compare your organization with an idealized model. Readiness is assessed against the actual requirements of the proposed use case.
It is also not a vendor assessment. A vendor can demonstrate that its technology works under defined conditions. The diagnostic determines whether your organization can create, govern, operate, and sustain the intended outcome.
A major AI initiative can consume substantial capital, delivery capacity, executive attention, and organizational credibility before its true dependencies become visible. This diagnostic surfaces them first. It can help you:
Should we proceed with this AI use case, and what must be true before we do?
Talk to us about running the AI Readiness Diagnostic for your organization.