Assess the operating reality
Review goals, repetitive work, current tools, decision pressure, data sensitivity, and staff capacity.
AI readiness assessment for nonprofits
A focused executive assessment that turns scattered experimentation into a practical view of your nonprofit’s workflows, data practices, risks, governance needs, and best next move.
The direct answer
An AI readiness assessment examines whether an organization has the workflows, information practices, leadership alignment, safeguards, and staff capacity to use AI responsibly. It identifies where AI can reduce real operational friction, where it would add risk, and what should happen first.
AI readiness is not about how many tools a nonprofit uses. It is whether the organization can turn a useful experiment into a safe, repeatable way of working.
What the engagement includes
Best for executive directors, leadership teams, and boards that need a clear starting point before approving tools, training, or a larger implementation.
How the work moves
Review goals, repetitive work, current tools, decision pressure, data sensitivity, and staff capacity.
Score potential use cases against value, feasibility, human oversight, privacy, and adoption requirements.
Receive a prioritized report that names what to test, what to protect, and what not to automate yet.
Who this is for
Questions leaders ask
Readiness shows up in five places: a clear operational problem, usable information, named ownership, appropriate safeguards, and enough staff capacity to adopt a new workflow. The assessment looks at all five rather than treating tool access as readiness.
It includes a 90-minute executive conversation and a written report covering priority workflows, operational opportunities, risks, governance needs, and recommended next steps.
LUR Growth’s AI Readiness and Operational Opportunity Assessment is $2,400. A larger implementation is scoped separately only if the findings support it.
The $2,400 assessment is a standalone engagement and is not automatically credited toward a later implementation. If a proposal includes a credit, the amount and deadline will be stated in writing before your organization commits.
No. The quality, location, access, and sensitivity of your information are part of what the assessment examines. You do not need to clean everything before you know what the first use case requires.
Only when a tool recommendation follows from a clear workflow and risk requirement. The report starts with the work and the decision, not with a predetermined platform.
From Latoya’s perspective
Readiness is not a technology score. It is the organization’s ability to connect a tool to purpose, process, governance, and human responsibility.
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