AI can create value when it fits the problem, workflow, evidence, people, and level of risk involved. Readiness work helps determine where AI is appropriate, what conditions need improvement first, and how adoption should proceed responsibly.
Find problems and workflows where AI could create meaningful value rather than adopting it simply because it is available.
Examine whether the data, processes, systems, and operating conditions can support the intended use.
Identify privacy, security, reliability, accountability, compliance, and other risks that require controls.
Clarify how work may change, who remains accountable, and what employees need to use AI effectively.
Test promising uses at an appropriate scale, learn from the results, and refine the approach before broader adoption.
Create practical priorities, safeguards, implementation steps, and measures for evaluating whether adoption is working.
AI readiness is an organization’s ability to determine where AI is appropriate and whether its data, workflows, people, technology, governance, and operating conditions can support its use.
Responsible adoption means introducing, testing, governing, and monitoring AI in ways proportionate to its risks and consequences while preserving appropriate human accountability.
Distinguish worthwhile opportunities from uses driven primarily by novelty or pressure to adopt.
Clarify the desired outcome before selecting a technology.
Determine whether the underlying information and processes can support reliable use.
Identify where judgment, accountability, relationships, or consequences require meaningful human involvement.
Examine privacy, security, reliability, bias, compliance, operational, and reputational concerns.
Define a proportionate pilot, evidence criteria, safeguards, and measures of success before wider adoption.
Begin with the organizational problem, decision, or workflow—not with a preferred AI tool.
Test whether AI produces useful, reliable results before expanding its role.
Keep responsibility for consequential decisions appropriately assigned to people.
Match oversight and safeguards to the sensitivity, uncertainty, and consequences of the use case.
Start with the problem, workflow, or opportunity. We’ll help determine whether AI is useful, what needs to be ready, and what responsible adoption should look like.