Take the assessment: Online AI Readiness Assessment
Prefer a working-session format? Download the AI Readiness Assessment PDF
AI is already showing up across the enterprise. Teams are testing tools, building prototypes, experimenting with new workflows, and exploring ways to improve productivity, decision making, and customer experience.
But activity is not the same as readiness.
Many organizations are moving quickly with AI, but still lack the structures needed to scale it responsibly. Leaders may not have a clear view of what is happening across teams. Business and IT may not be aligned on ownership. Experiments may not have a path to production. Employees may be curious but unsure how AI will change the way they work.
That is where AI readiness matters.
Before organizations can scale AI, they need to understand whether the right conditions are in place to turn scattered experimentation into meaningful business impact.
At Treeline, we look at AI readiness across five practical dimensions:
AI needs to be aligned to business outcomes, funded intentionally, prioritized clearly, and measured with metrics that matter. Governance should not slow teams down. It should help leaders make better decisions about where AI creates value, where risk exists, and where investment should go next.
AI cannot live only in the business or only in IT. Business leaders need to own the problems, use cases, and outcomes. IT needs to provide the guardrails, platforms, security, reliability, and scalability required to make AI work in the enterprise. The best AI operating models create partnership rather than handoffs.
AI requires testing, learning, and iteration. But experimentation only creates value when there is a clear way to prototype ideas, evaluate results, scale what works, and stop or redirect what does not. Without that discipline, AI activity can quickly become a collection of disconnected pilots.
AI adoption depends on people. Leaders need to create an environment where employees can raise concerns, share ideas, build new skills, and adapt to new ways of working. A culture that punishes uncertainty or protects old ways of working will struggle to capture AI’s full value.
AI transformation is not just a technology rollout. People need to understand why AI matters, how their work will change, what behaviors are expected, and where they can get support. Communication, champions, feedback loops, and leadership role modeling all help make AI stick.
To help leaders quickly understand where they are today, we created a short AI Readiness Assessment.
It takes just a few minutes and gives you a simple way to evaluate your organization across the five dimensions above. You can use it individually, with your leadership team, or as a conversation starter with business and technology stakeholders.
Take the online assessment here:
AI Readiness Assessment
You can also download the PDF version and complete it with your team in a working session.
Download the PDF version:
Download the AI Readiness Assessment PDF
The goal is not to get a perfect score. The goal is to create clarity.
Once you complete the assessment, look for the lowest-scoring areas. Those are likely the places where AI will get stuck if they are not addressed. For one organization, that might mean creating lightweight governance. For another, it might mean clarifying business and IT decision rights. For another, it might mean building a stronger change network so employees can adopt AI in their day-to-day work.
A simple next step is to ask:
AI readiness does not happen all at once. But knowing where to start can help your organization move from scattered AI experimentation to coordinated AI execution.
If this assessment sparks questions about how ready your organization is to scale AI, we’d welcome the conversation.