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AI readiness assessments and roadmaps in Kansas City
A roadmap written before anyone looks is a wish with a due date.
kovac.ai helps leadership teams find out where their organization stands with AI and build a plan for where it needs to go. The work has three parts: a current state assessment, a future state roadmap and a close look at the organization's human state. Together they form the core of our AI enablement work. We assess organizations across the Kansas City metro and nationally.
Why the assessment comes first
Many organizations are investing in AI they do not fully understand. They hear conflicting advice from vendors and from their own teams, and training has not kept up with the tools. None of that is intentional, but it leaves leadership making decisions without a clear picture. An assessment establishes where the organization actually stands, lowers the risk of spending in the wrong places and gives the plan a baseline to measure against. A roadmap built without one has much lower odds of working.
Current state assessment
We start with the leadership team, then meet with department heads as needed. We look at which AI tools are in use, which use cases are working, what guidelines exist, how prompts are shared and whether anyone can measure results. Everything is scored using a rubric we have developed over years of client work. The assessment is not a fixed checklist; if a governance gap shows up halfway through, we address it then. The result is an honest picture of where the organization stands before it spends more money on AI.
Future state roadmap
The roadmap turns the assessment into a plan, with specific steps and metrics for the first 30, 60 and 90 days. It is built on strategy but written for action, because change only happens when teams know what to do next. Early steps focus on strategic pods, the teams already getting results with AI, so their wins create momentum for everyone else. The roadmap is scored against the same rubric as the assessment, which lets leadership see progress instead of guessing at it. We check in along the way and adjust as the technology changes.
Human state
The human state is the people side of adoption: culture, change management, workflows and process. It looks at how teams work today and what will change as AI becomes part of that work. In some organizations it is a separate set of recommendations; in others it shapes the entire assessment and roadmap. Our approach is human-first. AI should take on repetitive work so people can spend their time on work that needs their judgment, and when a role changes, the people in it should hear about it early and have a path forward.
What the assessment looks at
- AI tools in use. Approved and unapproved tools, and how widely each is actually used.
- Use cases. Which ones are deployed, which are working and which are worth expanding.
- Governance and guidelines. What rules exist, whether people know them and where the gaps are.
- Prompts and shared knowledge. How teams write prompts and whether good ones are shared.
- Measurement. Whether the organization can tell if AI is producing results.
- Culture and workflows. How ready people and processes are for change.
What leadership receives
- A scored current state assessment. A clear baseline of where the organization stands.
- A future state roadmap. Steps and metrics for the first 30, 60 and 90 days, scored against the assessment.
- Human state recommendations. Guidance on culture, change management and workflows, or a human state lens applied throughout.
- Ongoing check-ins. Accountability as the plan is carried out and the technology changes.
It takes time from the client
Every organization is different, so every assessment and roadmap is built from scratch. The work is collaborative. It needs real time from the leadership team and department heads, and that time is what makes the plan accurate. An organization cannot hand over a few documents and receive a useful roadmap back; the plan is only as good as the conversations behind it.
Built by someone who started as a skeptic
Chris Kovac founded kovac.ai after 30 years in marketing and technology. He was skeptical of AI at first. Before he advised anyone else, he put it to work inside a business he ran, under real business pressure, to see what held up and what did not. What worked became the foundation for how kovac.ai helps organizations today. It is also why we keep the work practical and the language plain; leaders do not need a technical vocabulary to make good decisions about AI.
Based in Kansas City
kovac.ai is based in Kansas City and conducts assessments for organizations across the metro, including Overland Park, Olathe, Lenexa, Lee's Summit and the Northland. We also work with clients nationally, on site or remotely.
Frequently asked questions
What is an AI readiness assessment?
An AI readiness assessment shows where an organization stands with AI today. kovac.ai calls it a current state assessment. It reviews the tools in use, working use cases, guidelines, prompt practices and the ability to measure results, based on interviews with leadership and department heads. The results are scored so future progress can be measured against them.
Why should an AI assessment come before an AI roadmap?
An assessment should come first because a roadmap needs an accurate starting point. Without one, organizations tend to plan around assumptions, vendor advice or the loudest request. The assessment grounds the roadmap in how AI is actually being used and gives it a baseline to measure progress against.
What is included in a 30/60/90-day AI roadmap?
A 30/60/90-day AI roadmap lays out specific actions and metrics for the first three months of adoption. At kovac.ai, early steps focus on teams already getting results, and later steps extend what worked to other departments. The roadmap is scored against the current state assessment so progress can be tracked.
What is the human state in AI adoption?
The human state is how ready an organization's people are for AI, covering culture, change management, workflows and process. kovac.ai assesses it as its own set of recommendations or as a lens across the full assessment and roadmap, depending on the organization.
Who takes part in an AI assessment?
An AI assessment involves the leadership team first, then department heads as needed. The quality of the assessment depends on their time and candor, so kovac.ai treats it as a collaborative engagement.
Does an AI assessment include governance?
Yes. A kovac.ai assessment reviews existing guidelines, approved tools and gaps in oversight. Governance work that comes out of the assessment is built into the roadmap, or it can be delivered through a separate governance engagement.
Is the assessment customized?
Yes. Every kovac.ai assessment and roadmap is built for the organization. The scoring rubric provides consistency, but the questions, focus areas and recommendations reflect the organization's own situation.
Start with a conversation
The first step is a conversation about the organization, its goals and how AI is being used today. Fill out the form below, and we will follow up to find a time.