AI is hard.

Most leadership teams already bought the tools. Almost none can say what those tools are allowed to do, who owns the result, or what is left after the vendor goes home.

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AI Enablement

The purchase was not the adoption.

We assess where the organization stands, build a roadmap for where it needs to go and plan for how the change will affect its people. Along the way, we train executives and teams and build what the roadmap calls for. The approach is human-first, shaped by Chris Kovac testing AI inside a business he ran before advising anyone else.

How we help

Every organization needs a different mix of the work below. Most engagements start with an assessment; some start with governance or training. The pieces are designed to work together.

Assessments and roadmapsWe find out where the organization stands with AI, then build a plan for where it needs to go. The work covers a scored current state assessment, a future state roadmap with steps for the first 30, 60 and 90 days, and a close look at the organization's human state: culture, workflows and change.AI governanceMost organizations are already using AI, whether or not anyone approved it. We build the guidelines and oversight that let people use it with confidence, from acceptable use policies and governance committees to shadow AI audits and human-in-the-loop standards.Training and workshopsHands-on training teaches teams what AI can do for the business and how to use the tools well. Workshops cover governance and security first, then prompting and practical use cases people can put to work that day.Executive coachingExecutives do not need to become AI practitioners, but they do need to be AI fluent. Coaching gives leaders ongoing time to build that fluency, work through decisions and lead the change inside their organizations.

AI engineering and buildsWhen a use case earns its place on the roadmap, we can build it. That includes AI agents, automations and workflow builds. A good agent gets a clear job, the context it needs and access to the same tools a person doing that job would use. We work alongside the engineers, architects and data teams already doing AI work inside the organization, on architecture as well as implementation.

The enablement practice

AI Governance

Use got there before permission.

In most organizations, employees are already using AI, whether or not it has been approved. kovac.ai helps leadership put guidelines and oversight in place, so people can use AI with confidence and the organization can manage the risk.

Our AI governance work covers acceptable use policies, governance committees, risk tiering of use cases, vendor and tool review, shadow AI audits and human-in-the-loop standards. It is available on its own or as part of the AI enablement program.

Governance

Speaking

A demo will not change the room.

Chris Kovac speaks to executives who have already sat through the pitch. The only useful outcome is something the room can put to work the same week.

Speaking

About

Chris Kovac

kovac.ai started with a skeptic. Chris Kovac spent roughly thirty years in marketing and technology, and when friends started talking about ChatGPT in late 2022, he thought artificial intelligence was the stupidest thing he had ever heard of.

What changed his mind was need. A key employee in the family's grass-fed beef business became ill and could no longer work, and the work still had to get done. The first real test was small: a blog post on the difference between grass-fed and grain-fed beef. ChatGPT came back with three paragraphs, and they were better than expected. Chris graded the output a B-plus.

About Chris

Contact

Say what is actually failing.

A few sentences is enough. What is already in use, what is not working, and who has to live with the decision. Every note goes to Chris Kovac, and he answers it himself.

Longer version, for later use

AI enablement

AI is hard, and most of the conversation around it makes it sound easy. Many organizations have bought AI tools without a plan for how they will be used, training for the people using them or guidelines for what is allowed. The result is uneven use, unclear returns and a lot of confusion. kovac.ai is a Kansas City AI consultancy that helps leadership teams work through it. We treat it as a business problem with people at the center, not a technology problem.

Our AI enablement program starts with an assessment of where the organization stands today. From there, we build a 30/60/90-day roadmap and look closely at how the change will affect culture, workflows and roles. We train executives to be AI fluent, train teams on the tools they have and build the agents and automations the roadmap calls for. Chris Kovac founded kovac.ai after 30 years in marketing and technology; he started as a skeptic and tested AI inside a business he ran before advising anyone else. That is why the work is practical, human-first and explained in plain language.

AI governance

In most organizations, AI use started before any policy did. Employees use personal accounts and free tools, departments ask for different platforms and AI features keep appearing in software the organization already pays for. That leaves sensitive information in tools nobody reviewed and AI-generated work going out without a second look. kovac.ai helps leadership teams put guidelines and oversight in place. The goal is for people to use AI with confidence while the organization manages the risk.

Our AI governance work covers six areas: acceptable use policies, governance committees, risk tiering of use cases, vendor and tool review, shadow AI audits and human-in-the-loop standards. Guidelines are set by leadership and applied by department, since each part of the business faces different risks. Policies are written in plain language for the people who have to follow them and are ready for review by legal counsel. Governance is available as a standalone engagement or as part of the AI enablement program.