AI Adoption · For COOs, HR Directors and operations leads

Your AI tools are deployed.
Behaviour hasn't changed.

The licences are paid. Two months later, most people work exactly as before. The adoption never happened. It just quietly didn't. The problem is rarely the tool. It's what people think the tool means for them.

Free. 25 questions, about 15 minutes. Personalized PDF report by email.

The problem

The tools changed. The way people work didn't.

The tools are deployed.

But nothing has changed.

Your team has access. The licences are paid. And yet most people do their work exactly as before.

The strategy is clear.

But execution breaks at the people layer.

The roadmap exists and the budget was approved. Somewhere between the boardroom and Monday morning, momentum disappears.

Transformation creates uncertainty.

Your best people are disengaging.

The ones with options start looking elsewhere when they feel unheard or left behind by a change nobody explained.

You've measured nothing.

So you can't prove anything changed.

Leadership asks for AI ROI. HR is asked for adoption numbers. All you have are attendance lists from workshops that faded by the following week.

About 70% of AI implementation challenges come from people and processes, 20% from technology and 10% from algorithms. BCG (October 2024).

What I look at

Three questions I ask before any AI rollout.

01

Is it safe to try?

Can people experiment, get it wrong and say so out loud? If not, they'll perform adoption without actually adopting.

02

What's in it for them?

AI can feel like a loss of control, of expertise or of meaning. Until someone answers that honestly, training won't stick.

03

How does each person take in change?

Four people can resist the same tool for four different reasons. One message to all of them convinces none of them.

Numbers show where. Conversations show why.

Who resists, and why

Resistance isn't one thing. In most companies it has three faces.

The Expert

Experienced people who built their value on knowing how things work. AI feels like it makes that knowledge cheaper.

What helps: a role in shaping how the tool is used, not another training session.

The Silent Sponsor

The owner or director who bought the tool and skipped the conversation with the team. People fill the silence with their own story.

What helps: a clear message about why, before anyone explains how.

The Squeezed Middle

Managers who get new accountability for AI results without new authority or support.

What helps: clear expectations from above and the space to say what isn't working.

Most companies have all three. The adoption plan has to speak to each of them differently.

How we work

Five steps. The first three are free.

01
Free · About 15 minutes

AI Readiness Snapshot™

25 questions across nine dimensions of AI readiness, from strategy and processes to people, governance and scaling.

02
Free · Straight to your inbox

Personalized PDF report

Your score, maturity level, critical readiness, strongest foundations, primary constraints and a 90-day direction.

03
Free · 30 minutes

AI Readiness Review

We go through your report together and test it against what you see in the organization.

04
Paid · scoped after the discovery meeting

Deep Discovery Assessment

The full picture: the AI Readiness Snapshot for your leadership team and middle managers, plus conversations with the people who will use the tools. You get an Adoption Map: where resistance sits, where your champions are, which of the three profiles dominates, and what to do first.

05
Project proposal

A 90-day adoption project

Built on what the Assessment found. Measure, change, measure again, with the same questionnaire at the start and the end, so you can show upstairs what changed. Formats: coaching for leaders, a one-day leadership workshop, work with middle managers on role-based AI workflows.

Delivered in English or Serbian. Online or in person.