Want AI that actually helps people work better?
Then it’s time to bring some intention to how AI is used in your company.
Because yes, AI is changing work. Fast. Faster than most organizations can update their processes, calm their Slack channels or decide who is actually allowed to use what. New tools create new opportunities. Lovely. But they also create new questions: Who is responsible? What does “good enough” mean? Which workflows still make sense? Where does quality get checked? And how do we make sure AI helps people do better work - instead of quietly adding one more thing everyone has to figure out on top of everything else?
Our human- and workplace-centered AI Audit helps you understand how AI is already shaping work in your organization. Where it creates value. Where risks emerge. Where confusion gets in the way. And what needs to happen next, so AI becomes a useful part of everyday work.
AI Audit: Establishing the Foundation
Goal: Understand how AI is already affecting your work - and where the opportunities are.
We start by mapping the visible and invisible ways AI is already showing up in your organization. We look at both the official rules and process, but also the habits and small workarounds people build when official systems do not quite match everyday reality.
We do not just look at what works and what does not. We look for the places where change could actually start moving. It is part expert review, part pattern hunt, part reality check – and usually more revealing than expected.
Adding Research Depth
Goal: Find the AI opportunities that are already hiding in your workday, your workflows and your data.
We dive deeper into research by talking to employees, observing real tasks (that could be already aided by AI or not) and looking at how AI is actually used in practice. This sheds light into the gap between expectations and everyday reality – and uncovers hidden needs, risks and opportunities that are easy to miss from the inside. We find opportunities the team is already thinking about, and uncover the repetitive tasks that are prime candidates for AI support.
From the other side, we supplement the human experiences with your unique business case – what data do you have? What data could augment this? We bring in our data-experts to look at the data, combine it in unexpected ways and find the potential that exists in your data.
Less guesswork. More reality.
Co-Creating Resilient Strategy
Goal: Change AI from scattered experiments into a clear way of working.
Based on the audit and the research, we develop practical AI strategy together with your organization. Not by throwing a generic framework over everything, but by translating the specific patterns of your workplace into guiding principles, workflow recommendations, responsibilities, learning needs and clear rules for everyday use.
This is where our secret sauce comes in: we combine human-centered research, product thinking and organizational design to make AI strategy feel less like a policy document and more like something people can actually use.
The result is a strategy your teams can actually work with and a clear sense of what should happen next
Success Story
A small, quickly-growing software company was of course using AI across many different teams. But individual attitudes were complicated.
Did you find what you were looking for?
Then send us a brief message introducing yourself and describing your request.