The tasks people tried went from about 27 minutes to about 18 on average (33% less). An estimate from the time each task takes and the verdict of the person who tried it.
59tedious tasks put in2.3 per person
23tasks tried with AI on the spot39% of those put in
26/26judged “can do” or “partly” by the person who triedNone “too hard for now”
4/5teams got bingo
9tasks solved by asking another teamTeaching across departments
29things to try tomorrowSet by 18 people
In their words
“Being asked questions while working out how to ask the AI helped me sort out what I most wanted to improve in this task.”
“It pulls the day’s requests together in one go, so I don’t have to read through mail from every department.”
“Giving more detailed instructions made my own thinking clearer.”
01
Generative AI adoption that sticks
Not stopping at rollout: training and workplace experiments until AI is built into daily work and stays in use.
Corporate
Related serviceDesigning work and AIAI, DX & AX talks & training
02
AI talks and training for executives, managers and teams
Layered talks and hands-on training that bring it down to “how do I use this in my job”.
ExecutivesManagersA major power utilityA real estate companyand more
Organisation
Related serviceAI, DX & AX talks & training
03
Designing and running in-house academies and DX talent programmes
Learning designed as a system that keeps running inside the company, not a one-off event, and running it too.
Learning / Org development
Related serviceAI, DX & AX talks & training
04
Problem-solving and cross-boundary learning with local companies and learners
Programmes where learners and the workplace solve real company problems together.
Region / Education
Related serviceAI, DX & AX talks & training
05
Planning and building workflow apps and AI prototypes
Tools that start from what’s tedious on the floor, built small, tried, and grown in use.
Operations / Prototyping
Related serviceIn-house app buildingDesigning work and AI
06
Writing and research on organisations and people in the age of AI
Putting what practice reveals into words, and feeding it back into practice.
Research / Writing
We don’t measure results by how much we built. What matters is that the change keeps going afterwards.
OD APPS
Apps that support change in organisations.
Karhu Lab turns organisation-development know-how into apps of its own.
People and AI, people and people, work and technology.
The apps make those relationships visible, spark dialogue and turn it into action. We keep improving them in real use.
OD app | Workshop
AI WORK BINGO
An AI workshop that starts from the tedious work.
AI training often ends at “impressive”, and nothing changes on the floor. AI WORK BINGO runs a workshop that starts not from how to use AI, but from each participant’s own tedious tasks.
The tedious tasks people put in become the squares on their team’s bingo card. Try one with AI and it clears; a full line is bingo. Each person leaves with a take-home sheet, and the organisation gets a results report.
It is designed by combining an organisation-development view with behavioural economics. The outer squares hold other teams’ tasks and only open once you go and ask the person who posted them, so conversations across departments happen naturally.
AI sorts each tedious task into six kinds and rates how hard it is
Open a square and the request to the AI is already written: no prompt know-how needed
The venue screen shows every team’s bingo card live
No names in the reports, so people can be honest about what is tedious
