Data × AI initiative steering
A Masterclass for product managers, project leaders, steering groups, and tech- or business leads
shifting AI projects into practices.
Taking a Data×AI initiative from pilot to normal practice is 20% BUY and 80% MAKE. Setting up your steering group and their ways of working for smooth flow becomes critical.
+ Sharing and networking
Location in Stockholm:
Sturegatan 15 Möten och Event by Hantverket
2026-05-29:
08:00-12:00 including sharing and networking
Making your Data×AI initiatives stick
AIs become the new normal by offering people a smoother Workflow Experience (WFX). Your WFX Engineering, then, must navigate common AI initiative failure modes.
Projects without practices
People don’t adopt new tech. They adopt new practices. But only if the practice reduces everyday work friction.
Practices without product ownership
People employ products in their practices. But only if the product offers smoother WFX (job-doing). WFX Engineering requires effective product ownership and governance.
Point-solution spaghetti that blocks scaling
When more people adopt a practice, products must scale with demand. This requires investment in refactoring products into reusable and composable components.
Practices that don't spread beyond pockets of pioneers
Enterprise Data-AI reform design
Partnering over time to sequence the experiences that enable data & AI to scale in operations.
What we will cover
The Seminar topics are a response to better understand the failure modes and how to adress them.
The path from new to normal
Why this transition is where Data & AI initiatives most often stall — and what has to change for adoption to move beyond pilots.
Where AI adoption breaks: common failure modes
How invention, early adoption, and scaling pull in different directions, creating blind spots that are easy to miss.
What must be designed for adoption to become repeatable
The key conditions that allow teams to move fast while staying coherent, safe, and value-generating.
What this means for the decisions you make next
The shared language and perspective to help participants see where to focus — and where deeper work is usually required.
How the Masterclass works
The Masterclass topics are a response to better understand the failure modes and how to adress them.
Breakfast & arrival (08.00–08.30)
Informal arrival, breakfast, and light networking.
Modular sessions (08.30–12.00)
Each module cover a key topic. It expose common anti-patterns and give a tool box of new better patterns. This is followed by guided exercises to learn how to use a new pattern and discuss how delegates can internalise this at home.
Ateljen – Our location for the Seminar: Sturegatan 15
Who this is for
For people starting or already working with Data & AI and navigating the shift from pilots into normal operations.
For steering groups, project leaders, product owners, product managers, transformation leaders and change managers working with Data and/or AI innovation-adoption-industrialisation and scaling.
Where progress depends on alignment between tech, transformation, and business
Who want a clearer picture of what
the work actually involves
Sign up now
For people starting or already working with Data & AI and navigating the shift from pilots into normal operations.
From projects to practices: make AI normal
Location in Stockholm:
Sturegatan 15 Möten och Event by Hantverket – Ateljén
Date:
2026-03-29
Time:
08:00-12:00
Includes:
Small Breakfast Buffé and premium Master Class.
Modular sessions with guided exercises to learn new patters for participants to internalise at home.
Limited seats
Upon sign up, you will get a confirmation Email with all the details.
Contact for questions
Katarina Liard
katarina.liard@dairdux.com
Cancellation
Go to this page
Master Class Cancellation
About the host
Henrik Göthberg is the founder of Dairdux, a Data & AI industrialisation company focused on systemic adoption — helping organisations move new capabilities from ambition into everyday practice.
Since founding Dairdux in 2019, Henrik has combined hands-on responsibility in large industrial organisations with research into systemic adoption — how organisations design work, governance, teams, and platforms so data and AI capabilities actually become normal. Since 2020, this work has been supported by a dedicated research track together with Mikael Klingvall, PhD in Computational Organisational Sociology, integrating insights from organisational research, complex systems, computer science, and Data & AI.
Alongside his work at Dairdux, Henrik has held leadership roles in large industrial organisations, owning responsibility for moving data and AI from experimentation into real operations. He is also Chairman of Data Innovation Summit and co-host of the AI AW Podcast.
Frequently asked questions
How long is the Master Class?
The Master Class is 4 hours, a half-day from 08:00 to 12:00.
How much does it cost?
The price of the Master Class is 3000 SEK and will be invoiced to the Email you signed up with.
How does payment work?
We will send you an invoice with the amounted price that you can then send to responsible parties at your company.
What if I need to cancel?
If you need to cancel, please do so at the latest the day before the class. You can cancel here