Change Management
So that AI is not just implemented
but actually used
The underestimated success factor in AI adoption
Most AI projects do not fail because of the technology. They fail because people do not use it. Tools are procured, access is set up, training is delivered – and three months later, at best 10% of employees are using the new tools on a regular basis. The licences run, the costs remain, and the benefits never materialise.
McKinsey puts the ratio clearly: for every euro invested in AI technology, five should flow into change management. That may sound like a great deal – but the logic is straightforward. Systematic productivity gains only emerge once a critical mass of regular users is reached – roughly half of the workforce. Below that threshold, results remain isolated to individuals: impressive, perhaps, but insufficient to move the organisation as a whole.
Our Change Management programme is designed to reach that tipping point: through systematic capability building, continuous communication, and the structured integration of AI into the daily working practices of your organisation.
Our Packages
Who is Change Management for?
For organisations planning an AI implementation that want to account for the human factor from the outset. For those that have already introduced AI tools but are struggling with disappointing adoption rates. And for managing directors and HR leaders who understand that the investment in AI only pays off when it is genuinely used.
The programme works both alongside an ongoing AI implementation and as a standalone initiative – for situations where the technology is already in place, but usage falls short of expectations.
What We Do
Where is there openness to change, where resistance? Which stakeholders need to be involved early? Who can serve as AI champions and multipliers?
We create a stakeholder mapping and identify the people who already have positive experiences with AI. On this basis, we develop the change strategy: communications plan, training concept, and a roadmap for the coming months.
Role-based training, tailored to specific tasks Building an AI champion network: internal multipliers as points of contact and role models Regular pulse checks on actual adoption
If certain teams or areas fall behind, we adapt the measures — not at the end, but in real time.
Evaluate AI usage statistics Document proven best practices Consolidate everything so the team can continue independently
The handover goes to the internal team — with a clear development plan for the next phase. Our goal is self-sufficiency, not ongoing consultancy.
What your organisation receives
A documented change strategy covering communication, training, and implementation. Templates and materials for internal communication around AI. A role-based capability-building concept for your organisation. A champion handbook with guidelines and materials for your internal AI multipliers. An adoption report measuring actual AI usage and its impact. A best-practice documentation drawing on the experiences gathered throughout the programme. And a handover package so that your team can continue the work independently.
Investment and conditions
Duration: 3–4 months (depending on organisation size and scope)
Investment: Fixed pricing – get in touch to discuss investment options.
What comes next?
Change Management creates the conditions for AI to genuinely take root in your organisation.
AI Implementation can be used alongside or in parallel, where the technical side – tool selection, process integration, SOP development – still requires support.
If you want to measure the impact that the transformation has generated, the AI Maturity Assessment provides the data.
And if your leadership team still needs to build its own AI competence, the AI Leadership Transformation is the appropriate framework.
Schedule
a complimentary and non-binding
introductory conversation
Alternative contact options:
info@nordagi.de
+49 (0)7459 931 2429