AI-Native Change Agent
| Date | Location | Language | Trainer | Price (Net) | Places available | ||
|---|---|---|---|---|---|---|---|
| Book |
21.04.2026 – 23.04.2026 Guaranteed |
Ebene11 Dotzheimer Straße 11 65185 Wiesbaden |
German | Florian Beck | 2.490 EUR 2.290 EUR | 12 | Book |
| Book |
03.06.2026 – 05.06.2026 |
Munich |
English | Konrad Swistelnicki | 2.490 EUR 2.390 EUR | 15 | Book |
| Book |
17.06.2026 – 19.06.2026 |
Wiesbaden |
German | Florian Beck | 2.490 EUR 2.390 EUR | 15 | Book |
| Book |
01.07.2026 – 03.07.2026 |
Campus FFHS, Gleisarena, Zollstrasse 17, 8005 Zurich Switzerland |
German | Niko Kaintantzis, David Baer | 2.490 CHF 2.390 CHF | 12 | Book |
| Book |
29.09.2026 – 01.10.2026 |
Golden Floor Centrum Warsaw Poland |
Polish | Konrad Swistelnicki | 5.450 PLN 5.250 PLN | 15 | Book |
| Book |
30.09.2026 – 02.10.2026 |
Campus FFHS, Gleisarena, Zollstrasse 17, 8005 Zurich Switzerland |
German | Niko Kaintantzis, David Baer | 2.490 CHF 2.390 CHF | 11 | Book |
| Book |
16.12.2026 – 18.12.2026 |
Campus FFHS, Gleisarena, Zollstrasse 17, 8005 Zurich Switzerland |
German | Niko Kaintantzis, David Baer | 2.490 CHF 2.390 CHF | 12 | Book |
To participate, you must have previously passed the AI-Native Foundations exam.
The AI‑Native Change Agent Training is a 2½‑day advanced program building on the AI‑Native Foundations Training.
It is designed for everyone who wants not only to use AI in the organization, but to successfully embed and scale it.
According to MIT, around 90% of all AI initiatives fail—they end up on the proof‑of‑concept graveyard because they
- are not focused on value creation,
- get stuck in silos or isolated projects, or
- fall into the hype‑vs‑reality trap.
The AI‑Native Change Agent ensures that this does not happen.
He or she brings together the different perspectives and disciplines of an organization—Business, IT, Data, HR, Compliance, and Leadership—and creates shared alignment, clarity, and impact.
In the training, participants learn how to lead AI initiatives from the initial idea through to measurable value creation.
They use a structured process with design‑thinking elements and the seven AI‑Native success factors to ensure that innovation does not remain stuck at the conceptual level, but makes a real difference.
Preparing the AI Transformation
- Typical pitfalls: hype traps, the proof‑of‑concept graveyard, lack of business focus
- Building trust and shared understanding between business, tech, and management
- Identifying blind spots and quick wins
Designing the AI Transformation
- Applying the AI‑Native value discovery process
- Identifying and prioritizing relevant use cases
- Design thinking for AI: from idea to implementation
- Building a sustainable data and value strategy
- Governance, ethics, compliance, and risk management
Executing & Scaling
- Developing roadmaps and implementation plans
- Alignment across teams and stakeholders
- Supporting projects through short feedback cycles
- Storytelling and impact communication
- Scaling successful approaches across the organization
Learning Content
- Preparing the AI transformation
- Blind spots of AI opportunities
- AI flow and value maximization
- AI-supported facilitation of use cases
- AI-supported identification of use cases
- Shaping the AI transformation
- Value proposition
- Data strategy and product operationalization
- Risk management and compliance compliance
- Added value
- Execute & Scale
- The implementation roadmap
- Companion for a successful launch
- Storytelling
- Increase the impact
Learning Objectives
- Recognizing and overcoming common obstacles such as hype traps, misaligned priorities and stalled pilot projects
- Conduct AI-Native value discovery process through structured workshops or integrate it into ongoing team practices
- Translate AI concepts into easy-to-understand business language to engage non-technical executives
- Create stakeholder maps, charters and implementation plans that accelerate execution
- Accompanying projects in short cycles and eliminating obstacles to ensure rapid delivery
This training is aimed at:
All those who have successfully completed the AI-Native Foundations course.
After the training, participants can take an exam and then receive a corresponding certificate in PDF format.
Duration:
3 Day(s) On-site training
Level / Difficulty:
Advanced, Experts
Completion:
Certificate
Payment methods:
- Invoice
- Credit card
- GooglePay
Required Tools:
Access to the necessary tools is provided by KEGON for the training.
- Zoom
- Miro
- Slack
- Menti
Lunch included in the price for on-site training:
Yes
Are you interested in public training?
Contact us, we will be happy to advise you!
KEGON Academy-Team
If you have general questions, you can find our FAQs here.
Are you interested in in-house training?
Contact us, we will be happy to make you an offer!
KEGON In-House Training
If you have general questions, you can find our FAQs here.
Would you like more information or still have questions? Talk to us. We will be happy to advise you!
KEGON Switzerland Academy-Team
To ensure the transfer of what you have learned into practice, each Swiss training course includes one hour of individual coaching. At the end of the training, you will receive a corresponding voucher.
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