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World Congress 2026 Europe • Jul 9, 2026 • Session details

AI-Ready? What Enterprise Transformation Actually Takes

Florian Deter , Mei Dent , Oliver Krizek , Stefan Lemke , Uli Irnich

Merely layering AI onto existing workflows will not transform your enterprise. To achieve genuine AI readiness, you must unlearn traditional paradigms and rebuild operations from the ground up.

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#1 about 3 min

Defining enterprise AI readiness beyond basic technology pilots

True AI readiness requires organizations to gracefully handle workflow errors made by autonomous agents.

#2 about 5 min

Managing the cultural and emotional impact of AI adoption

Successfully adopting new AI tools depends on top-down commitment, individual curiosity, and rebuilding outdated processes.

#3 about 2 min

Integrating AI into established enterprise operations and agile frameworks

Empowering employees and aligning business with IT lays the foundation for impactful AI integration in traditional companies.

#4 about 2 min

Scaling AI initiatives by transferring ownership to business units

Moving AI pilot projects from innovation labs to core business departments ensures measurable value delivery.

#5 about 5 min

Transitioning software engineering teams to AI-native development workflows

Developers must unlearn traditional methodologies to securely orchestrate autonomous agents and embrace AI-first software design.

#6 about 2 min

Navigating regulatory compliance and data sovereignty in enterprise AI

Strict data privacy laws and emerging sovereign regulations heavily dictate AI implementation strategies in the financial sector.

#7 about 3 min

Educating executive boards to foster alignment on AI capabilities

Conducting hands-on technical sessions for corporate leadership demystifies agent development pipelines and bridges the communication gap.

#8 about 3 min

Proving end-to-end business value rather than testing experimental technology

Evaluating holistic workflows instead of isolated tasks ensures that integrated tooling achieves meaningful operational improvement.

#9 about 2 min

Empowering developer enablement through high-velocity engineering methodologies

Adopting structured engineering frameworks helps all classes of developers utilize advanced tools to solve complex customer problems.

#10 about 2 min

Embedding technical expertise directly into early business design phases

Including IT engineering personnel directly in business strategy workshops creates cross-functional fluency and prevents downstream friction.

#11 about 6 min

Prioritizing security and technical craftsmanship in modern AI engineering

Future developers must balance non-functional requirements like data governance with curiosity and collaborative problem solving.

Matching moments

3:42 min

Why early enterprise AI pilots fail to scale

Dominik Krimpmann Dominik Krimpmann · WWC 2025

1:39 min

Assessing the reality of true enterprise AI adoption

Axel Schell Axel Schell +2 · WWC Europe 2026

3:02 min

Engaging executive leadership to model artificial intelligence usage actively

Axel Ebert Axel Ebert +1 · WWC Europe 2026

1:43 min

Core foundations for successful artificial intelligence transformation

Alexander Birke Alexander Birke +1 · WWC 2024

6:30 min

Challenges of transitioning to enterprise-wide AI automation

Axel Schell Axel Schell +2 · WWC Europe 2026

5:20 min

Establishing shared accountability for true enterprise AI transformation

Avani Prabhakar Avani Prabhakar · WWC Europe 2026

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