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

The AI-Fluent Team: A Playbook for Driving Enterprise AI Transformation

Avani Prabhakar

AI boosts individual productivity by 33%, so why is team output only up 4%? Learn how to fix this enterprise blind spot and make AI a team sport.

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#1 about 2 min

Differentiating simple AI adoption from true business transformation

Moving beyond simple software deployments requires focusing on people and measurable returns rather than just tracking license usage.

#2 about 3 min

Revealing the team productivity blind spot in AI rollouts

Discover why individual efficiency gains from artificial intelligence often fail to translate into broader team collaboration improvements.

#3 about 3 min

Defining an AI-first business approach through context and workflows

Rethinking complete business processes and creating an organizational context layer prevents the pitfall of merely bolting intelligence onto legacy workflows.

#4 about 6 min

Redesigning team shapes to support a culture of experimentation

Smaller cross-functional frontier teams with blurred roles and high psychological safety can rebuild software development lifecycles significantly faster.

#5 about 6 min

Establishing shared accountability for true enterprise AI transformation

Strategic alignment between technology leaders and human resources teams establishes clear internal guardrails for adopting responsible technology workflows.

#6 about 5 min

Leveraging connected teamwork graphs to generate massive AI returns

Connecting organizational data into a comprehensive graph reduces token costs and generates significantly more innovative internal outcomes.

#7 about 3 min

Encouraging widespread workforce adoption without mandating new AI usage

Empowering non-technical employees to build automated onboarding agents builds confidence and creates an authentic bottom-up technical culture.

#8 about 4 min

Evaluating the future of enterprise tasks, skills, and roles

Focusing initial automated optimizations at the specific task level rather than the role level prevents massive organizational resistance and talent attrition.

#9 about 3 min

Measuring enterprise AI success through tracking super user behavior

Tracking deliberate power users performing complex daily tasks provides better success indicators than relying on basic platform interaction metrics.

Matching moments

1:56 min

Scaling AI adoption to non-traditional enterprise developers

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

6:21 min

Balancing AI transformation with a people-centric approach

Alexander Birke Alexander Birke +3 · WWC 2025

3:02 min

Engaging executive leadership to model artificial intelligence usage actively

Axel Ebert Axel Ebert +1 · WWC Europe 2026

2:12 min

Implementing an enterprise AI playbook across data and people

Loredana Crisan Loredana Crisan +3 · WWC Europe 2026

6:15 min

Identifying key transformation opportunities for enterprise artificial intelligence

Simi Olabisi · LIVE

3:33 min

Crucial lessons for deploying generative AI in enterprises

Alexander Trusheim Alexander Trusheim +1 · WWC 2025

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