Webinar

How leading European organizations turn AI into business value in 2026

Insights from 250 executives and 500+ projects across Europe, in collaboration with Statista.

About the Webinar

Artificial Intelligence has entered a new phase of maturity. As AI and agentic technologies continue to evolve at unprecedented speed, organizations face increasing pressure to scale adoption, generate measurable business value, and avoid falling behind more AI-enabled competitors.

Our latest research reveals a significant execution gap: while 58% of organizations have a fully defined AI strategy, only 44% have fully implemented an AI operating model. At the same time, 79% of AI initiatives fail during or shortly after the pilot stage, highlighting the challenge of translating AI ambition into enterprise-wide impact.

To mark the launch of the AI Trends Report, OMMAX, Ibexa, and Make hosted an executive webinar discussing the findings of the AI Trends Report 2026 and the practical lessons learned from hundreds of AI transformation engagements.

Drawing on insights from 250 executives across Europe and more than 500 AI transformation projects, this session provided a practical perspective on what separates AI leaders from followers. We discussed how organizations are overcoming common scaling barriers and why the next frontier of AI value creation lies in orchestrating AI across teams, operating models, software, data, and workflows.

Key webinar takeaways

AI strategy alone is not enough
Although 58% of organizations have a defined AI strategy, fewer than half have implemented an operating model that enables enterprise-wide execution.
Pilots rarely create enterprise value
The discussion highlighted why AI initiatives often stall between pilot and production, and why successful organizations treat AI as an operating model rather than a collection of isolated projects.
Data, governance and ownership determine scale
Beyond technology, scalable AI depends on connected enterprise data, business ownership, governance and reusable operating structures.
Enterprise orchestration is the next frontier
Rather than deploying more individual AI use cases, organizations are increasingly orchestrating AI across teams, workflows, software and enterprise data to create sustainable competitive advantage.

Five executive priorities for scaling AI

Think business AI-first
Tie AI initiatives directly to measurable business outcomes and KPIs.
Align your operating model to your AI strategy
Close the gap between executive ambition and enterprise execution.
Iterate fast to scale
Use production readiness and stage-gate funding to move successful pilots into enterprise deployment.
Fix data while scaling
Build connected enterprise data foundations and integrations before expanding AI agents and automation.
Govern and enable
Treat governance, adoption, AI champions and ROI measurement as strategic capabilities rather than compliance exercises.