Across Europe, the cautious optimism business leaders held towards AI agents has evolved into more widespread enthusiasm. What was once a curiosity is now core to how many European organizations operate, respond, and innovate. 

According to PagerDuty’s latest agentic AI survey, three-quarters or more of organizations in France, Germany, and the UK are deploying multiple AI agents. 

This growing confidence reflects a broader trend. As teams use agentic AI in software development, operations, and service reliability, European leaders increasingly see it as a critical layer of their digital infrastructure.

Increased adoption across use cases

Across departments, European organizations are scaling AI agents beyond pilot programs. Two areas that stand out as catalysts for adoption are software development and incident management.

Coding

Coding remains one of the most mature applications of AI. In France, 87% of organizations now use AI to write, review, or suggest code—more than anywhere else in Europe. The UK and Germany follow with 85% and 80%, respectively, just behind the average of 84% globally. 

At PagerDuty, we’re seeing organizations use AI for automated testing, debugging, and even architecture-level recommendations. Teams that use generative coding are introducing speed, consistency, and quality into their software development. And in pairing automation with engineering oversight, they’re freeing their engineers to focus on more strategic thinking and projects.

Incident response

Executives in the region trust agentic systems for incident response even more strongly than their global counterparts. Compared to 81% globally, a notable 88% in the UK, 84% in France, and 82% in Germany say they would trust AI agents to take action on behalf of their organization during an outage or security event. 

AI agents can now identify and triage issues, trigger failovers, and even execute remediations for well-understood incidents. As adoption expands, AI is facilitating shortened resolution times and building operational resilience across Europe’s organizations.

Output quality and good governance build trust

Rising adoption is fueled by rising trust. Across Europe, confidence in AI-generated outputs is among the highest globally: 81% of French, 78% of UK, and 77% of German executives say they trust AI outputs more than they did a year ago.

Respondents point to a variety of factors that have helped them gain more trust in AI:

• Quality: More than half of leaders across the region report measurable improvements in AI accuracy and reliability.
• Experience: Frequent, successful use has built familiarity and confidence.
• Governance: France stands out in this area, with 52% of executives citing improved oversight and control measures. 

This dual focus on quality and accountability reflects Europe’s distinctive approach to AI. The region’s efforts to balance innovation and regulation position Europe as a model for responsible adoption.

Growth creates new responsibilities

While trust in AI is growing, leaders recognize that reliability requires both prevention and response. A considerable 90% of French, 88% of UK, and 84% of German respondents say their organizations need stronger procedures to detect and prevent AI-related errors or failures—underscoring an appetite for more proactive governance. This reflects the global interest in this area, at 85%. 

At the same time, nearly all respondents (96% in France, 97% in the UK, and 98% in Germany) are confident they can detect and mitigate failures before they impact operations, which reveals a maturity gap: Organizations trust their ability to respond effectively, but see room to strengthen the early-warning systems that stop problems before they start.

The flywheel effect

Adoption breeds confidence, which fuels more adoption. Globally, three-quarters of companies now use multiple AI agents, and 25% are running five or more.

Across Europe, these numbers are close to the global average:

• France: 76% have deployed multiple agents, and 35% have deployed five or more.
• UK: 80% have deployed multiple agents, with nearly a quarter (24%) launching five or more.
• Germany: 71% have deployed multiple agents and 21% have five or more, which falls a bit behind the other regions.

Increased usage will also continue building trust among leadership, which is bound to open the door to more potential applications.

People and culture keep AI systems resilient

As agentic AI becomes embedded across workflows, leaders must manage increased complexity and mitigate the impact on their teams.

In the UK, 84% of executives believe AI-driven complexity will soon outpace the number of people available to manage it—substantially above the global average of 76%. There are lower levels of concern in France (77%) and Germany (67%).

This reinforces a core insight: Resilience depends on the intersection between people and technology. The most successful organizations are hiring and training employees who can monitor systems, validate outputs, and intervene when necessary to transform AI from a risk factor into a force multiplier.

How does your AI maturity stack up?

From London to Paris to Berlin, agentic AI is becoming a trusted foundation of digital operations.

Organizations across Europe are using AI agents to code faster, respond smarter, and operate with greater confidence. The path is clear: Treat AI as operational infrastructure rather than as experimental technology, and invest in the governance, skills, and partnerships that infrastructure requires.

Companies that navigate that balance will set the standard for operational excellence in Europe and beyond. Those that wait risk falling behind as AI maturity accelerates around them.

To see what that future can look like, read the full PagerDuty report.