Enterprise identity modernization for Europe’s AI era

Across Europe, enterprise AI ambitions are accelerating. But for many large organizations, the real challenge is not access to models or tools. It is whether the business can scale AI across countries, business units, legacy systems and hybrid environments without losing control. In that context, identity modernization is no longer a narrow security initiative. It is a foundational enabler of governed AI execution.

European enterprises often face a distinctive combination of complexity: fragmented application estates, cross-border operating models, strict governance expectations and a growing need to prove how technology decisions are made and enforced. As AI agents begin to participate in more workflows, that complexity increases. Enterprises are no longer managing only workforce, customer and partner identities. They are also preparing for a new class of digital actors that need defined identities, bounded permissions and clear oversight.

That shift changes the role of enterprise identity. Identity is becoming the control plane for how AI can act inside the business.

Why identity modernization matters now

Many organizations still rely on identity environments shaped by years of expansion, integration and workaround decisions. These estates often include legacy technologies, tightly coupled applications and inconsistent access journeys spread across on-premises, cloud and hybrid environments. Modernizing them can be difficult because identity is connected to so many critical systems and business processes. The cost of disruption is high, and the need for continuity is non-negotiable.

At the same time, AI adoption is moving faster than enterprise readiness. Research among 1,550 AI decision-makers found that while 73% say AI is used regularly or across most business processes, only 10% say it is core to how their business operates. The gap is not simply about model capability. It reflects a deeper issue: most organizations have not yet adapted their systems, workflows and operating models enough to capture AI’s full value.

For European enterprises, identity sits directly inside that readiness gap. If access controls are fragmented, business logic is buried in legacy environments and governance is handled as an afterthought, AI may scale activity without scaling trust. The result is often more complexity, not more value.

From access management to AI governance

As AI agents take on more responsibility, enterprises need the same confidence in what an agent is and what it is allowed to do that they expect for employees, customers and partners. That means moving beyond generic automation and building identity and governance into the design of AI-enabled workflows from the start.

First, each agent needs a distinct identity, not just shared access to tools or systems. Second, permissions must reflect enterprise policy, business context and risk, rather than broad technical enablement. Third, leaders need visibility into how agents are configured, what they can access and where human oversight is required. In regulated and business-critical environments, those controls cannot be bolted on later.

For organizations operating across multiple markets, this becomes even more important. AI agents may need to interact with different systems, teams and workflows depending on country, product line or business function. Without a stronger identity foundation, enterprises risk creating disconnected agent deployments that are difficult to monitor, govern and scale.

A modernization approach built for real enterprise conditions

Modern identity transformation works best when it reflects how the business actually runs. That is why enterprise context matters. Context connects application dependencies, business rules, technical constraints and operational realities so modernization decisions are based on more than static system diagrams or isolated documentation.

Publicis Sapient applies this principle through a people-plus-products model that combines engineering expertise with AI platforms built for enterprise modernization, orchestration and operational resilience. Sapient Slingshot helps organizations understand legacy environments, extract embedded business logic and accelerate software modernization with traceability and validation across the lifecycle. Sapient Bodhi provides the orchestration, context and governance needed to build and scale enterprise-ready AI agents and workflows. Sapient Sustain helps organizations improve resilience and control in increasingly complex live environments.

Together, these capabilities support a more production-ready path to identity modernization. Instead of treating modernization as a one-time platform replacement, the focus shifts to governed execution across the environment: understanding existing integrations, mapping dependencies, improving testing and validation, automating repeatable work where appropriate and keeping humans in control at the critical decision points.

This matters because identity modernization affects far more than authentication. It shapes how applications connect, how access journeys work, how security policies are enforced and how new AI-enabled services can be introduced without destabilizing the estate underneath them.

Scaling AI across borders without losing control

For European organizations, scale rarely means expanding one standardized workflow in one market. It often means coordinating across multiple operating models at once. Business units may move at different speeds. Local requirements may vary. Legacy architectures may be deeply embedded in customer, employee or partner journeys. That is why governed execution matters so much.

The goal is not simply to introduce AI faster. It is to scale AI in ways that are inspectable, resilient and aligned to how the enterprise creates value.

This is where modernization and governance converge. Enterprises that treat identity as strategic infrastructure are better positioned to expand AI adoption with confidence. They can move beyond fragmented pilots toward a more connected operating model where AI works across systems and workflows under real business controls.

Proof that controlled transformation is possible

Large-scale modernization does not have to come at the cost of continuity. Publicis Sapient’s work with Ping Identity and The AA shows what governed transformation can look like in practice. Together, the organizations migrated 4.7 million users and 1.5 million active tokens to a modern cloud identity solution with zero downtime, helping improve reliability, scalability and operational simplicity.

That example matters because it reflects the kind of challenge many European enterprises face: modernize a critical identity foundation, preserve continuity and create a stronger base for what comes next.

What comes next for enterprise leaders

In Europe’s AI era, identity modernization is becoming a board-level concern because it sits at the intersection of security, resilience, transformation and growth. It influences how confidently an enterprise can modernize legacy systems, how safely it can introduce AI agents and how effectively it can govern access across a changing technology estate.

The winners will not be the organizations that deploy the most AI the fastest. They will be the ones that modernize the foundations underneath it, connect AI to real workflows and maintain control as complexity rises.

For European enterprises, that starts with identity. Not as a standalone technology project, but as a practical foundation for governed AI at scale.