Univé builds an AI-ready workforce

Univé builds an AI-ready workforce \| OpenAI

July 31, 2026

Univé builds an AI-ready workforce

Univé is building an AI-ready workforce by combining strong leadership, responsible governance, and employee-led innovation with ChatGPT.

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!Univé logo in white over red textured brand artwork.

Company size: Mid-market

Region: Europe & UK

Industry: Finance

Products: ChatGPT

97%

ChatGPT Enterprise licenses activated

85%

Weekly active users of ChatGPT Enterprise

~1,500

Custom GPTs created by employees

hours → minutes

Pet insurance claims prepared for decision in minutes instead of hours

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Building AI capability across the organization

As one of the Netherlands’ largest cooperative insurers, Univé⁠(opens in a new window) serves millions of members across insurance, mortgages, financial services, and risk prevention. Its mission has always been to help people prevent problems before they happen—and as AI began reshaping knowledge work, the organization saw an opportunity to rethink how employees could better deliver on that mission.

Rather than approaching AI as another technology deployment, Univé viewed it as a major organizational transformation. The objective wasn’t simply to introduce new tools, but to build AI capability across the workforce so every employee could use AI safely, responsibly, and effectively. OpenAI became a key part of that strategy, with ChatGPT Enterprise providing a secure platform that employees could adopt quickly within Univé’s governance framework.

Leadership creates direction

Univé’s transformation began with leadership.

Instead of treating AI as an IT initiative, the company brought its entire management community together for dedicated AI leadership sessions.

!People discuss AI around a table during a Univé leadership session.

Rather than focusing on product demonstrations, these sessions challenged leaders to rethink how work itself would change and what role they would play in enabling that transformation. Managers moved beyond approving AI initiatives to creating the conditions for responsible innovation across their teams.

> “Most organisations try to scale AI by building more solutions. We chose to scale AI by creating more builders.”

—Yous van Halder, Director Data & AI, Univé

Governance creates confidence

Univé also recognized that adoption at scale would only happen if employees trusted the platform they were using. Governance wasn’t something added after deployment—it was designed into the rollout from day one.

Enterprise authentication, connector permission inheritance, privacy assessments, governance processes, security reviews, responsible AI principles, continuous monitoring, and clear human accountability created the confidence employees needed to experiment responsibly. Permissions always follow the underlying enterprise systems, to prevent AI from getting access beyond what employees are already authorised to see.

By establishing strong guardrails early, Univé was able to encourage experimentation with explicit safeguards for security, privacy, and accountability. Governance became an accelerator for innovation, not a barrier to it.

Employees create momentum

With leadership providing direction and governance providing confidence, employees became the driving force behind adoption.

Rather than requiring detailed business cases for every new idea, Univé gave employees permission, structure, and dedicated time to rethink their own work. Across the organization, employees collectively spend hundreds of hours every week redesigning work with ChatGPT Enterprise, building custom GPTs, experimenting with Workspace Agents, and sharing successful approaches with colleagues.

Today, ChatGPT Enterprise supports knowledge work across virtually every business function—from claims and underwriting to finance, HR, legal, IT, customer service, and management. Approximately 1,500 custom GPTs have been created to solve internal challenges, reflecting a culture where employees increasingly improve the organization themselves instead of waiting for centralized development projects.

> “Our competitive advantage is not that we use AI. It is that thousands of employees are learning how to reinvent their own work every single week.”

—Yous van Halder, Director Data & AI, Univé

AI at Univé today

One of the clearest examples of AI in action is pet insurance claims. A Workspace Agent can assemble the claim file, review veterinary invoices, check policy conditions, identify missing information, highlight anomalies, and prepare a traceable recommendation before the claims handler begins their assessment.

Work that previously took hours to prepare can now be ready for decision in minutes. Rather than spending time gathering, reading, and structuring evidence, claims professionals begin with a well-prepared case and can focus on applying their expertise. Importantly, the trained claims professional remains fully accountable for every final decision. AI prepares the work; people make the decision.

Underwriting is another high-value application. Before an underwriter starts the day, a Workspace Agent reviews the incoming work queue, combines information from approved enterprise sources, identifies missing documentation, flags risk indicators, and highlights cases requiring priority attention.

When the underwriter logs in, the work queue is already structured. Each case includes the relevant context, the evidence behind recommendations, and the specific areas where professional judgement is needed. Instead of spending valuable time searching for information and assembling files, underwriters can focus on making better, faster decisions.

Initiatives being explored

While today’s use cases focus primarily on supporting employees during individual tasks, Univé is actively exploring the next phase of enterprise AI through Workspace Agents.

These agentic workflows are designed to proactively prepare recurring work across approved enterprise systems—bringing together information, surfacing relevant context, and creating evidence-based starting...