The Acceleration of AI Adoption
AI is advancing at record speed. Between May and August this year, adoption grew by more than 3,000%, supported by trillions in global investment. This shift is redefining how organizations work and compete.
On 2 September 2025, Van Ameyde hosted a webinar with transformation expert Jennifer Vessels, who highlighted that AI is both hype and reality. While terms like “agentic AI” may sound futuristic, in practice they simply connect tools to automate tasks – for example, linking Microsoft Copilot with ServiceNow so support tickets flow directly into meeting notes. According to Vessels, the real impact lies in applying AI to make processes smoother and reduce repetitive work.
Van Ameyde’s AI Journey
Van Ameyde applies AI in measurable ways:
- Automating correspondence – AI analyses messages and determines next steps in the claims process.
- Supporting liability assessments – AI improves speed and consistency, allowing experts to focus on complex cases.
- Embedding compliance – All tools are reviewed by risk and compliance teams to meet regulations, including the EU AI Act.
Tools are tested in pilots before scaling. Insights from employees and external experts shape the approach. Guidelines are treated as living documents, evolving with technology and regulation.
Common Pitfalls to Avoid
Many organizations stumble by investing heavily without a clear strategy, resulting in costly experiments with little impact. Others isolate AI in one department, creating resistance and slowing adoption. True progress comes when AI is linked to business goals and embraced across the organization.
Governance and Responsible Use
AI success depends on people and governance as much as on technology. A dedicated role such as Chief AI Officer can:
- Define ethical frameworks and compliance standards.
- Set clear guidelines for platforms and practices.
- Empower employees to use AI with oversight and critical thinking.
At Van Ameyde, governance is dynamic. Policies are updated continuously to balance innovation with compliance, ensuring sustainable adoption.
A Practical Roadmap
For organizations starting their AI journey:
- Start small – Select a structured, repeatable process like claims sorting.
- Test with a pilot team – Run short experiments with cross-functional input.
- Measure results – Track ROI and efficiency gains.
- Scale step by step – Expand with clear guidance and accountability.
- Keep people central – Let AI handle repetitive tasks so employees focus on problem-solving and service.
Key Takeaways
- AI delivers value when tied to measurable outcomes.
- Governance and compliance – especially under the EU AI Act – are essential.
- Pilot, measure, and scale responsibly.
- Human oversight is critical – AI supports, people decide.
- Policies must stay flexible as technology and regulations evolve.
To conclude, value comes when AI is practical, responsible, and people centered.
Learn about our claims handling platform
