Systems | Development | Analytics | API | Testing

At the recent data:unplugged 2026 in Münster, Europe’s biggest festival for data and AI, the stage was set for a masterclass in data transformation. Julian Stock, Analytics Reporting Team Lead, and Andreas Weiß, Senior Reporting Engineer, from PAYBACK, Germany’s premier loyalty program, shared the stage to detail a decade-long evolution: the journey from a strict, ticket-based reporting system to a thriving, AI-ready data culture.

Perforce Intelligence is in its next phase to help our customers and partners get solutions, platforms, and features that bring control at every stage of the AI software development lifecycle (AI SDLC). Read about the evolution of Perforce Intelligence and new platforms and features we’ve rolled out to make AI easier to adopt for production-ready environmental needs. Back to top.

At Sapphire 2026, SAP introduced its latest vision for customers: the “Autonomous Enterprise,” a new model of business where AI agents run core ERP processes, from HR to finance and beyond. Reimagining the modern SAP enterprise also means reimagining its tools. At this year’s event, SAP renamed the Integrated Toolchain to the SAP Agent-led toolchain, revamping its role for a more intelligent enterprise.

AI can write a test case in seconds. It looks clean. It is structured correctly. It has a name, preconditions, steps, and expected results - everything a good test case should have. And that is exactly the problem. A polished test case is not the same as a correct one.

GitHub Copilot, Claude, and Cursor have become genuine superpowers for API development. They draft OpenAPI definitions, generate endpoints, propose schema changes, and write test cases — all from inside the IDE, in real time. Teams using these tools are generating API definitions faster than most thought possible even a few years ago. That velocity is real, and it’s reshaping how engineering teams think about their toolchain.

AI adoption programs tend to end in the same place. Tools are accessible, usage is up, and there's a dedicated Slack channel for wins. Six months later, nothing about how the team works has fundamentally changed. People are doing the same things – just slightly faster. And it’s easy for programs to stall when you’re measuring the wrong thing. Adoption (whether people have access and whether they're using the tools) is visible and easy to report.

AI agents are no longer a pilot-stage bet. As of 2026, 80% of enterprises have at least one production AI agent deployed. The global AI agents market has crossed $10.91 billion and is sprinting toward $52.62 billion by 2030. The cost-per-task economics are staggering: a human-handled customer support ticket costs $4.18 on average. An AI agent resolves the same ticket for $0.46. That is a 9x cost reduction, right there.