Turning End-to-End Process Data into a Scalable, AI-Ready Business Structure at LähiTapiola
LähiTapiola partnered with Vuono Group to build a scalable foundation for managing business complexity. A modern approach to business process management proved the value of embedding end-to-end process data directly into business logic, and laid the groundwork for scaling the business and building future AI capabilities.
“Our goal has been to simplify complexity and build a more unified foundation for how the business operates. Vuono Group helped us connect processes, data, and business logic. Their structured and practical approach, combined with a strong understanding of modern process management, has been a key step towards AI-ready processes.”
The Starting Point
For a leading financial group like LähiTapiola, serving 1,6 million customers, the challenge is not a lack of documentation, but making sense of complex, interconnected data. Existing static tools were difficult to maintain and limited in business value, while the organisation needed a unified language and a single source of truth for process-related information.
The goal was to assess and implement a scalable solution that makes business relationships and their impact easier to understand across functions, supports process owners in grasping cause-and-effect, and enables fact-based communication. This foundation is also enabling future development towards AI-ready processes.
How We Helped?
Vuono Group supported LähiTapiola in assessing and implementing a modern business process management (BPM) approach, proving how a scalable information management and governance system can integrate data directly into business logic.
Customer journeys, value streams, and process maps were brought into a single platform, creating a unified way to manage and develop processes across the organisation. This established a clear foundation for consistent development, ownership, and better use of data.
A key focus was contextual metadata: Regulatory requirements, risk points, KPIs, and other critical information were embedded directly into end-to-end processes. This shift from static documentation to structured data enabled a more effective way to drive continuous improvement – laying the groundwork for future business transformation and future AI capabilities.
Key Outcomes
BPM technology meets the business requirements. The initiative proved that modern process management technology can embed Lähitapiola’s end-to-end process data directly into business logic. This provides a basis for future technology decisions and adoption.
Complex end-to-end process data made manageable. Leadership now has a clear view of cause-and-effect relationships across the business architecture, with a structure that connects regulatory requirements, risk points, and KPIs directly to processes.
AI-ready process foundation. By structuring end-to-end process data today, we built the foundation needed for future AI capabilities to understand and optimise business logic.