Our client is a technology and change consultancy focused on helping organisations modernise legacy systems, improve operational performance, and build stronger digital foundations for future growth. Their work sits at the intersection of technology, transformation, and delivery: designing, building, and managing digital systems that solve complex business problems.

In this instance, our client required specialist support on a project for one of their major advisory-sector clients, ClientX: a large organisation operating across pensions, employee benefits, and wealth services, with substantial assets under management and a broad corporate client base. A key part of that ClientX’s employee benefits offering relied on a long-established third-party platform which successfully supported day-to-day service delivery, but no longer enabled the level of insight, analysis, and innovation the market now demanded.

Whilst the platform remained operationally functional, the underlying data structures and architecture were outdated. As a result, ClientX was unable to generate meaningful portfolio-wide business intelligence, perform modern analytics, or build the AI-enabled tools increasingly expected in the employee benefits sector. They needed a practical way to create a bridge between the legacy platform and a modern internal data environment, without disrupting a working service or embarking on an expensive full replacement programme.

Our client turned to Daedalus to assess the existing landscape, define a viable technical approach, and produce the architectural and strategic materials which would guide the eventual project.

Daedalus was engaged to bring clarity, speed, and technical precision to a problem that required both enterprise-level understanding and startup-style execution. Our role was not to recommend a costly ground-up rebuild, but to define a commercially viable path forward within the realities of an already-functioning corporate environment.

We approached the project in three stages:

• Technical and Strategic Assessment: We began by reviewing the work undertaken to date, including existing specifications, meeting records, technical materials, architecture, and prior thinking. In parallel, we worked with both our client and the ClientX to clarify goals, constraints, commercial priorities, and the long-term strategic objective behind the work.
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• Deep System Analysis: We then conducted a detailed assessment of the live database, codebase, and underlying platform structure in order to understand how data was currently stored, where architectural limitations existed, and what would be required to extract, transform, and make that data useful within a standalone internal solution.

Architecture and Roadmap Definition: Based on our findings, we produced a clear set of architectural diagrams, implementation recommendations, and prioritised delivery guidance. These outputs were designed to give both technical and non-technical stakeholders a shared understanding of the current state, the target state, and the practical route between the two.