Case Studies

Strategic lead and architecture decisions — implemented by the internal team and partners

Legacy C# and SAS silos separated research, portfolio management, and engineering. Long release cycles, limited ESG capability, and a lack of traceability put speed, control, and compliance at risk.

Migration of the organisation to Python and open source. Deployment cycles dropped from three months to three weeks; 44 employees were upskilled across four cohorts. The result was a stack that supports traceability, auditability, and regulatory requirements in a financial-services environment.

Strategic lead, employee survey & AI prototype — implemented by an external team

More than 30 years of project data, 70% manual processing, and no reliable data foundation. Publicly funded information was trapped in silos; AI potential could not be put to operational use.

Development of a data strategy with a 120-page implementation roadmap. An AI-supported forecasting model for workforce planning achieved 90% accuracy; the planning cycle shifted from annual to continuous.

Strategic concept, NLP architecture, and prototype development — further expanded by the internal team

More than 10,000 research documents spanning three decades: unstructured, confidential, and nearly impossible to search. Cloud and API usage were ruled out.

Built an NLP-based knowledge explorer that turned static document storage into search results in seconds. Topics, related contexts, and source documents became directly accessible — fully on-premises, with no external APIs and no LLMs. The internal team subsequently expanded the solution further.