In a rapidly evolving healthcare technology landscape, Tietoevry Care faced increasing pressure to innovate faster, reduce time-to-market, and improve the effectiveness of its research and development operations.
By integrating Generative AI into its R&D workflows, the organization achieved a 23% increase in productivity — a result of automated literature analysis, faster hypothesis generation, and intelligent pattern recognition across complex medical datasets.
Instead of spending weeks sifting through clinical studies or documentation, researchers now rely on AI-driven tools to summarize findings, suggest new directions, and simulate outcomes. This not only accelerated decision-making but also improved the quality and reproducibility of research efforts.
Key outcomes included:
- 30% reduction in time spent on data preprocessing
- Enhanced cross-functional collaboration through AI-generated knowledge graphs
- Improved identification of unmet needs and innovation opportunities
Generative AI is no longer just a support tool — it’s becoming a co-creator in research.
At AES, we help forward-thinking organizations across Africa adopt similar AI strategies to unlock faster innovation, reduce R&D costs, and drive better outcomes in science, health, and technology.