Following the release of pivotal small cell lung cancer data at ASCO 2025, a mid-size global oncology firm faced a critical bottleneck regarding rapid clinical feedback. The team required immediate guidance on treatment sequencing to maintain their strategic edge, yet traditional advisory boards proved too slow because of scheduling logistics. W deployed a virtual advisory solution that recreated complex debates among synthetic experts within days of the conference. This approach utilized a proprietary clinical intelligence engine to model specific expert behaviours based on public real-world data.

The case study outlines how the virtual session matched the nuance of live human interactions while drastically compressing the timeline to insight. The analysis reveals that the AI-driven participants surfaced substantial incremental insights that had gone previously under-reported by internal teams. Beyond the immediate speed advantages, the project highlight new financial efficiencies for the brand.