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. We 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.