A client in the consulting space faced a fundamental challenge: extracting knowledge from subject matter experts who don't consciously know what they know. The 'unspoken methodology' that experts apply automatically across research phases was hard to capture. Every handoff between SME and developer meant lost nuance, and traditional automation couldn't encode the implicit decision-making that made these experts valuable.
ByteBeam built a multi-agent research copilot that worked alongside the SME to surface and encode their tacit expertise into the system. Rather than asking experts to document their methodology (which rarely captures the real logic), the system observed patterns and learned the implicit rules that experts apply automatically. The key insight: the hardest part of AI agents isn't the AI—it's surfacing the tacit expertise that experts apply automatically.
Captured institutional knowledge that would otherwise remain locked in individual experts' heads.
Junior team members can now produce expert-level research with AI guidance encoding senior methodology.
New consultants become productive faster by learning from the AI system that embodies best practices.
Research outputs maintain consistent quality regardless of which team member is assigned.