Consulting

Reimagining Innovation Workflow with AI Agents

Challenge

Innovation processes were linear and slow, depending on manual SME validation. Each opportunity required weeks of expert interviews, framework application, and prototype development — creating bottlenecks that limited the organization's ability to explore new markets at scale.

Solution

Built an agentic workflow using multi-GPT chains to interview SMEs, map JTBD frameworks, and generate opportunity prototypes. The system automated the most time-intensive steps of innovation discovery while preserving the strategic rigor of human-led validation.

Results

Produced 23 validated innovation opportunities totaling $273M in potential market value; prototypes built in hours instead of months.