8 Hours per Week Reclaimed — Knowledge at Your Fingertips

Mid-size consulting firms with 50 to 200 consultants sit on an enormous wealth of institutional knowledge — yet it remains scattered across email inboxes, local drives, and the minds of individual team members. According to an IDC study, companies lose $31.5 billion annually due to poor knowledge sharing. Even more critical: 42% of institutional knowledge exists solely with individual employees. When senior consultants leave, years of accumulated expertise disappear permanently. Meanwhile, consultants spend an average of 8.2 hours per week searching for or recreating information that already exists somewhere in the organization — time that serves neither clients nor growth.

Data Integration

The platform captures and indexes all knowledge sources across the firm: proposals, project reports, methodology documentation, presentations, and internal playbooks. Documents are automatically synchronized from SharePoint, Google Drive, and email systems, then stored in a vector database with structured metadata. Supabase manages metadata, access permissions, and usage analytics — with row-level security ensuring confidential client data remains accessible only to authorized project teams.

AI Model & Knowledge Logic

A Retrieval-Augmented Generation (RAG) system connects domain-specifically fine-tuned language models with the firm's proprietary knowledge base. The AI understands industry-specific terminology and consulting methodologies — not a generic language model, but one trained on how the firm actually works. McKinsey's internal AI tool "Lilli" demonstrates the potential: 72% of consultants actively use it, saving 30% of their research time. Our platform goes further: it automatically generates proposal building blocks from similar past projects, identifies cross-selling opportunities based on historical client data, and recommends the right specialists for new engagements.

Deployment & Monitoring

The Next.js dashboard provides a unified search interface where consultants query the knowledge base in natural language. Usage metrics reveal which knowledge domains are frequently accessed and where gaps exist. Automated quality checks flag outdated documents for review. A feedback loop lets users rate search results — continuously improving relevance over time.