AI Context Operating System — Evaluation & Full Build

Organizations that want every employee to have an AI partner that understands their company, their role, and their workflows — not a generic chatbot. Most companies adopt AI tools and get generic results because the AI has zero context about the business. A Context Operating System fixes that. It's the infrastructure layer between your team and AI — a structured framework of business context, SOPs, connectors, and custom skills that turns a blank-slate assistant into one that works like a trained team member from day one. What's included: -- Discovery sessions: audit of team roles, workflows, tools, and knowledge gaps -- Design and build of a role-specific Context OS for your organization — structured markdown frameworks containing your business context, SOPs, decision criteria, and institutional knowledge -- Configuration of AI workspaces per team or role: custom skills (reusable automated capabilities), connectors to your existing tools (Slack, Google Drive, CRM, databases, etc.), and tailored instructions -- Integration testing: validate that every workspace produces accurate, context-aware outputs on real tasks -- Documentation and training: your team walks away knowing how to use, maintain, and extend the system as your business evolves -- 1 week of post-delivery support for tuning and optimization