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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
Configured AI workspaces per team/role
Complete library of structured context files, connected integrations, documented custom skills, and a maintenance guide.
Coaching delivered via live sessions.
Services included:
AI Agents
AI Automation
AI Tools & Integration
Schedule a call with a Leland team member who can help you explore your options.
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Get help with AI Fundamentals, AI Tools & Integration, and .
Adam also coaches for AI Strategy & Transformation and Management Consulting. View all.

Joined January 2025
5.0
Build AI Automation Systems with an AI Solutions Architect
I have worked as a product manager and solutions engineer at 2 YC-backed AI companies, where I led the design and implementation of bespoke automation systems for companies in diverse industries. I got to see firsthand what happens when you take an intelligent workflow and drop it into a company's operations: teams reorganize around higher-value work, costs drop, and leaders get time back to focus on growth instead of putting out fires. I have also started my own AI Automation company, Optimal AI. I work with companies to map out their standard operating procedures, understand the true cost of their most important business outcomes, and identify which of those outcomes can be reached materially improved with AI and automation. I also help teams and individuals actually use AI well — not just install tools, but build what I call a "context operating system": structured AI workspaces with the right connectors, skills, and business context wired in so that every employee has an AI partner that genuinely understands their role and their company. This isn't prompt engineering tips. It's systems design for the age of AI assistants.
5h+ of coaching