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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 Readiness Assessment
AI Strategy
AI Tools & Integration
Team AI Upskilling
Schedule a call with a Leland team member who can help you explore your options.
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Get help with AI Strategy, AI Tools & Integration, and .
Adam also coaches for AI Automation & Agents and Management Consulting. View all.

Joined January 2025
5.0
AI & LLM Automation for Businesses | Built Systems for Disney & Goldman
I have designed and implemented bespoke AI automation solutions for businesses ranging from sole proprietors to Disney and Goldman Sachs. I started my career doing applied AI research at a NYC VC firm, studying how LLMs could solve real business challenges. I even launched a startup, raised a seed round, and hired a CEO. I then moved into strategy consulting at LEK Consulting, working across a wide breadth of challenges— cost reduction for equipment manufacturers, sales expansion for cybersecurity software, new product launches for SMBs, marketing strategy for consumer services companies, and everything in between. Since then, I've worked in Product and Operations at two different AI companies, backed by investors like Y Combinator and Insight Partners, building agentic systems to automate processes for companies of all sizes.
5h+ of coaching