🔹 Individual Contributors (IC)

Level Scope of Tech Enablement Human–AI Collaboration Problem Framing & Ethics Learning Agility & Tech Fluency Influence via AI & Automation
IC1 Beginner Uses ready-made AI tools under supervision Executes basic prompts, not always aware of AI limitations No risk awareness yet Learns quickly but needs close guidance Minimal impact
IC2 Junior Starts formulating tasks for AI independently Can validate simple AI outputs Recognizes potential AI errors Quickly adopts new tools Creates small automations
IC3 Intermediate Integrates several AI tools into workflow Uses AI as a “sparring partner” Can frame problems effectively for AI Actively learns emerging technologies Builds useful micro-automations for the team
IC4 Senior Implements AI practices for the team Orchestrates AI-driven workflows Raises ethical concerns (bias, data privacy) Coaches others on AI practices Scales impact through AI-driven design
IC5 Staff Establishes AI usage standards Delegates routine tasks to AI systems Builds decision-making frameworks with AI Keeps up with cutting-edge technologies Automates significant company processes
IC6 Principal Designs AI infrastructure Leads strategic AI initiatives Defines ethical policies for AI use Acts as a tech fluency evangelist Scales company-wide impact through systems

🔹 Managers (M)

Level Scope of Tech Enablement Human–AI Collaboration Problem Framing & Ethics Learning Agility & Tech Fluency Influence via AI & Automation
M3 Team Lead Introduces the team to basic AI/LLM tools Uses AI for coordination and reporting Identifies small risks and limitations Learns alongside the team Launches first team-level automations
M4 Manager Integrates AI into the entire team’s workflow Delegates part of managerial tasks (reports, planning) to AI Ensures ethical and accurate use of AI within the team Teaches peers and other managers Scales the team’s impact without increasing headcount
M5 Head of Builds AI practices across multiple teams Orchestrates several teams through AI systems Manages risks and data quality at department level Creates internal AI training and adoption programs Automates core departmental functions
M6 Director Defines AI strategy for the department Uses ML/LLM for forecasting, analytics, and decision-making Oversees ethical compliance and long-term risks Continuously updates AI strategy Drives business scaling through AI systems
M7 VP Aligns AI initiatives with company-wide goals Ensures cross-functional AI adoption across departments Shapes company policies on AI ethics Sponsors large-scale AI adoption programs Leads organizational scaling with AI
M8 C-level Defines global AI vision, builds an AI-driven organization Champions AI across the business ecosystem Accountable for strategic, ethical, and reputational risks Promotes a culture of continuous tech learning Transforms business models through AI and LLM adoption