What's actually automatable today across common business roles, no hype.
212 business roles analyzed across 10 departments
Data-driven insights from comprehensive role analysis
with agentic AI, MCP, and production-ready tools in 2026
Agentic AI and workflow automation have pushed most roles above 80% across all departments.
Every department now above 78% automatable
Clear correlation between process standardization and automation success rates.
AI recruits, onboards, and manages talent end-to-end
Even relationship-dependent roles are heavily AI-augmented with AI copilots handling scheduling, analysis, and communication drafting.
107 of 212 roles (50%) show immediate high-ROI automation potential. Success depends more on data quality and process standardization than on advanced AI capabilities.
Department-specific automation opportunities and recommended starting points
Transparent analysis framework for automation potential assessment
Breaking down each role into discrete, measurable tasks with complexity and frequency scoring.
Assessment of structured data inputs, decision rules, and outcome measurability for each task.
Regulatory, compliance, and risk factors that limit or require human oversight.
ROI = (Labor Time Saved + Error Reduction + Efficiency Gains) ÷ (Software + Implementation + Training Costs)
All estimates use conservative automation percentages and include full implementation costs.
Validation against McKinsey, Gartner, and WEF automation research and real implementation data.
Use our AI Readiness Scorecard and ROI Calculator to apply this methodology to your specific organization.
After download, get invited to a short briefing session to discuss implementation for your organization