The Measurement Layer the AI Era Skipped
Every AI vendor grades its own homework. A vendor-neutral measurement layer changes who defines the return. Here is the framework, and why it is built to last.
Research, analysis, and commentary on workforce intelligence, AI adoption, and human capital strategy from the Levos.AI team.
The Measurement Layer the AI Era Skipped
Every AI vendor grades its own homework. A vendor-neutral measurement layer changes who defines the return. Here is the framework, and why it is built to last.
84% of Companies Have Not Redesigned Jobs Around AI
Deloitte reports 84% of companies have not redesigned jobs around AI, while most say processes changed. Three objects, three speeds, one blind dashboard.
AI Portfolio Management: Four Practices, and the Fourth One Is Rare
Gartner defines an AI high performer by four operating practices, not by models or budget. Three of them are common. Almost nobody runs the fourth.
Your HRIS Knows Who Did the Work. The AI Value Question Is About What the Work Produced.
A system of record holds the employee record. Measuring AI value needs the task and the dollar. That is a difference in unit, not a gap in the roadmap.
The AI ROI Gap: What the Companies Getting Value Do Differently
PwC finds 20 percent of companies capture 74 percent of AI's value. The dividing line is not more tools. It is measuring what AI actually changes at work.
The Visier Alternative for Teams Measuring What AI Returns at Work
Visier is a strong people analytics platform. When the question becomes what AI returns inside the work, here is where a team outgrows it and what sits above.
The Lattice Alternative for Teams Measuring AI Workforce ROI
Lattice runs the performance cycle well. When the question becomes what AI returns across the workforce, here is where a team outgrows it and what sits above.
Workforce Intelligence vs People Analytics: Why the Category Is Splitting in 2026
People analytics reports what HR already knows. Workforce intelligence measures what work actually shows. Here is why the category is splitting in 2026.
From Experimentation to Scale: The Four Operational Shifts AI Programs Need to Make
Most organizations are stuck running AI experiments without the cross-functional measurement to know which ones are ready to scale. Here are the four operational shifts required to graduate AI from pilot to production.
The 42% Problem: Why Half of AI Initiatives Stall at the ROI Wall
PwC reports 42% of companies are stuck on AI ROI. The problem is not access to AI. The problem is measurement. Here is what breaking through actually requires.