The research problem, not the people.
Anonymous by design. No team photos, no founder bios. The work is the signal.
"Companies kept asking 'which jobs will AI replace?' when the right question is 'how does AI change the task mix in our workflows?' That shift in framing changes everything — from vague automation scores to specific, defensible redesign roadmaps."
Traditional job evaluation frameworks — Hay/Korn Ferry — measure job size: how many people report to you, how large is your budget. This worked when human value was determined by information access and resource control.
In AI-augmented organisations, AI has access to more information than any individual — making information access a weak differentiator. What remains scarce and valuable is not what you know, but what you can do with what you know that AI cannot.
Clarity Intelligence built WORA-X to measure this. The result is a task-level database covering 6,699 tasks and 1,208 roles across 31 function families — and the CVI™ framework for scoring human irreplaceability against market compensation data.
Every engagement starts from real workflow data — practitioner interviews, actual workflows, every task scored against a published rubric. Not JDs, not generic surveys.
Built for Vietnam's specific context: labour law, SBV/MOF regulation, GCC dynamics, and AI adoption pace meaningfully different from global benchmarks.
Fully documented rubric, calibrated against 2.86M market records. Transparent about what is expert judgment versus what is algorithmic output.
Validation is designed to be falsifiable. If deployment data contradicts the framework's predictions after 24 months, the scoring rubric will be revised.
WORA™, CVI™, and ALI™ are trademarks of Clarity Intelligence. The WORA methodology is publicly available for learning and non-commercial use. The CVI™ scoring engine, WORA-X Master Database, and ALI™ formula are proprietary and require a licensing agreement for commercial use.