Practical guidance for leaders
responsible for workforce readiness.
Use evidence-based frameworks to diagnose readiness gaps, design training around real decisions and give stakeholders clearer evidence than attendance or completion alone.
Start with the problem you need to solve.
Only topic areas with published guidance are shown. Additional research will appear here when it is ready to use.
Measurement & Methodology
The math and models behind readiness: decay functions, evidence weighting, and why readiness requirements resist a single global schema.
AI, Automation & the Changing Nature of Competence
As AI absorbs routine cognitive tasks, what 'ready' means changes — and why the reskilling bottleneck is actually a measurement bottleneck.
Latest articles
The Reskilling Gap Is Not a Training-Intent Problem. It Is a Readiness-Visibility Problem.
85% of employers plan to prioritize upskilling. 63% still name skill gaps as their top barrier. Those numbers aren't contradictory — they answer different questions. One measures intent. The other measures outcome. The space between them is the problem.
The PCI Call That Took Three Days
A single agent asked a caller to read their card number aloud. What followed took three days to contain. Here's what standard PCI-DSS training misses — and what actually prevents violations in contact centres.