AI for Internal Mobility: A Guide to Retention, Equity, and ROI

Categories
Enterprise-level Information, Matching, Skills

AI for internal mobility uses skills data and machine matching to surface employees for internal roles, projects, and career paths they’d otherwise never see, before those employees start looking outside the company instead. It’s the layer that turns internal mobility from a program that depends on who knows whom into one that runs on evidence: […]

AI Workforce Impact Measurement: Closing the Gap Between Perceived and Real Impact

Categories
Skills

AI workforce impact measurement is the practice of tracking what AI adoption actually does to workforce output, capability, and risk, using verified data rather than confidence surveys. Most organizations can already tell you how their employees feel about AI. Far fewer can tell you, with evidence, what AI has actually changed about how those employees […]

Skills Assessment Tools: The 2026 Buyer’s Guide for Hiring, Reskilling, and Internal Mobility

Categories
AI and HR, Business, Skills

A skills assessment tool used to mean one thing: a test candidates took before you decided whether to hire them. That definition is now too narrow to be useful. In 2026, the most valuable use of a skills assessment tool is not screening people at the door, it is understanding what your existing workforce can […]

How to Create a Dynamic Skills Taxonomy (Without the Spreadsheet)

Categories
Skills

If you’ve ever tried to maintain a company-wide skills inventory in Excel, you know the frustration. You spend weeks mapping competencies, categorizing proficiencies, and organizing everything into neat columns, only to realize the moment you hit “save” that half your data is already outdated. Welcome to the “Spreadsheet of Doom,” where skills data goes to […]