Quintex unifies employee pulse, skills alignment, goal tracking and AI readiness into one continuous picture of your workforce — so you can lead with evidence, not assumption.
Quintex operates across the Check-In Layer, Personal Pulse, and Organisation Layer — giving each stakeholder exactly the signal they need, when they need it.
Lightweight monthly check-ins across five dimensions — Sentiment, Capacity, Burnout & Recovery, Agency, and Clarity. Self and manager perspectives combined into a single alignment score.
A 62-skill taxonomy mapped across eight domains and four mastery levels. Live radar visualisation with self-assessment, manager view, and 3-month comparison mode. Goals tracked alongside skill evidence.
Aggregate alignment scores, departmental skill heat maps, and manager-level reporting across the full organisation. Identify lagging teams and high performers before it becomes a problem.
Admins configure 75+ curated role-specific skills across Finance, Sales, Marketing, Technology, People, Operations and Product — seeded from real-world role taxonomies and layered onto the core 62-skill framework.
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Four steps from onboarding to organisation-wide insight.
Invite employees and configure role-specific skill sets for each department. The platform populates OLAI scores from Quintex's curated taxonomy automatically.
Employees complete a brief pulse across five dimensions. Managers add their layer. Scores aggregate in real time into department and org-wide dashboards.
The AI Enablement layer surfaces each employee's OLAI score, their AI readiness index, skill-level trajectory data, and shift opportunities ranked by impact.
Leaders receive opportunity reports by department. Rule-based recommendations identify where to invest in upskilling, where AI can amplify output, and where human capability is irreplaceable.
The Quintex AI Enablement Platform assigns every skill an OLAI score — Opportunity to Leverage AI — across five levels. Teams understand where AI can amplify output, and where irreplaceable human judgement is the competitive advantage.
The Quintex approach is grounded in leading AI labour market research — including findings from Anthropic and Gartner that underscore why workforce intelligence is now business-critical.
Anthropic's new measure of AI displacement risk — "observed exposure" — combines theoretical capability with real-world usage data. The findings show Computer Programmers at 75% task coverage, Customer Service at 68%, and Data Entry at 67%. Crucially, occupations with higher observed exposure are projected by the BLS to grow less through 2034, giving organisations a measurable signal to act on now.
Gartner's framework identifies how AI deployment creates downstream consequences on workforce size, roles and ways of working — often in unexpected ways. Their four-scenario model shows that even when a single outcome is planned, all four typically emerge. By 2030, CIOs expect 0% of IT work to happen without AI — 75% human-augmented, 25% fully automated.
59% of employees will require significant retraining by 2030, with nearly 40% of core skills expected to change. AI fluency is now a core workplace capability on par with leadership and creativity.
WEF reskilling guide ↗Training alone rarely drives sustained behaviour change. Only 6% of workers retain changes from onboarding videos alone. Upskilling embedded in daily workflow produces 3–4x higher adoption rates.
Read McKinsey analysis ↗89% of organisations say their workforce needs improved AI skills. Yet only 6% have begun upskilling in a meaningful way. Executives estimate 40% of their workforce needs reskilling within three years.
IBM upskilling insights ↗AI's impact on workforce planning has moved from speculation to strategy. Here is what the leading voices are saying right now.
Anthropic introduces a new measure of AI displacement risk — "observed exposure" — that bridges the gap between theoretical capability and real-world usage. The early evidence suggests no widespread unemployment yet, but hiring of younger workers in exposed occupations is already slowing.
Read the research paperGartner research frames AI's workforce impact not as mass unemployment but as a complex reshaping of roles, team dynamics, and business models — often in directions organisations didn't plan for.
Read the Gartner frameworkA survey of over 700 CIOs found a complete consensus: all IT work will involve AI within five years. Three-quarters will be human-augmented, a quarter fully automated. The question is readiness — not timing.
View Gartner survey findingsThe WEF Future of Jobs Report estimates 40% of core skills will change over the decade. AI fluency is now considered a core workplace capability on par with leadership and creative problem-solving.
WEF Future of JobsSeven in ten employees ignore onboarding videos and learn by doing. Only 21% of organisations believe they're upskilling effectively, despite 53% saying it's a priority. Embedding learning into workflow is the difference.
Read McKinsey's analysisMicrosoft and LinkedIn research shows GenAI is expected to accelerate skills obsolescence from 50% to 68% by 2030. 91% of L&D professionals say continuous learning is more critical than ever for career success.
Read the SHRM reportWe had no way to know which roles were most exposed to AI disruption or whether our people understood that exposure themselves. Quintex gave us the framework to have that conversation.
The radar chart with the AI exposure layer sitting alongside skills data is genuinely new. It changes the conversation in one-to-ones from past performance to future readiness.
What I needed wasn't a report telling me AI is coming. I needed something that told me specifically which parts of my team's work would shift and what to do about it. That's Quintex.
The only question is whether you have the intelligence to navigate it.