40% of Skills Are Going Stale — Here's the Workday Fix

The Deployment Gap: Bridging the Divide in AI Adoption

Companies are pouring investment into AI tools, yet most fail to turn that spend into real value — a divide known as the deployment gap. In this episode, we unpack why the gap persists, from the absence of ongoing training to employee anxiety about job displacement. We then outline practical strategies to close it, including personalized, AI-driven learning paths and clear communication that positions AI as a complement to human skills rather than a replacement.

GCC Workforce Planning: When Headcount Forecasting Becomes a Legal Obligation

Workforce planning software is usually about strategy — aligning headcount with growth plans, running scenarios, optimizing budgets. In the Gulf Cooperation Council, it's something else entirely: it's a compliance function, and the fines are real. In this episode, we break down what makes GCC workforce planning genuinely different — nationalization quotas with no economic exceptions, UAE PDPL data residency requirements, and integrations with GOSI, MOHRE, and the Wage Protection System that most global platforms simply don't offer out of the box. We compare seven platforms — Workday Adaptive Planning, Anaplan, Orgvue, Visier, SAP SuccessFactors, iMocha, and Eightfold AI — against the criteria that actually matter for employers in the UAE, Saudi Arabia, Qatar, and Oman in 2026. Spoiler: no single tool checks every box, and most serious GCC organizations end up running a two-platform stack. Whether you're already on SAP or Workday, running a Vision 2030 transformation, or building a skills-first workforce strategy, this episode gives you the decision framework to pick the right combination — and avoid paying for sophistication that doesn't translate to your regulatory environment.

The HR Chatbot Jungle: 8 AI Platforms That Know What They're Doing

AI adoption in HR doubled in a single year — from 26% to 43%. But 'AI chatbot' has become a catch-all label for wildly different tools. This episode cuts through the noise with a practical buyer's guide to the top AI candidate engagement platforms in 2026. From Paradox's Olivia — which helped Chipotle hire 75% faster — to OVI's all-in-one chat-native ATS with built-in AI sourcing and audio screening, we break down which platform actually fits your hiring context. Whether you're running high-volume hourly hiring, building an enterprise talent experience, or scaling a growth-stage startup, there's a very different answer. We map eight platforms by use case: OVI, Paradox, Humanly, Phenom, HireVue, XOR, Eightfold AI, and SenseHQ. And we share the three questions every HR buyer needs to answer before choosing a platform. Brought to you by OVI — the chat-native ATS with AI sourcing and audio screening built in. Plans start at $99/month. Learn more at ovi-me.com.

Why 80% of Companies Can't Measure Their Most Important Hiring Metric

There's a strange paradox sitting at the heart of modern recruiting. Ask any HR leader what their most important hiring metric is, and they'll tell you instantly: quality of hire. Nearly nine out of ten say it's their top priority. And yet only one in five companies actually measure it. That 68-point gap between what we say we care about and what we actually track is costing companies millions — and most leadership teams don't even realize it. In this episode, we dig into why quality of hire is so hard to measure despite being so clearly valued. It's not laziness or apathy. There are five structural reasons it fails: data lags, siloed systems, missing collection mechanisms, misaligned incentives, and AI tools being adopted without any outcome tracking. We break them all down. We also cover the formula teams use to actually calculate quality of hire, what good looks like (75% is the baseline, 85% means you're in the top tier), and what talent engineering — treating hiring like an engineering problem with measurable pipelines — actually means in practice. If you're spending more on hiring technology every year and wondering whether any of it is working, this episode is for you.

How ADCB Hit 100% Emiratisation Using 150 AI Use Cases

Walk into any Abu Dhabi Commercial Bank branch in Al Ain today, and every single employee you meet is an Emirati national. Not a target on a slide deck — a completed milestone. ADCB achieved 100% Emiratisation across its Al Ain operations in 2025, powered by Meedaf: a bank-wide AI transformation programme with over 150 active AI use cases. In this episode, we dig into what makes Meedaf different from the AI hiring tools most UAE banks are deploying. This isn't CV screening bolted onto an existing process — it's AI woven into workforce planning, internal mobility, performance management, and compliance monitoring across the entire organisation. When AI touches every function, your talent strategy stops being downstream of the business and starts being part of the operating model itself. The numbers are striking: 2,054 Emirati employees, 698 promoted in 2025, 40% of executive management Emirati, and plans to double the Al Ain national workforce in 2026 with 500 new Emirati hires across the bank. ADCB is also targeting AED 4 billion in financial value from the programme. For HR leaders across the GCC, the lesson here is architectural. AI delivers its highest impact not when it handles one stage of the hiring funnel, but when it's embedded into the infrastructure that governs how talent is sourced, developed, and retained. ADCB built the whole house. Here's what that looks like — and what it means for everyone else.