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Episode Notes ** On this episode of Talent Experience Live, we close out the 6 Levels of Intelligence & Automation series with the most advanced stage: Level 5, Fully-Integrated Automation and Fully-Integrated Intelligence. At Level 5, AI is no longer a feature layered onto HR processes. It's the infrastructure those processes run on. Autonomous intelligence operates across the entire talent lifecycle, adapting continuously and driving outcomes without constant human direction. You're here if end-to-end workflows run agent-driven, with humans setting strategy rather than managing steps. **

Episode Notes Notes go here ** On this episode of Talent Experience Live, we get into a gap that's hard to ignore: 61% of HR leaders are deep into generative AI rollouts, yet 88% say they haven't seen real business value. The answer isn't more AI — it's self-service. When HR ops teams can't configure, test, or move without filing an IT ticket, no amount of technology closes the distance between investment and impact. We cover what that dependency actually costs, what real self-service infrastructure looks like, why IT leaders should want to hand over the keys, and what Fosway's 2025 research signals about the self-service moment for HR. **

Episode Notes At Level 4, automation manages the majority of workflows and intelligence actively supports decision-making at scale. AI agents work alongside teams with speed, precision, and contextual awareness. This episode is part of a 6-part series exploring what mature, applied AI looks like in practice. This episode explores Level 4: High Automation and High Intelligence. You’re likely here if AI handles most execution while humans focus on strategy, oversight, and continuous improvement. What We Cover in This Episode: How High Automation changes operating models What High Intelligence enables beyond recommendations. The rise of agent-based workflows How skills, signals, and context drive smarter decisions Why governance and explainability become non-negotiable How organizations measure success differently at this level The cultural shift required to trust AI at scale What separates Level 4 leaders from early adopters If AI feels embedded rather than bolted on, you’re here.

Episode Notes In this episode of Talent Experience Live (TXL), Devin Foster sits down with Kyle Forrest, Future of HR Leader at Deloitte, to explore how artificial intelligence is redefining the role of HR. As agentic AI begins planning, orchestrating, and executing workflows, HR teams are facing a pivotal moment: remain focused on traditional operations or evolve into architects of the future workforce. The conversation explores how HR leaders can shift from supporting the business to actively shaping how work gets done across the enterprise. The discussion also unpacks what an AI-enabled HR function looks like in practice, from AI-assisted and AI-powered work to the emerging role of HR as workforce solution architects. Kyle shares insights from their research on AI maturity in HR, the barriers organizations face when scaling AI, and how HR teams can reinvest newly freed capacity into higher-value strategic work. For HR leaders navigating rapid technological change, this episode offers practical perspective on how to rethink HR’s role and lead organizations into the next era of work.

Episode Notes IAMPHENOM is almost here, and this episode of Talent Experience Live sets the stage for what's ahead in Philadelphia! Building on two recent episodes — one focused on how to make the most of your conference experience and another taking listeners on a tour of the city itself — this episode brings it all together with a final look at what to expect from one of HR's most anticipated events of the year. From navigating 100+ breakout sessions to connecting with peers tackling similar talent challenges, IAMPHENOM is designed for HR professionals who want to turn AI and automation insights into real action. Whether you're planning your agenda, scoping out customer-led presentations, or looking forward to the Rocky Run, this episode will help you arrive ready.

Episode Notes On this episode of Talent Experience Live, we continue the 6 Levels of Intelligence & Automation series by unpacking Level 3: Conditional Automation and Conditional Intelligence. At Level 3, things start to feel different. Automation handles most of the work within defined boundaries. Intelligence adapts based on context. Humans step in primarily for exceptions. For the first time, scale feels achievable. You're likely here if your systems can operate autonomously under clear guardrails, but still rely on human intervention when edge cases arise. What We Cover in This Episode:What “conditional” really means in automation and intelligence How exception-based oversight changes team capacity Where intelligence begins shaping outcomes, not just workflow steps Why trust and governance become critical at this stage The risks and weaknesses Level 3 exposes in data and design

Episode Notes ** IAMPHENOM is more than a conference. It is an opportunity to step back, get aligned, and move your talent strategy forward with clarity. In this episode of Talent Experience Live, we break down what attendees can expect this year, from applied AI and industry-aligned breakout sessions to keynote moments and the community experiences that make it memorable. Get practical advice on how to prepare and divide and conquer priorities with your team so you can leave with actionable ideas that actually turn into progress. If you want to maximize your time onsite and walk away with a clear plan, this conversation will help you get there. **

Episode Notes On this episode of Talent Experience Live, we continue the 6 Levels of Intelligence & Automation series by unpacking Level 2: Partial Process Automation and Semi-Automated Intelligence. At Level 2, automation starts connecting steps. Entire processes begin to move with less human effort. Intelligence helps rank, score, and recommend. On paper, this looks like real progress. You're likely here if workflows are automated end-to-end, but humans still approve, intervene, and validate most outcomes. What We Cover in This Episode: How partial process automation changes operational flow Why speed improves but consistency often doesn't The difference between "automated" and "adaptive" Why many organizations plateau here and what gaps still exist beneath the surface If your processes are automated but still fragile, this episode explains why.

Episode Notes ** On this episode of Talent Experience Live, we continue the 6 Levels of Intelligence & Automation for HR series by unpacking Level 1: Task-Level Automation and Assisted Intelligence. When teams move off Level 0, the first instinct is to automate what's repetitive and assist what's manual. Emails get triggered. Scheduling improves. Chatbots answer basic questions. Efficiency ticks up. But outcomes stay mostly the same. What We Cover in This Episode: What task-level automation actually solves and what it doesn't Real examples of Level 1 automation in HR Why efficiency gains don't equal better outcomes The hidden ceiling of point-based automation and early warning signs you're over-investing in tools without strategy If AI helps your team move faster but not smarter, you're likely here. **

Episode Notes ** When pressure mounts to “use AI,” most HR and talent teams jump straight to tools. They automate a task here, add AI assistance there, and hope momentum follows. But without understanding where you actually are on the maturity curve, those efforts rarely compound. This episode kicks off a 6-part series exploring Phenom’s 6 Levels of Intelligence & Automation and the journey organizations take from manual, fragmented work to fully integrated, applied intelligence across the talent lifecycle. Each level represents a fundamentally different operating reality. Not just better tools, but a different way work gets done. This episode introduces the full framework and focuses on Level 0: No Intelligence, No Automation, the invisible baseline most organizations underestimate. You’re likely operating at Level 0 if work feels manual, slow, inconsistent, and overly dependent on heroic human effort.**

Episode Notes Is your AI strategy for HR a winning deal, or are you about to walk away empty-handed? Following our recent "2026 Talent Trends: The Real Cost of Getting AI Wrong" webinar with guests from Deloitte and Truist, we’re highlighting the game-changing insights every HR leader should know.  Mike DeMarco joins us to unpack the five critical trends that will make or break your AI strategy this year. Tune in as we get the real talk on multi-agent systems, governance best practices, and proving ROI in an agentic reality. Get the inside scoop on the deals you need to make, and the ones you need to walk away from in 2026.  Ready to see what's in the briefcase? Let's play.

Episode Notes AI has become one of the biggest conversations in HR — but what’s actually happening inside organizations today? In this session, we unpack Phenom’s State of AI & Automation for HR: 2026 Benchmarks Report, sharing how organizations are using AI to automate hiring workflows, scale personalization, and augment human capability. We’ll explore maturity patterns across industries, highlight the real-world impact already being achieved — even at early adoption stages — and map the journey toward intelligent agents that operate responsibly and measurably. This is a data-driven conversation about the future of work and the pivotal role HR leaders play in guiding their organizations toward scalable AI productivity.

Episode Notes Healthcare recruiting is one of the toughest challenges in talent acquisition — especially at the scale of an academic medical center. In this episode of Talent Experience Live, we sit down with Jessica Silverman and Colin Dunham of UTHealth Houston to explore how her team is using AI and automation to drastically improve hiring. From award-winning recruiting recognition to achieving 91% of interviews scheduled within 24 hours, UTHealth Houston is setting a new standard. Find out how adoption took shape, key milestones that proved impact, and best practices other TA leaders can apply today — including one-way interviews, interview intelligence, and balancing high-volume hiring with personalization.

Episode Notes As 2026 approaches, many HR leaders share the same feeling: they’re eager to bring AI and automation into their work but unsure where to begin. And that’s completely normal — the roadmap has never been clear. In this episode of Talent Experience Live, we’ll break down the simple levels of AI and automation maturity, why most teams pause at the starting line, and how a clear roadmap transforms hesitation into momentum. If you’re overwhelmed, curious, skeptical, or just tired of the hype, this talk is your “You Are Here” moment.

Episode Notes What happens when a recruiter decides to break the mold and bring job opportunities straight to TikTok? In this episode of Talent Experience Live, we sit down with Mollie Stopher to explore how she’s using her personal TikTok to connect with job seekers in a way that’s authentic, engaging, and refreshingly human. From blending her personal and professional life online to surprising success stories and lessons learned, Mollie opens up about what it really takes to build trust and spark interest on a platform where attention spans are fleeting. Tune in to hear why Mollie believes personal branding is the future of recruiting, how she balances transparency with professionalism, and what she’s learned about showing up as her true self — even when the trolls come knocking. Whether you’re a recruiter, a hiring manager, or just TikTok-curious, you’ll walk away with real-world inspiration and practical tips for turning social platforms into powerful talent pipelines. **