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.

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.

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.

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

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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.

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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.

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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.

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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.**