AI-Driven People Management: Next-Level Leadership

Finding the right talent has always been part science, part art—and a whole lot of manual work. Today, AI is rewriting that playbook, helping managers hire faster, smarter, and more inclusively than ever before. From writing job descriptions to predicting candidate success, this lecture shows how AI is reshaping every stage of the recruiting process.

You’ll learn:

• How generative AI tools like Textio create inclusive, high‑impact job postings.

• Ways platforms such as Eightfold.ai and Beamery streamline sourcing, screening, and scheduling.

• How predictive analytics forecasts candidate performance and fit.

• The compliance and bias challenges that come with AI‑driven hiring—and how to mitigate them.

• What managers can do to balance automation with fairness and human judgment.

First impressions matter—and for new hires, onboarding can make or break that experience. Instead of overwhelming employees with forms and information, AI is turning onboarding into a personalized, interactive journey that continues into lifelong learning. This lecture explores how AI empowers managers to create smarter, more adaptive, and more human development experiences.

You’ll learn:

• How AI assistants like MiPAL streamline onboarding and support new hires.

• How adaptive learning platforms such as Sana, Docebo, and Degreed personalize growth paths.

• How generative AI tools like Talespin simulate real‑world coaching and communication scenarios.

• How NASA’s knowledge graph model helps map skills, connect talent, and match learning to opportunities.

• Why human oversight and transparency are vital in AI‑driven learning systems.

Performance reviews and engagement surveys don’t always tell the full story—but what if you had deeper insights, delivered in real time? In this lecture, we explore how AI is transforming the way managers track progress, recognize contributions, and support their teams proactively. It’s not just about data—it’s about connection, context, and getting ahead of problems before they snowball.

You’ll learn:

• How platforms like IBM and Qualtrics use AI to prompt coaching and surface team sentiment.

• How sentiment analysis and predictive models can flag burnout and attrition risks early.

• How generative AI can help draft clearer, more meaningful feedback and recognition.

• What ethical guardrails are needed to keep performance monitoring respectful and fair.

• Simple ways to integrate AI insights into your day-to-day management habits.

If you’ve ever lost a whole afternoon wrangling shift schedules or chasing policy updates, this lecture is for you. AI is stepping in to streamline some of the most time-consuming, high-stakes areas of operations—without cutting corners on compliance or fairness. From smart scheduling to policy generation, it’s not just about efficiency—it’s about leadership that scales.

You’ll learn:

• How companies like McDonald’s and Siemens use AI to optimize staffing and reduce scheduling friction

• What modern workforce management systems do in real-time, and how they adapt to last-minute changes

• How generative AI is being used to write HR policies, employee handbooks, and internal documentation

• What to watch for when it comes to automated compliance—and how to stay ahead of new laws like the EU AI Act and Colorado’s AI regulations

• What it looks like to lead responsibly when AI is helping call the shots

Data is everywhere—but are you turning it into action, or just watching dashboards? People analytics isn’t just for HR analysts anymore. When used well, it gives managers the clarity to lead better, faster, and more fairly—without getting lost in spreadsheets or buzzwords.

You’ll learn:

• The four types of people analytics (descriptive, diagnostic, predictive, prescriptive) and how to use them

• How to move from raw data to decisions using the analytics lifecycle

• Why cross-functional data beats siloed metrics—and how to collect it responsibly

• A real-world example from Ørsted that shows how analytics improved leadership development

• A five-step starter plan for launching your own analytics initiative—even if you're not a data expert

It’s one thing to experiment with AI tools—it’s another to deploy them in a way that builds trust and actually sticks. Without the right guardrails, even the best AI systems can backfire. That’s why implementation isn’t just an IT decision—it’s a people management strategy.

You’ll learn:

• How to use the AIHR Risk Framework to navigate external, internal, and governance-related AI risks

• What Seramount’s six-step accountability checklist looks like in practice (data review, bias testing, transparency, and more)

• What real companies like AXA, SAP, and Rolls-Royce are doing to implement AI responsibly

• How to manage resistance and build buy-in using clear communication, co-design, and targeted training

• Why every AI rollout needs a “GO/NO-GO” huddle and a long-term plan for ethical oversight

If you’ve ever stared at a blinking cursor, knowing AI could help but not sure how to start—this lecture is for you. Prompt engineering is the skill that turns generative AI into a practical partner, and it’s quickly becoming a must-have in every manager’s toolkit.

You’ll learn:

• The four elements of effective prompting: clarity, context, constraints, and iteration

• How to reduce hallucinations and bias by grounding AI responses in real inputs

• Which types of tools are out there—from chatbots to enterprise HR systems to productivity assistants

• How to evaluate tools for data privacy, integration, and ease of use

• Real examples of using AI to summarize meetings, write feedback, and create development plans

AI isn’t standing still—and neither can managers. As generative tools evolve into autonomous agents, and new job roles emerge around them, the future of people management is already being reshaped.

In this forward-looking lecture, you’ll explore:

• What AI agents are and how companies like Lattice and Moderna are using them in HR workflows

• Why inclusive AI adoption matters—and how to address gaps in usage across gender, role, and ability

• Real-world examples of upskilling and job redesign, including IKEA’s reskilled service teams and the rise of roles like HR GPT Designer

• The growing landscape of AI policy and what managers need to know about EU, U.S., and global frameworks

• How to stay proactive—so you’re not just reacting to change, but helping lead it responsibly

When scaling fast, traditional recruiting tactics can quickly become the bottleneck. RingCentral faced that challenge head-on—and turned to AI to break through it.

This in-depth case study explores how RingCentral used AI to streamline and modernize their hiring process at scale. You’ll learn:

• What problems they faced—and why their existing systems couldn’t keep up

• How they used Findem’s attribute-based AI to build richer talent profiles and automate outreach

• What impact they saw across pipeline quality, diversity, and hiring speed

• The challenges they faced with data quality, adoption, and governance—and how they overcame them

• A five-step checklist you can use to plan your own AI hiring pilot with clarity and confidence

You’ve made it to the final lecture—but this isn’t the end. It’s the beginning of turning everything you’ve learned into action. Whether your goal is to save time, lead more fairly, or just manage smarter, now’s the time to build your plan.

This wrap-up session gives you the tools to move from insight to implementation:

• Review the course’s key themes and high-impact use cases for AI in people management

• Build a 30-60-90 day action plan to test, pilot, and scale AI in your day-to-day work

• Use the Manager’s AI Governance Checklist to keep your tools ethical, compliant, and effective

• Learn prompt patterns for writing, coaching, and decision-making tasks

• Create your personal learning cadence to stay current without getting overwhelmed