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AI-Native HR: Omnissa’s CPO on Hyper-Personalization, Skills Intelligence, and Human Connection
Summary
How can HR lead AI adoption without losing the human core of work?
Sunaina Lobo, Chief People Officer at Omnissa—an AI-driven digital workforce platform carved out of VMware—shares how she’s building a modern “hire-to-retire” experience just six weeks into the role.
Sunaina explains why people teams must be change leaders, not just technology adopters, and how AI lets HR leapfrog legacy models like shared services to deliver truly personalized, scalable support.
She walks through a practical talent development use case—using conversational intelligence to transform career conversations—so managers can focus on relationships while AI captures insights and suggests development paths.
Sunaina also breaks down personalization in total rewards, the realities of a distributed workforce across 18 countries, the shift from rear-view HR metrics to predictive, insights-driven decision-making, and why engagement depends on hyper-human interaction and purpose-led cultures. If you’re redefining HR’s operating system, this episode offers a clear blueprint.
Timestamps
[00:45] – Guest intro: Omnissa’s VMware roots and Sunaina’s “hire-to-retire” mandate
[02:50] – Why HR must lead AI adoption: change management over tools
[04:45] – Leapfrogging shared services: AI bots for personalized employee support
[06:20] – Talent development, reimagined: conversational intelligence for career conversations
[09:00] – Total rewards in the AI era: from one-size-fits-all to hyper-personalization
[11:30] – Engagement is human: community, connection, and “putting the H back in HR”
[15:30] – Five focus areas: hyper-personalization, global talent, insights-driven HR, purpose, skills intelligence
[18:10] – Aligning product and people: building an AI-native employee experience
[18:50] – From anecdotes to evidence: using AI to connect HR metrics to business outcomes
[20:40] – Guardrails: augment with AI, but keep the human conversation central
Takeaways
- Lead AI adoption as a change initiative—design for human behavior, not just new tools.
- Map HR processes end-to-end; automate repeatable steps and reserve managers for high-value conversations.
- Flip career conversations with conversational intelligence to capture insights and generate development options.
- Personalize benefits and rewards based on employee life stage and preferences, not averages.
- Build community and manager capability to counter remote isolation and boost engagement.
- Shift from rear-view reporting to predictive, insights-driven HR and tie people data to business outcomes.
- Treat skills intelligence as a strategic asset—identify, develop, and deploy skills for competitive advantage.
Sponsor
AllVoices brings all your employee relations work together in one place. No more jumping between spreadsheets, emails, and legacy systems just one place to document and manage reports, cases, investigations, and performance conversations. It helps you run a more consistent process, takes busywork off your plate with AI, and makes it easier to spot trends early, so you can work proactively, not just put out fires.
See a demo at https://www.allvoices.co/
By Rebecca TaylorAI-Native HR: Omnissa’s CPO on Hyper-Personalization, Skills Intelligence, and Human Connection
Summary
How can HR lead AI adoption without losing the human core of work?
Sunaina Lobo, Chief People Officer at Omnissa—an AI-driven digital workforce platform carved out of VMware—shares how she’s building a modern “hire-to-retire” experience just six weeks into the role.
Sunaina explains why people teams must be change leaders, not just technology adopters, and how AI lets HR leapfrog legacy models like shared services to deliver truly personalized, scalable support.
She walks through a practical talent development use case—using conversational intelligence to transform career conversations—so managers can focus on relationships while AI captures insights and suggests development paths.
Sunaina also breaks down personalization in total rewards, the realities of a distributed workforce across 18 countries, the shift from rear-view HR metrics to predictive, insights-driven decision-making, and why engagement depends on hyper-human interaction and purpose-led cultures. If you’re redefining HR’s operating system, this episode offers a clear blueprint.
Timestamps
[00:45] – Guest intro: Omnissa’s VMware roots and Sunaina’s “hire-to-retire” mandate
[02:50] – Why HR must lead AI adoption: change management over tools
[04:45] – Leapfrogging shared services: AI bots for personalized employee support
[06:20] – Talent development, reimagined: conversational intelligence for career conversations
[09:00] – Total rewards in the AI era: from one-size-fits-all to hyper-personalization
[11:30] – Engagement is human: community, connection, and “putting the H back in HR”
[15:30] – Five focus areas: hyper-personalization, global talent, insights-driven HR, purpose, skills intelligence
[18:10] – Aligning product and people: building an AI-native employee experience
[18:50] – From anecdotes to evidence: using AI to connect HR metrics to business outcomes
[20:40] – Guardrails: augment with AI, but keep the human conversation central
Takeaways
- Lead AI adoption as a change initiative—design for human behavior, not just new tools.
- Map HR processes end-to-end; automate repeatable steps and reserve managers for high-value conversations.
- Flip career conversations with conversational intelligence to capture insights and generate development options.
- Personalize benefits and rewards based on employee life stage and preferences, not averages.
- Build community and manager capability to counter remote isolation and boost engagement.
- Shift from rear-view reporting to predictive, insights-driven HR and tie people data to business outcomes.
- Treat skills intelligence as a strategic asset—identify, develop, and deploy skills for competitive advantage.
Sponsor
AllVoices brings all your employee relations work together in one place. No more jumping between spreadsheets, emails, and legacy systems just one place to document and manage reports, cases, investigations, and performance conversations. It helps you run a more consistent process, takes busywork off your plate with AI, and makes it easier to spot trends early, so you can work proactively, not just put out fires.
See a demo at https://www.allvoices.co/