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HR, We have a Problem: Live from the Cornerstone Rooftop at HR Tech

The HR Huddle · 2026-10-29 · 16 min

0:00--:--

Key moments - from our scoring

Substance score

36 / 100

Five dimensions, 20 points each

Insight Density7 / 20
Originality7 / 20
Guest Caliber10 / 20
Specificity & Evidence6 / 20
Conversational Craft6 / 20

Recorded live from the Cornerstone rooftop booth at HR Tech, this episode features Minnie Pier (Chief Marketing Officer) and Gunnar (Head of Product Strategy and Technology) discussing Cornerstone's accelerated product roadmap around AI and workforce management. Building on the May launch of Cornerstone Workforce AI and its foundational people graph, the company announces Workforce Planning and Agent Ready - two significant expansions designed to address how organizations can plan strategically while maintaining governance and compliance over AI agents operating within their systems. The conversation centers on a fundamental shift: moving beyond automation-focused AI implementations toward outcome-driven solutions that keep people at the center. Gunnar emphasizes how they've prototyped solutions in a week and deployed with major regulated customers in 10 weeks by focusing on specific business challenges - like reskilling veterans or identifying hidden skills - rather than generic data ingestion. Minnie and Gunnar stress the importance of unlearning traditional HR siloes; workforce planning only works when integrated with skills intelligence, learning, performance, talent mobility, and recruiting. For HR operators evaluating AI strategy, this episode offers a direct look at how enterprise HR platforms are being reimagined and what governance structures might be necessary as AI agents proliferate across organizational workflows.

Key takeaways

  • →Cornerstone launched Workforce Planning and Agent Ready as governance-first AI products, enabling strategic workforce decisions while ensuring AI agents operate within compliance and cultural standards.
  • →The people graph foundation combined with outcome-focused prototyping allows for rapid deployment - moving from concept to production in weeks rather than months, even in highly regulated industries.
  • →Workforce planning cannot succeed as a standalone function; it must integrate skills intelligence, learning, performance, talent mobility, and recruiting to address modern organizational challenges.
  • →Agent governance must be continuous and scalable, holding AI agents to the same accountability standards as human employees rather than implementing one-time compliance checks.
  • →Reframing AI implementation from task automation to outcome achievement - asking 'what business problem are we solving?' rather than 'what can AI do?' - drives more strategic and faster customer success.

About The HR Huddle

Hosted by WRKdefined Podcast Network. The show scores 54.0/100 on substance across its analysed episodes. See the full show profile.

Guests

Minnie Pier

Topics in this episode

workforce planningStrategic workforce planningAI governanceSkills-based hiringagent accountabilityWorkforce IntelligenceCornerstone Workforce AIAgent ReadyPeople GraphSkill Inference

Questions this episode answers

What did Cornerstone announce at HR Tech 2024?

Cornerstone announced enhancements to Cornerstone Workforce AI, including two major products: Workforce Planning (for strategic workforce strategy and skills-based capability planning) and Agent Ready (a governance framework ensuring AI agents comply with organizational policies, data access controls, and cultural standards).

What is Agent Ready and why does it matter?

Agent Ready is a continuous governance and evaluation system for AI agents within the Cornerstone platform. It ensures agents meet compliance requirements, handle data appropriately, and operate within organizational standards - treating AI accountability similar to how organizations manage human employee performance.

How quickly can Cornerstone deploy solutions?

Cornerstone's approach enables rapid deployment: prototypes can be built in a week, and full operational implementations with major regulated customers have been completed in 10 weeks, achieved by focusing on specific business outcomes rather than generic data integration.

Why is skills intelligence central to Cornerstone's workforce planning approach?

Workforce planning fails without skills data because organizations need to understand capabilities, not just headcount. Cornerstone integrates skills identification with learning, performance, talent mobility, and recruiting to create a holistic workforce strategy.

What is the people graph and how does it work?

The people graph is the foundational data layer within Cornerstone Workforce AI that intelligently connects workforce data across learning, talent, performance, and recruiting, enabling unified insights and agent-driven actions across traditionally siloed HR functions.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

7 / 20

The episode is primarily a vendor product-announcement interview with only occasional substantive ideas breaking through the marketing language. The AI governance framing ('agent ready') and the caution against automating for automation's sake offer modest value, but the majority of airtime is filler, pleasantries, and vague 'unlock potential' rhetoric.

do we really want an agent to make it easy to create thousand more job requisitions if it doesn't help you find the one right candidate?
we didn't decide to go slap agents on top of everything that we are already doing and say this is the innovation

Originality

7 / 20

There is one genuinely fresh framing - treating AI agent governance as analogous to employee performance management - but it is stated and quickly dropped rather than developed. Most of the thinking ('work is changing,' 'technology is a commodity, people are the winning recipe,' 'outcomes not features') is recycled AI-transformation boilerplate.

we would at least want to manage our agents as aggressively as we manage our human beings, our employees
technology is a commodity. You throw money, people are going to show up for vendors and multiple models

Guest Caliber

10 / 20

The guests are the sitting CMO and the product strategy lead at a real enterprise HR-tech vendor, so they have legitimate seniority and direct ownership of what they are describing. However, the conference booth-interview format constrains them almost entirely to product promotion rather than sharing hard operational lessons, which limits the realized value of their roles.

Minnie Pier is chief marketing officer for Cornerstone
my role is very similar to your roles like it is. Just unleash the potential with AI for Cornerstone

Specificity & Evidence

6 / 20

The episode contains very few concrete data points: a 10-week go-live timeline, a one-week prototype claim, and a vague reference to 'a very major European, highly regulated customer.' No customer names, no outcome metrics, no revenue or adoption figures, and no quantified ROI are provided throughout.

we've Kuna and team have done prototypes in the span of a week and then we're operational and live with very large, highly regulated industry customers. 10 weeks
We have gone live with a very major European, highly regulated customer

Conversational Craft

6 / 20

The hosts offer one genuine 'elephant in the room' challenge - noting that workforce planning is a big leap from Cornerstone's learning-and-talent identity - but the rest of the interview is largely validating softballs and enthusiastic affirmations. Claims about speed, customer success, and AI differentiation go entirely unchallenged.

Workforce planning's a big jump for you guys. I don't know that people would say cornerstone, the learning and talent organization is a workforce planning tool
That's really wonderful and really thank you both. Uh, this has been just fascinating

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Share of words spoken

  • Speaker E33%
  • Speaker C27%
  • Speaker D22%
  • Speaker B17%
  • Speaker A1%

Most-used words

workforce15agent11cornerstone10organization8trying8ready7agents7planning7bring7conversation7thank6human6help6learning6data6show5

Episode notes

Episode description In this special edition of HR We Have a Problem, recorded live at HR Tech, Cliff Stevenson and Stacey Harris sat down with Cornerstone’s Chief Marketing Officer Mini Peiris and Guna Jayaraman, who leads product strategy and technology. They recorded from the top of Cornerstone’s double-decker booth, and Cornerstone used the conversation to break news on two launches. The first is Workforce Planning, which builds on the Workforce AI foundation Cornerstone introduced in May. It treats planning as a skills and capabilities conversation rather than a headcount exercise. The second is Agent Ready, a governance layer that continuously evaluates every AI agent in your organization against your policies, your data permissions and the conduct you expect from your people. Together they talk about why technology is a commodity and people are the winning recipe, and why HR should manage AI agents as carefully as it manages employees. They also explain why the best AI strategies start with the outcome you’re after instead of the tool. If you couldn’t make it to HR Tech, consider this your VIP access.

Full transcript

16 min

Transcribed and scored by The B2B Podcast Index.

Speaker A: Welcome to the HR Huddle Podcast presented by Sapient Insights Group, the ultimate resource for all things hr. It's time to get m in the huddle.

Speaker B: Thank you and welcome to a very special episode of hr. We have a problem. Uh, no problem at all though when we talk about Cornerstone. I will admit to behind the scenes, we knew a little bit about this going in, but we are very excited. I believe we're breaking this news, uh, very exciting developments, uh, that we have. We have Gunnar and Minnie, uh, from Cornerstone to talk to us about this.

Speaker C: Yeah, sure. Why don't we have um, so hi everyone. This is, ah, on the floor. On the go.

Speaker B: On the rooftop.

Speaker C: On the rooftop. That's right. You guys have. We have

Speaker D: a double decker and it's the only one on show floor.

Speaker C: So

Speaker D: you know we can uh, you can. To quote Lion King, it's like our kingdom extends as far as the eye as where as the sun reaches.

Speaker C: Exactly. And for everyone who may not get the chance to know everybody. So Minnie heads um, up all of marketing for Cornerstone and Gunna heads up all of product strategy technology. He's really the brains behind a lot of the stuff that's going to be announced today. So we were excited to be able to get both of them to talk about what's happening over at the Cornerstone environment. Can both of you maybe tell us a little bit more about both your roles and then a little bit about sneak peek and then we're gonna, we're gonna ask you some questions about what's launching this week.

Speaker D: Sure, I'll start. Uh, uh, Minnie Pier is chief marketing officer for Cornerstone. The human pieces that we work on and that we, that we create to help organizations elevate their people, unlock all of the human potential in that workforce now very much in the era of AI

Speaker E: Guna. And uh, my role is very similar to your roles like it is. Just unleash the potential with AI for Cornerstone. What we can do, get our people ready and deliver the best for the customers.

Speaker C: If you want to start off with a few questions about what the product is that they're launching right now.

Speaker B: Yeah. I assume we're able to talk about this. Right? That's why we're here. That's right. Uh, you guys showed up very well in the Voice of the customer awards this year and the rankings across the board in a number of different areas clearly showing you're kind of tapped into solving the problems that are out there. Uh, anything really involving AI has gone from being, uh, wow, the big promise to okay, we need to Kind of understand it a little better, know what's going on. That is sort of the problem you were solving here, right? You're sort of in that business of helping people solve problems. Uh, so what is sort of the approach that you've taken here and what was it that you saw that made you want to take on this pretty um, ambitious endeavor? I'll say.

Speaker D: So maybe I'll start and then Guna can go into the details of what we added. So in May we unveiled Cornerstone Workforce AI. Um, that really gave us all of the foundations with the people graph in particular was a big piece of the work that Guna has done coming into the organization. Um, and it underpins everything that we can now unlock for our customers today. Breaking at the show, we added to that. So that include the Cornerstone Workforce. AI overall built took our learning foundation, it took our talent development foundation. It added workforce intelligence, um, and a lot of what we called readiness. Agents in between are how do you plan for workforce strategy? So what we have built is called work planning. M and then another important piece, getting and really goodness credit. This has been a passion project for him. Not to take the words out of his mouth but um, is around governance. And so the other piece we announced something we agent. Look at all of the multiple agents in organization and they hold them to the same standard. Your people. Uh, what is the conduct that you expect the agents to operate within, which is an important piece of any organization's go forward AI strategy.

Speaker B: Absolutely. I know that. Stacy, you've mentioned this on our other program before is how what is HR's role in the world of AI? You've got to still think of that what HR does best. Right. Is understanding your workforce and you've made a big strides in that. Uh,

Speaker E: and kif, I mean I'll wear the customer hat and say like what is undisputable today is work is changing. There is out of the possible which is an opportunity for everybody as well as a mandate. And I don't think that opportunity sits with select few. Everybody in the hr, every individual contributor, their teams have a seat at the table to actually shape it. What we didn't do, again, it's not just me. It's a whole team's credit. We didn't decide to go slap agents on top of everything that we are already doing and say this is the innovation. We went with the conviction that technology is a commodity. You throw money, people are going to show up for vendors and multiple models and that's going to get more better and better. Ultimately the Winning recipe is people. What do you need for people learning? Continuous improvements. Talent. Put them in the right place, show them the growth, give them the rewards. And then how do you re engineer? So that's where whole skill inference, the may launch was all about the foundation. How do you understand the work that is changing, what needs to be done at the task level, how to get people ready, Use the right learning, use the right succession, performance rewards. Now we have taken it further. With all the successful goal lives, we are seeing that the boundaries of HR systems are blurring. So we have gone live with a very major European, highly regulated customer who have said that bring me something that can merge learning, performance, talent, mobility and recruiting all in one. Because that's how people engage, that's what people expect. So we have, when we say agent, it's not just automating tasks, it truly brings things together. And then agent ready is my pet project. Like we hold people to higher standards, not because they falter. There are certain things that we cannot miss for the business continuity or the culture. So today, either we put the lid on the AI development and say nobody can launch or we let them go rogue. So none of this is the right solution. How do you build scalable governance that gives you comfort, peace of mind on what's happening, but encourages your employees to go build more and much faster?

Speaker C: This is so, just so everybody knows. When we first thought up that we were gonna do a podcast at the top of the expo hall in like the 20 minutes ahead between all the other meetings, it was because I sat and watched. Gonna walk me through the agent ready demo and they hadn't launched it yet. We were getting an early finding and I was like, this is exactly what we need. We need to have something that evaluates those agents. There's agents all over the place right now. It needs to ensure that it's compliance ready, that it is handling the standards and the not just the compliance that we have in our policies and procedures, but also the compliance that's inside of our systems around who can see things, who can't see things, where that data can be taken, how that data can be used. All those things are being checked by what you guys are doing and it's not being checked once. It's not just the first time. You're putting in place an evaluation program. Right.

Speaker E: Continuous pipeline. So make it a gating criteria for anything, any change, to go live.

Speaker C: Yeah.

Speaker E: So that it happens out of the gate.

Speaker C: Because my, my big thing. You guys know you've been listening to us for a while. Is that I have said we would at least want to manage our agents as aggressively as we manage our human beings, our employees. We have all kind of performance reviews and evaluations and check ins with them. Why would we not have that with the agent environment as well? Because their humans are being held accountable to what the agent is doing and we need to make sure that the human has all the backup that they need just like we would with anything else. Right.

Speaker E: What makes this possible is technology used within. So that's how we are able to scale Mini's list of products we have launched in six months purely due to what's available. The state of the art.

Speaker C: Yeah, I think the list of products was the other thing that we were so surprised by because usually in these kind of launches you get one big thing a year. Right. And you guys just launched in the workforce intelligence environment was a big deal for you guys getting all the infrastructure, all the underneath the mesh. But now you guys doing the workforce plan plus the agent ready. That's another two big announcements within just like four months of each other. Right. How, how fast do you think has development scaled and how quickly have things had to move? Is this uh, is this the thing that, that you're seeing too? That, that the just the amount of time.

Speaker E: I think it's a push and pull internally as well as externally. Like I said, it's an opportunity for cornerstone. It's a mandate. Like we have to be at the cutting edge of development because customers are expected to do for their business. So we have to keep pace. Agent ready. Every day I walk in, I see an agent talk to a human without the controls in place. Freaks me out and I'm sure it freaks the other listeners too. So it's a must have. Workforce planning is a very uh, organic evolution of our thought process. Again going back to the people at the center of the business of this transformation. AI is here to help understanding the work that is changing. If we have this foundation in place, there is nothing that stops us from putting this plan to action. Tie it to your ops. Mini has been keeping us checked for like are you goals driven? How do you tie your work to goals? Your every decision that you do in the business to the goals. So to us the strategic workforce planning is a completely reinvented look. The reason we are able to bring it fast to the market is we didn't have the baggage so we were able to invent fresh for customer needs.

Speaker B: Also there's something, a couple of things you mentioned that are pretty fascinating to me and it's something that's pretty indicative of all research as well is that you're thinking about the outcomes. Right. What are we trying to achieve? Not just what is possible. Right. You know we've gone through that sort of evolution will do a lot of neat things with this new technology but what is it we're really trying to get to and when we're bringing all those things together that's fascinating. But you're doing it in the final goal of how do we help basically businesses thrive, how do we help organization seed

Speaker D: and yeah, I think that has been one of the biggest shifts we've seen in how we interact with our customers is that they might come to us because they say oh I need to change my learning strategy. Then we start asking questions like what exactly is the challenge that you are trying to solve? Um, and look, there's a lot of data that we could take into the people graph but that wouldn't then you'd be stuck in sort of data assimilation instead the conversation we have and Gunna runs workshops, he and his team, we go on the former deploy engineers and Anna Goldberg who runs our AI product management. It is very much a conversation about what is the main challenge that you have. Is it about finding new paths for your people or is it you have to go recruit from different areas and bring non traditional um, people with non traditional backgrounds into a role. So then it's about role readiness and how do you get them, you know, um, armed with the right information. What is that core outcome that you're trying to drive to and then we limit the data inputs into the people graph based on that outcome that so you can really drive to success in super quick fashion. Like we've Kuna and team have done prototypes in the span of a week and then we're operational and live with very large, highly regulated industry customers. 10 weeks.

Speaker E: We are highly regulated. 10 weeks. What is interesting? Uh, Cliff, you bring up a good point. I think we in this industry, industry we are so trained to think box them into SKUs and structures we have to unlearn. So we suggest for 30. What are you trying to solve? I'm trying to bring veterans into my organization and then I'm going to train them. So my question was why are you bringing veterans? They bring amazing ownership, amazing leadership. I want them to bring that skill and then apply it here. So you need to identify that they have that skill, identify what is required here and then get them trained. So you are skills person, you are doing this role. We often tend to get siloed into our own functions. But I think to your, uh, earlier point, hr, anybody in the HR division has seat at the table to shape this transformation journey. And to do that, we have to unlearn our constraints.

Speaker C: Yeah, I mean, kind of speaking of unlearning something. So I want to say a little bit of the elephant in the room. Workforce planning's a big jump for you guys. I don't know that people would say cornerstone, the learning and talent organization is a workforce planning tool. But I will say that at least in my experience and what we're seeing in our data and what I, I've been doing this for a long time. Workforce planning doesn't work without the skills conversation. Right. And so I think that's the fact that you guys are announcing this amazing conversation about workforce planning at a much more global, much more enterprise level with all the things you just talked about, which is that, that I'm not just thinking about it as a head count, I'm thinking about it as a capabilities conversation, a skills conversation. I mean, to me that's what this is all about. Rethinking things, understanding things differently. And so that's a great way of putting it back together. I know we have just a few more moments before we're going to have to wrap up today and I want to thank everyone who is joining us because I know this is again on the fly. This is going to be a real good, fun opportunity for you guys to hear what's happening right here in the environment.

Speaker D: Don't know if it's surprising. Gunna might have one that's surprising. But I think, uh, just underscoring we all knew about that, HR organizations and just organizations, organization in general, are really trying to figure out this idea of people and AI coming together. So your workforce is now agentic and it is human. And though the intersection of those two, um, how does that really help you unlock the full potential of your organization? And you have to think about that from strategy to governance to knowledge to action. And the action part is very important because we all want to show ROI on all of these investments that we're making. Right?

Speaker E: Really record speed. What I do think is we uh, are getting caught up with agent tech being automation. So we have to ask ourselves a question like do we really want an agent to make it easy to create thousand more job requisitions if it doesn't help you find the one right candidate? So I think if we take a step back, really understand the outcome, the goalpost we are trying to go after, many are thinking that way. I encourage us to challenge ourselves. Challenge us. You as a customer should challenge us to think that way.

Speaker B: Yeah. That's really wonderful and really thank you both. Uh, this has been just fascinating because, you know, this is something we've talked about philosophically. Like, we. This is something that we'd like to see this happen. This would be neat. This something kind of needs to be addressed and to go. When we first started talking, like, yeah, that's a good idea. And like, no, no, we're already done it. We're doing it. I was like, that is fascinating. We need to talk about this. So if you were not able to make it to HR Tech, well, you just got VIP access to both one of the most wonderful booths on the entire floor, and probably the greatest conversation you could have joined us for. Thank you so much for letting us, uh, be a part of this.

Speaker E: Thank you for the insights and support. Always.

Speaker C: Yeah.

Speaker D: Thank you, Stacey and Cliff.

Speaker C: Thanks, guys. Sam.

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