The HR Teams That Figured Out AI First: What They’re Doing Differently

A small but growing group of people leaders came to Transform 2026 with something to show. They weren’t asking if AI belongs in HR. They had already built things and were ready to share what worked. Their early work points to a clear playbook: put HR at the center of the biggest org redesign in a generation.

Nancy Haughey didn’t come to Transform 2026 with a theory. She came with a job posting. Her company had already listed a role they call a “team of one.” It’s one person working alongside a set of AI agents to get work done end to end. That job post is a design document for the new org. HR wrote it. It shows what ran through every session this year: the people teams moving fastest on AI aren’t waiting for permission. They’re building.

Across 110 sessions and 271 speakers, the best conversations weren’t about whether AI belongs in HR. They were about what early movers had already learned. The rest of the field can close a lot of ground by following their lead.

The Inflection Point Is Also an Opening

“Inflection point” gets overused at tech conferences. At Transform 2026, it landed because the speakers using it weren’t describing a distant future. They were describing decisions already in motion.

“AI is one of those moments right now… We’re at an inflection point, and that’s where workforce expectations and the business pressure are colliding. And right now, the gap isn’t about the idea — it’s about execution.”

Tammy Perkins — Digital Teammates: Where AI Agents Fit on the Org Chart

A gap in execution is an opening. The orgs pulling ahead got clear on outcomes before they picked tools. HR already does this. It’s what good workforce planning looks like. The teams using that same approach for AI are moving faster than anyone expected.

Q Hummerani’s company moved early. Their key insight was simple: there are two different ways to use AI at work. Mixing them up makes both worse. They named the two types clearly: “AI for you” versus “AI with you.”

“You have what we call AI for you and AI with you, right? So if you think of AI for you, it’s like what execution tasks AI can just do for you… And then AI with you is really thinking of the digital teammates that can help you with the decision-making, help you with analytics, working with you.”

Q Hummerani — Digital Teammates: Where AI Agents Fit on the Org Chart

“AI for you” handles tasks: scheduling, compliance checks, first-pass screening, report generation. “AI with you” is more valuable. It means AI thinking alongside humans, spotting patterns and testing decisions. The orgs getting the most from AI do both on purpose. They don’t just use whichever tool IT set up first.

Reorganizing Around Outcomes, Not Functions

The companies seeing the biggest gains from AI stopped asking how AI fits their current structure. They used AI to rethink what the structure is for.

Haughey was direct about her company’s approach: organize around outcomes, not functions. That’s a big shift from how most HR teams are built. It works because AI can now do the functional tasks that used to justify those silos. When agents handle the execution work, “what is this team for?” becomes a question you can actually answer. And the answer is about human outcomes, not task lists.

“We actually posted our first job description for a team of one. And we’re looking for builders that can do these and want to kind of find that fabric of agents and humans and deliver something.”

Q Hummerani — Digital Teammates: Where AI Agents Fit on the Org Chart

The “team of one” job posting is the sign of this shift. The hire isn’t defined by a role or a task list. It’s defined by the ability to build, decide, and work with AI agents. That job post only exists when HR has already figured out what AI can own. Then they design the human role around what it can’t. That’s AI strategy expressed as talent strategy.

High-Tech, Human Touch: The Frame That’s Working

The Alight-IBM session on driving HR excellence produced one of the conference’s most practical frameworks. The purpose of AI in HR is to free human attention for the work where humans are irreplaceable.

“Sometimes we get caught in the technology, like what solution are we going to use? But we forget that we really should be talking about the outcomes. What are the outcomes we’re trying to achieve, not just what is the tool that we will use.”

Donna Dorsey — Driving HR Excellence in an AI-Centered World: Alight + IBM

In practice, a care agent who isn’t jumping between five systems can actually listen to the person they’re helping. An HRBP freed from report generation can focus on org design. The technology is the tool. The human relationship is the product.

This approach also draws a clear line around where AI should not go. High-emotion interactions are off the table for automation: benefits questions from someone in crisis, performance conversations, departures, mental health disclosures.

“That person does not need to be routed to a bot. They need to actually talk to somebody — somebody that can be emotionally aware and have empathy during this period.”

Madison Gooch — Driving HR Excellence in an AI-Centered World: Alight + IBM

Knowing what not to automate matters just as much as knowing what to automate. HR teams that draw and document these lines report faster employee trust in their AI rollouts. Clear human-only zones make the AI zones feel safer for everyone.

HR’s Moment to Claim the Technology Built for Humans

Nancy Haughey offered the sharpest take of the conference: a case for why HR is the right function to lead this moment.

“If HR is not the leaders in this, the most disruptive technology since the dawn of the industrial age, then there won’t be any reason to have HR if we are not the masters of this.”

Nancy Haughey — Digital Teammates: Where AI Agents Fit on the Org Chart

HR has more authority available to it right now than it has in years. AI is about people: how they work, what they can do, how they grow, how orgs are built around human potential. That is HR’s domain. The HR function that gets expert in AI becomes needed in a new way.

“For the first time in human history, we have a technology that’s entirely in service of humans. And it’s why it’s so important for human resources functions to be expert in this.” — Nancy Haughey, Transform 2026

AI doesn’t shrink the human in human resources. It gives HR the chance to go deeper into human work than ever before. The admin and reporting tasks that ate so much time can finally be handed off.

The Skills That Win From Here

Speakers agreed on what skills matter most going forward: curiosity, judgment, and the willingness to own decisions that count.

“I think people will over-index on that and then forget that there are actually very useful things that humans do and that we need — things that cannot be replicated.”

Danielle — Digital Teammates: Where AI Agents Fit on the Org Chart

Jeff Batahan, at the Tinuiti session on high-performance culture, made it specific: talent decisions. AI can bring speed and consistency to any hiring or performance process. But the call to promote, pass, hire, or part ways stays human. It has human consequences.

“AI isn’t going to make the decisions in the future, especially talent decisions. These are very personal and very important to your employees. They can help you with consistency. They can help you with speed. But when it comes to decision-making, this is what humans do.”

Jeff Batahan — From Insights to Action: How Tinuiti is Powering a High-Performance Culture Through Decision Quality & Transparency

Being clear about human ownership is what makes AI rollouts credible. Employees trust AI-assisted processes when a human is still accountable for what happens to them. The orgs getting this right build that accountability into their governance: who owns the decision, how it gets reviewed, what the human in the loop is responsible for.

“I mean, I put on there that I think ultimately humans own all decisions, period. Because we have to own the risk. AI is not going to — if the house burns down, AI will still be here, but we won’t be.”

Melissa Laswell — AI Literacy Is a Leadership Issue, Not a Training Program

What the Early Movers Have in Common

Across all 110 sessions, the orgs with the most traction share traits that have nothing to do with their tech stack. They started with outcomes. They drew clear lines around human-only decisions. They built AI literacy inside HR before rolling it out across the company. They treated governance as a living system that grows with the technology, not a compliance checklist.

One speaker at the AI literacy session said it plainly: HR has always been in the business of building skills in others. The teams winning right now saw that the same investment needed to happen inside HR first.

“In HR, I always say that we’re the cobbler’s kids without any shoes. And I think in this instance, it absolutely applies.”

Rachel Bourne — AI Literacy Is a Leadership Issue, Not a Training Program

The teams that closed that gap are the ones showing up at Transform with job postings and org redesigns, not questions. The window to learn from their work is still open. The question is how fast everyone else moves through it.