FROM THE STAGE: AI FOR HR TEAMS. LATESHA BYRD ON FIVE WAYS PEOPLE TEAMS ARE AMPLIFYING THEIR IMPACT

AI for HR teams is not a future consideration. Latesha Byrd's argument at CultureCon 2026 is that the tools already sit inside every People function, and what is missing is a deliberate plan for them. Her session laid out five plays and one test to apply to each.

Key takeaways

• “AI is not the future, it's the present.” It already runs your Netflix queue, your Spotify playlists, and your Google Maps reroute. The workplace question is what you do with it on purpose.

• Five practical plays for People teams: transform the talent acquisition experience, power learning and development and manager enablement, build the business case with people analytics, automate the day-to-day questions, and use insights to shape culture.

• AI gets you to 70 percent. Your voice gets it to 100. Feed it your own transcripts and emails, keep voice guidelines, and always treat output as a draft.

• Her ACT test for any use case: What can we automate? What will that freed capacity go toward? Where does human trust still come into play?

• The point of the time saved is human work: the one-on-ones, the focus groups, the conversations behind the survey scores.

Latesha Byrd opened her CultureCon 2026 breakout by asking the room to close their eyes. Then she let everyone off the hook, you didn't actually have to, and painted a Monday.

You're back from a wonderful conference in Madison. You open your laptop to a pile of unanswered emails. The recruiter says your top candidate accepted another offer. A manager says their best person just put in their resignation notice. A benefits vendor has been blowing you up for a month. And your VP wants to run town hall talking points by you. All of it inside ten minutes.

Her point: within the first two hours of a Monday, a People leader has saved the company from a fair amount of crisis. “But what happens is when you do that, your time belongs to everyone else.” The list you wrote on Friday of what you were actually going to do Monday is untouched by lunch.

That gap, between the work People teams do and the work they meant to do, is what her session was about closing.

Five hours

Before any of the strategies, she asked the room a question.

“If AI could give you five hours back of your time each week, maybe 10, what would you do?”

The answers came fast. Sleep. Gardening. Projects. Research. Thinking. Reading. More one-on-one conversations. More time to breathe. Time to actually take a lunch break.

Writing about the session afterward on LinkedIn, Byrd said the answers made her laugh because they were so simple and so telling.

Byrd is the Founder and CEO of Perfeqta, a boutique consulting agency that helps companies build strong, emotionally safe workplace cultures through fractional HR, leadership development, training, and coaching. She spent over a decade across leadership development, inclusion, and talent strategy, founded and sold Career Chasers, a global career coaching community for Black and brown women, and was recognized as a LinkedIn Top Voice for company culture in 2022. Her work has been featured in Forbes, The New York Times, The Wall Street Journal, Black Enterprise, Essence, and Business Insider.

“AI is not the future, it's the present”

Before touching a single HR workflow, Byrd made the case that everyone in the room already trusts AI daily. Netflix deciding you should watch Ted Lasso. Spotify building playlists off your listening patterns, and she'd know, she's lost count past 80 concerts. The robot vacuum. Google Maps saying it's rerouting you down a side street you've never taken, and you go, because it knows about the traffic ahead.

“That's AI. It's predicting patterns and trends.”

What's changed is access. Generative AI is now available to pretty much everyone, and companies have flipped from restricting it to telling employees they must use it. Her session was aimed at the gap in between: most People teams have the tools and no deliberate plan for them.

Start with an audit of your own time

Her first practical move isn't a tool purchase. It's asking what is repetitive, and what can I automate?

And you don't have to answer it yourself. Give AI your calendar from the last month or the last three, your sent emails, your Slack. “It can literally spit out a report that tells you this is where you are spending too much time,” and hand you an audit of what can come off your plate.

Her framing for the relationship, one she credits to how Microsoft talks about Copilot: treat AI as a co-worker or an intern.

One: transform the talent acquisition experience

Recruiting is where AI is easiest to see, because TA has run on applicant tracking systems for a very long time. The repetitive load is real: reviewing resumes, scheduling, hiring manager conversations, reaching out to candidates.

Her caution came from candidates themselves: AI can make the candidate experience worse when it stops feeling personable, when it stops feeling human.

“AI isn't there to just completely take over all communications, especially if it's a top candidate.”

Two: power learning, development, and manager enablement

The need she hears most right now:

“Every single HR leader I've spoken with in the last month has said we really need to perfect our manager training. They're driving good people out the door.”

AI can help build the prompts and coach managers on how to be coaches. This is also where she introduced the test she wants applied to any use case, her ACT questions: What can we automate? What will that freed capacity go toward? And where does human trust still come into play?

Three: build the business case with people analytics

Byrd's team recently ran a culture assessment for an organization of more than 100,000 people, surveying about 4,000 employees plus focus groups. Survey data that used to take days or weeks to come back can now be turned around almost immediately, pointed at trends and patterns, and shaped into a clear business case: where burnout is, where attrition is happening, and what to do about it.

What it can't do:

“It can't walk into your leadership's office and give the story and the emotion behind employee sentiment.”

An attendee who works with Purdue made the same point from the floor: leadership used to wave off requests as anecdotal. Feed ten thousand engagement survey comments through an AI tool and it surfaces the three strongest themes and three opportunities in minutes. In her words, the math is math. It's not anecdotal anymore.

Four: automate the day-to-day

The steady drip of questions that eats a People team's week: do we have pet insurance? How does my PTO policy work, I'm trying to spend a summer in Europe? AI can answer those quickly, and every one it handles is time returned to the human side of the job.

Five: use insights to shape culture

The last play is noticing. If a lot of people are leaving one particular function and nobody is sure why, the data can show you where to look, and free the time to go have the conversations, the one-on-ones and focus groups that put qualitative texture behind the numbers. It can also read what's happening outside your walls, in the industry and in society, that's shaping what your people are feeling inside them.

The 70 percent rule

Running through everything: AI output is a draft. She kept coming back to that word.

On writing in particular, Byrd is blunt about the ceiling. Everyone can now tell when something was written by AI, everyone on LinkedIn is starting to sound the same, and LinkedIn itself just rolled out labeling for AI-written content. People are craving authenticity.

“AI can help to get you to maybe 70 percent. But to get it to that 100 percent, it is going to need your voice.”

Her method: give it transcripts of your meetings and emails you've actually sent, keep personal voice guidelines, and edit until it sounds like you.

Her AI team has names

Byrd runs Perfeqta with a team of ten, which is small enough for her to build the AI operation she wants. She has a chief of staff, a CFO, an operations assistant, and a business development associate. They are called Aaliyah, Nicole, Derek, and Marcus.

Marcus briefs her every morning at 7am. By the time she has made her coffee and sat down, she has her calendar, who she is meeting that day, notes pulled from previous conversations with those people, the documents still waiting on her review, and the client she owes a reply. She doesn't go through her inbox, then Asana, then Slack.

“It literally almost is like a babysitter. I want to call it a babysitter, but it's literally like a co-worker that keeps me accountable and nothing falls through the cracks.”

Aaliyah is her voice. When Marcus drafts a reply or reviews a document, she asks whether he has run it past Aaliyah for the voice guidelines. Sometimes he says he forgot.

Setting the agents up doesn't take the work away. Marcus has a specific step-by-step guide and does nothing outside it, and the mistakes are still hers to catch.

“We still have to manage the agents, you know, like literally like people.”

The questions she left the room with

She closed with homework to take back to your team, or think about over dinner: If we could get more time back in our day, what would we actually do with that time? What do we actually hate doing? What are the admin tasks we repeat day in and day out? What can make our job easier?

The answers are the start of an AI plan that serves the human work instead of replacing it.

Frequently asked questions

Who is Latesha Byrd?

Latesha Byrd is the Founder and CEO of Perfeqta, a boutique consulting agency that helps companies build strong, emotionally safe workplace cultures through fractional HR, leadership development, training, and coaching. She is an executive coach and speaker, founded and sold Career Chasers, and was named a LinkedIn Top Voice for company culture in 2022. She spoke at CultureCon 2026 in Madison, Wisconsin.

What are the five ways AI for HR teams can be used?

From her CultureCon 2026 session: transforming the talent acquisition experience, powering learning and development including manager enablement, building the business case with people analytics, automating day-to-day employee questions, and using insights to shape culture.

Will AI replace HR teams?

Byrd's argument is the opposite: AI takes the repetitive and administrative load so People teams can spend more time on the human side of the work, the conversations, coaching, and trust-building that AI cannot do. Her test for any use case asks what to automate, what the freed capacity goes toward, and where human trust still comes into play.

How do you keep AI-written HR communications from sounding robotic?

Treat AI output as a draft that gets you to roughly 70 percent. Provide your own meeting transcripts and sent emails so it learns your voice, maintain voice guidelines, and edit everything before it ships. Byrd notes people increasingly recognize AI-written text and are craving authenticity.

Where should a People team start with AI?

With an audit of your own time. Have AI review your calendar and communications from the last one to three months and report where the repetitive work is, then decide what to automate within proper guardrails.

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This recap was written with the help of AI from Latesha Byrd's session at CultureCon 2026, then reviewed by our team.