How People ATX Works. And Why We Start With the Plan, Not the Posting.

Last time, we introduced ourselves. This time, we want to show you the work.

Ten minutes into a first call, a founder will lean in and ask the question they came with: what do you do that the retained firms we already know don't? Fair question. The answer starts one step earlier than the search itself.

Retained search, the way we both learned it, treats the job description as the starting line. When roles held still for years, that worked. We came up in that craft and we respect it. What changed isn't the craft. It's the question underneath it. AI is rewriting what the work is while you're interviewing, so the description you post is out of date the day it goes up. You can fill that role perfectly and still have hired for a chair that's changing shape.

So we start with a harder question: what are you actually paying this person to do? Not the title, even the one your board handed you. We take the capabilities someone promised the business and dissect them with you, one by one. What should AI carry. What your people should own. What capability isn't on your org chart yet. Sometimes the finding is that you don't need to hire yet. Naming that early is worth more than filling a seat fast.

At this stage, the most important decision you'll make isn't the product or the raise. It's the team you build around the leader. The best companies we've watched all did the same thing: they surrounded the leader with complementary talent. Not more of the same. Complementary. That's where good hires compound and bad ones get caught early.

Here's the distinction we build the whole practice on. There's a difference between placing a candidate and selecting one. Anyone can place. Selecting means a plan before we go to market, market intelligence brought back to your business, and a scorecard that measures every candidate the same way: what they must have accomplished by month six, twelve, and eighteen. The decision is never a feeling in the room. That matters most at a smaller company, where one hire moves everything and unconscious bias moves it quietly.

Placing a candidate is easy. Selecting the right one is the whole job.

Only then do we open the search, and the same person who built the plan with you runs it, calling the people who aren't applying, because the ones who can do these jobs almost never are. They're being recruited quietly, while they're still winning somewhere else.

And here's the part that gets lost in the AI noise. The work still needs the person. More than before, not less. When AI takes the routine, what's left is judgment, trust, and the ability to read a room. That part doesn't automate. What the work no longer needs is the traditional job description wrapped around it.

One wrong executive hire at a small company can burn a quarter of your runway. Planning before you post is how you buy that risk down before it costs you.

That's the short version. The rest of this piece is the longer one: why that first step exists, how an engagement actually runs, and what it's worth to you.

The job description is already out of date. You just can't see it yet.

Think about how hiring usually goes. You feel a pain. A function is straining, a founder is doing three jobs, something's about to break. So you write the role. You describe the person who'd fix it, give them a title and a level, and put the posting out into the world. Then you wait for the right person to show up.

Two things go wrong with that, quietly.

The first is the description itself. You wrote it for how the work looked last year, and the work has already moved. AI has rewritten a real chunk of what these roles used to be, and it isn't slowing down so our org charts can catch up. Your new leader ramps, and by the time they're up to speed, the chair is a different shape than the one you described. You did everything right and the target moved.

The second is who answers a posting. Put a role out there and you'll get a flood, much of it written by the same AI tool everyone's using. But the people who can do the job that decides your next eighteen months, the engineering lead, the first real GTM hire, the operator who takes a team from twelve to sixty, they're not in that pile. They're not applying at all. They're being recruited directly, quietly, while they're still winning somewhere else. If your process depends on who shows up, you're choosing from the wrong pool.

Where we depart from the model we grew up in

Retained search, the classic version, is a real craft. The client defines the role, the firm goes and finds the person, and the good firms do it with rigor and care. We're not here to knock it. We built our careers inside it.

But that model rests on one quiet assumption: that the role, as written, is correct. The job description arrives as a finished input, and the firm's job is to fill it. When work held still long enough to describe once and staff for years, that assumption was safe.

It isn't safe anymore. Titles are shifting under people. The way work gets done and managed is being redrawn while the search is still open. A firm can execute a flawless search against a description that's no longer true and everyone still loses, politely, six months later.

So the difference isn't that we search differently. It's that we start with a different question. Not "who fits this role?" but "is this role still the right shape?" We come at your team through an AI lens first: what the technology should carry, what your people should own, and what the job actually is now, underneath the inherited title. Sometimes that confirms the role you had in mind. Sometimes it changes the level, the scope, or the title entirely. Either way, the search that follows is aimed at something true.

And to be clear about what the AI lens does not mean: it doesn't mean fewer people matter. When AI absorbs the routine, what's left is judgment, trust, taste, the ability to read a room. That's the part that doesn't automate, and it's where the edge lives. You still need the person. What you don't need is the traditional job description wrapped around them.

How an engagement actually runs

Here's the order we work in. It's the same whether you're hiring one leader or rethinking a whole team.

First, we map the work. We sit with you, not over the wall from you, and get specific about what's coming. Not the titles you've inherited. The work. What should AI carry, now that it can. What your people should own. What capability your company needs that doesn't exist anywhere on your current org chart. That map is the workforce plan, and it's the thing almost nobody is helping founders build.

Second, we design for flex. The team we help you shape isn't built to be perfect for today. It's built to bend as the work keeps moving. Roles that stretch instead of snap, and complementary talent around the leader instead of more of the same, so the expertise is spread across the room instead of stacked in one chair. The one thing we can promise about the next two years is that the work will change again.

Third, we build the scorecard. Before a single search opens, we write down what this person must have accomplished by month six, month twelve, and month eighteen. Specific things. Revenue shipped. A team built. A broken system replaced. If we can't write that together, the role isn't ready, and we'll tell you so. If we can, the search just got twice as fast, because now we're screening for outcomes instead of keywords.

Fourth, we run the search. One partner, start to close. The same person who built the plan with you is the one making the calls, reading the rooms, and going after the people who aren't looking. Not a coordinator who inherited a brief they didn't write. Every note you send reaches a partner, and the market intelligence we gather along the way comes back to your business, whether or not it changes the search. That's not a service tier. It's how we work.

Fifth, we make it stick. Getting someone hired is not the same as getting the change to land. A new senior leader, or a new AI-shaped way of working, only pays off if the organization absorbs it. So we stay in it: how the role changes, how the team moves with it, and how you help real people step into new versions of their jobs without losing what made them good in the first place.

A word about referrals, because every founder leans on them. You'll want to hire the people you already know. Family, friends, names passed along by people you trust. Keep the referrals. The best ones come from your high performers. But run every name through the same scorecard as everyone else. That's how you end up with a team that's diverse in thought and complementary in skill, instead of a room full of people who all think like the person who hired them.

One conversation.

In practice, in 2026, it's all the same conversation, because deciding who to hire and deciding what AI changes about your organization are no longer separate questions.

Talent strategy. The workforce plan itself, built around the work that's coming instead of the job descriptions you inherited. Every engagement starts here, and for a lot of clients it's the piece they didn't know they were allowed to ask for.

Executive and retained search. The senior hires that decide your next eighteen months, run the way retained search should run. A partner on your search, start to close. Deep sourcing into people who aren't applying. Fit over speed, because the wrong senior hire costs far more than a slower one.

AI change management. Most implementations don't fail on the technology. They fail on adoption. The platform gets bought, the training gets scheduled, and a year later usage is a fraction of the promise, because nobody redesigned the work underneath the tool. We start upstream, with the plan, so the tool has something to land on.

What it's actually worth

Let's talk about the money, because founders should.

Most founders price a bad hire at the salary. That's not the bill. The real cost is the salary, plus what you spent to recruit them, plus six to nine months of a critical function running at half speed, plus the quiet damage: the good people who start taking calls because they can see it isn't working. At a small company, one wrong executive hire can burn a quarter of your runway and most of your momentum.

That math is why we start with strategy instead of a posting. When you plan before you post, design for the work instead of the title, and screen for outcomes instead of a resume, you're buying that risk down before it has a chance to cost you. The plan isn't overhead on top of the search. It's what makes the search worth running.

There's a second benefit that's harder to put on a spreadsheet. When you build a team this way, people feel it. They feel seen through a change that's scaring plenty of them, because you designed their role on purpose instead of bolting AI on top and hoping. Teams that feel seen move with you. Teams that don't quietly wait for it to fail.

Who we built this for

If you're a founder or CEO at a small to mid-size company, you feel both sides of this: the cost of a wrong senior hire, and the fear of building the wrong team for where the work is going. If you're leading a fast-moving brand, your category shifts in a season while your org chart stays put. And if you're an investor setting talent strategy across a portfolio, you're watching the same AI-versus-headcount argument play out on every board with no shared way to think about it.

That's the room we work in.

Where to start

You don't have to hire us to get value from this. Try the smallest version yourself this week. Before you write your next job description, write the scorecard instead. What must this person have accomplished by month six, twelve, and eighteen? If you can't answer it, the role isn't ready. If you can, you've already made your next search faster.

When you want the full picture, how engagements run is at peopleatx.com, and our free 2026 Talent Report is at peopleatx.com/report.

The work is changing. The person still matters. We build for both.

People ATX. Co-founded by Jami Adkins and Andrés Traslaviña, former Fortune 5 talent leaders. Talent strategy · executive and retained search · AI change management · career academy.