I have to admit that “AI coaching” is one of the cringiest terms to come out of the HR tech space in recent memory.
Honestly, that’s saying something, because we’ve been through plenty of terms that you just can’t help but wince at, like “we’re a family,” anything framed as a “great learning opportunity,” or even “we have a fun but very hands-on culture.”
(I could probably create an entire list of these, but you get the idea)
AI coaching manages to find its space in this category and would do well on a buzzword-bingo board.
Call me dramatic, but when I first heard it, I had a full-body shudder, because my brain immediately went to:
- A chatbot asking me how that really made me feel (and then suggesting I “sit with it”)
- A robo-therapist in a trench coat pretending to be my thought partner
- Some LinkedIn-ified, venture-funded “mentor” peddling whatever AI buzzword is hot this week
There’s no way I’m the only one who initially had that reaction….
Being somewhat serious for a sec, I think we’ve been sold a lackluster first impression of something that could actually be pretty useful.
And I say this as someone who is deeply, pathologically skeptical of anything that claims to fix people problems with a software subscription.
Maybe it’s just the name that could use a rebranding, or a better opportunity to reframe the connotation of the term, or a combination of both.
AI coaching, when it’s done right, is never, ever about replacing the human relationships that make work meaningful.
It’s about using what we already know about people to help them show up better for each other.
That’s it. That’s the whole thing!
But somewhere between the pitch decks and the product demos, it got turned into something that sounds cringe, and now here we are.
Right now, I want to try to de-cringe the term, because I think underneath the buzzword bingo and the chatbot-in-a-blazer energy, there’s something real here that HR folks deserve to understand clearly.
Consider this your field guide to a term that deserved better marketing from the start!
The Category Launched Before Anyone Agreed on What It Means
Right now, I’d say the main issue is the fact that the AI coaching market is growing faster than the market’s ability to universally define what AI coaching even is!
New tools are launching left and right, while seemingly every HR tech company is slapping “AI coaching” on their product page like it’s a coat of fresh paint on a house with bad bones.
To be fair, some of these tools are genuinely thoughtful, but as you’ve probably experienced firsthand, a lot of them just aren’t.
And when the definition of a thing is this murky, it becomes all too easy for buyers to either write the whole category off or get burned by something that promised transformation and delivered the equivalent of a weak-ass chatbot FAQ instead.
Most of what’s passing for AI coaching right now falls into a trap I think about as the role-play problem.
For example, let’s say you open your app of choice and type in a scenario…maybe you’re prepping for a hard conversation with a direct report, or practicing executive presence before a big meeting.
There are actually two problems that come into play here…
The first? When you do use AI for role play, it gives you the most emotionally intelligent, perfectly agreeable response imaginable. You’re practicing that hard conversation with your direct report and the “pretend employee” says, “You’re right, I can absolutely do better, thanks for the feedback.”
Has any human ever said that??? Maybe, but it’s not usually the default answer.
Because real people get defensive, they have questions and they will push back. Not to mention they also usually need a minute to process. But the bot just… wraps it up nicely and calls it a day. So you walk away feeling prepared for a conversation that’s never actually going to go that way.
The second problem? The tool not coming to you. You opened it once, maybe it helped a little, and then you never went back — because you don’t have time to go log in, explain your entire situation, and hope something useful comes out. And those “hey, come use our features!” emails? You don’t even open them. It doesn’t feel relevant to your day, so you skip it.
Coaching that waits for you to initiate it is coaching that doesn’t actually happen.
I don’t really see this talked about that much yet, but I think of this as a design philosophy failure because the whole premise is off.
The other issue (and this one really grinds my gears) is that most AI coaching tools act like they’re starting from scratch. 😒
Like, they act as if they have no context on who you are, what your team looks like, what your job is, what you struggle with, and so on.
They ask you to self-report, self-reflect, and self-[insert any other verb here].
Most people don’t want to do homework to access their development tool, because who even has time for that?!
They want the tool to already know them, which honestly isn’t asking for much, considering the data to personalize development is already sitting somewhere in most orgs.
All of it exists through assessments, HRIS events, calendar data, performance reviews, and competency frameworks.
The problem is nobody’s connecting the dots.
So until somebody finally does, AI coaching will keep underdelivering. There are a handful of capabilities that matter, and Cloverleaf does a good job of elaborating on that here.
Next, we’re going to walk through what AI coaching actually is, what it definitely isn’t, and what it should look like when it’s done right!
Let’s Get the Misconceptions Out of the Way
🚫 AI coaching is not a replacement for human relationships.
I wanna lead with this because I think the replace vs. empower debate is the root of the cringe, and I’ll explain why!
When AI first entered the workforce convo, the dominant storyline was “it’s coming for your job.”
And when AI coaching entered the HR convo, the instinct was “it’s coming for your manager, your coach, your L&D program, etc.”
That is the wrong frame, in my opinion!
Every significant work problem is, at its core, a relationship problem.
That boils down to how you communicate with your team, and how your manager understands what motivates you.
AI can’t ever fix those problems by itself. To be completely honest, I’d like to see it even try!
What it can do is help you walk into those relationships better prepared by being more self-aware with more useful information than you had before.
The whole point is to move the relationship forward in ways you might not be able to do alone. Assisting instead of replacing, basically.
👀 Think about what that means to coach someone completely different from you!
A lot of managers are working with people they straight-up don’t understand due to different communication styles and different ways of processing feedback.
Sometimes, we tend to hire people who remind us of ourselves, even when we think we’re being deliberate about avoiding any type of bias.
So what happens when that manager needs to coach a direct report in areas where they personally need coaching?
That employee still deserves to grow, so a good AI coaching tool fills that gap without requiring the manager to be a superhero.
🚫 AI coaching is not a one-time event dressed up as a program.
The L&D industry has this habit of building things that feel transformative in a conference room and evaporate by the following Monday!
That could be something like a two-day offsite or some kind of awareness workshop.
These things definitely have value, but awareness doesn’t reliably change behavior.
Repetition and context are what matter here.
One-time training gives people information, but continuous coaching is what creates the habit, especially if it’s delivered at the right moment and tied to an actual situation they’re walking into.
What does that look like, you might be asking?
It looks like getting a nudge before a 1:1 with a direct report who processes feedback differently than you do.
It looks like a personalized prompt the week before performance reviews that ties to your actual leadership competencies.
It looks like the kind of just-in-time support that used to be reserved for executives with $500/hour coaches, applied to every person in your org.
That’s the version worth building!
Cloverleaf breaks this down in detail in their article here, FYI.
Ideally, AI Coaching Looks Like…
✅ AI coaching is what happens when you finally use the data your org already has.
I’m willing to bet $$$ that your org has more context on its people than it knows what to do with.
That could be a big melting pot of DISC profiles, StrengthsFinder results, Enneagram types, tenure data, performance history, upcoming reviews…I could go on and on!
All of this is sitting in systems that don’t talk to each other. 🤐
Assessments in one platform, HRIS data in another, and calendar invites that represent some of the highest-stakes moments in a person’s work life, with no support system around any of them.
REAL AI coaching connects these dots!
It builds a picture of each person and each team, then delivers coaching that’s specific to them, instead of generic best practices.
You should expect actual, contextual guidance that accounts for who you are, who you’re meeting with, and what’s about to happen.
Doesn’t the thought of a coaching tool like that make you giddy with excitement?!
Cloverleaf does exactly this, pulling in behavioral assessments alongside HRIS and calendar data to build the kind of deep context that makes coaching feel like it was written for you, because it was.
And it shows up where you’re already working, whether that’s in Slack, Microsoft Teams, email, or elsewhere.
So now the coaching is finally coming to you.
✅ AI coaching is a scalable path to development for every employee, not just the ones at the top.
At the end of the day, talent is the actual competitive edge in this market.
Companies say that constantly, don’t they?
And then they build leadership development programs for their top 10% and call it a day!
The other 90% gets a corporate learning library with a generic onboarding module and a manager who may or may not know how to develop them. 🤡
That’s not a people strategy…unless you count “hoping for the best” as part of your best practice.
The real promise of AI coaching is that it makes continuous, personalized development scalable to every single employee.
Everybody gets coaching! *Said in my best Oprah voice*
It shouldn’t matter if you’re the entry-level contributor who wants to get better at cross-functional communication, the mid-level manager who inherited a team that looks nothing like her, or the senior leader who genuinely wants to be more effective but doesn’t have a coach and doesn’t have time.
Every single one of them deserves coaching that’s relevant to them and grounded in something more than generic advice.
When AI coaching is built right, that’s exactly what it can do at scale, without requiring HR to manually coordinate 500 individual development plans.
That’s the version of AI coaching worth getting excited about!
The Standard Every AI Coaching Tool Should Be Held To
You’ve seen the inescapable AI coaching pitch somewhere…probably multiple times now!
Maybe you’ve sat through a demo and nodded along while someone explained that their platform will “transform employee development” and unlock potential at scale.
And you didn’t buy it because something felt off.
That instinct is worth trusting, because most AI coaching tools are asking you to solve a problem they haven’t fully understood.
They’re giving you a place for employees to practice skills in a vacuum, with absolutely no connection to the people those employees actually work with, and no integration with the moments that matter.
Just a tool dangling its digital legs, sitting on the shelf waiting to be used, while everyone is too busy to use it! 😑
Cloverleaf is built around a different idea entirely, and one that makes AI coaching feel a lot less cringe, and a lot more useful.
The coaching is proactive, which means it arrives before the performance review or the cross-functional meeting where two people with different working styles are about to clash.
It’s personalized because it draws from validated behavioral assessments (e.g. DISC, StrengthsFinder, Enneagram, 16 Types, and more) and connects that data to your HRIS and your org’s own competency frameworks.
It shows up in the tools you already use like Slack, Teams, email, and Workday, so there’s no behavior change required to access it.
Think about what your org could look like if every single person had access to coaching that knew them deeply and helped them work better with the specific people they work with every day.
That’s what Cloverleaf is building!
As I’ve already ranted about, the AI coaching category has an image problem, but the thing underneath the bad name is genuinely worth paying attention to.
You just have to find the version that’s doing the work.
