The four positions every coach has to choose between

The largest conversation about people's working lives is happening without a coach in the room.

Nearly a billion people now sit in a weekly conversation with ChatGPT. A large share of what they bring is not code or email. It is advice, reflection, the things that keep them up at night. No coach, mentor or therapist is in any of those rooms. The relationships people are forming with AI are the most under supervised category in modern life.

The coaching profession is one of the few whose entire purpose is to be the adult in the room. Almost every senior coach I speak to is sitting on the same question. What happens between our sessions when I am not there. Who reads it. Who signs off. Who is responsible when it goes wrong.

CoachHub has run more than 50,000 AI only coaching conversations across its enterprise base. BetterUp offers AI coaching built to do the same work as the human coaches in its network. The big enterprise platforms have already picked their position. The four positions below are how you pick yours.

The four positions

Two questions decide any AI in your practice. Who sets the rules, and who reads the logs. Four positions fall out. Most coaching AI on the market today sits in one of the middle two, and the vendor language usually hides which one.

Approve

The coach reads and approves every output before it reaches the client. Nothing moves without that signature. Highest accountability, simplest legal position, the only honest place to claim full supervision. Does not work in real time.

Architect

One private space per client, built on the coach's own sessions, running inside rules the coach has signed off. The coach reads the conversations in their own time. Supervision lives in the architecture and the review loop, not in every keystroke. You sign off on the architecture. You do not build it. This is what makes continuous support possible after the formal engagement closes, without putting the coach on call.

Automate

The AI runs inside guardrails set by the vendor, not the coach. Two flavours, one position.

The first is a general model wrapped in a coaching system prompt and sold direct to companies. BetterUp and CoachHub both offer versions. The chatbot speaks to the coachee. The human coaches in the network are being designed out of the loop. Enterprise buyers want fewer billable coach hours per engagement and more bot hours, because bot hours carry a higher margin. As the bot gets better, the coach gets thinner.

The second is the clone yourself tool. Coachvox and Delphi are the most publicly visible. The vendor builds a chatbot from a static upload of the coach's old content. It sounds like Architect. It behaves like Automate. The training set is frozen the day it goes live, the same clone serves every client identically, and the value flows to the named coach's brand rather than to the situation the person is actually navigating.

Abandon

No coach in the loop at all. The client opens a general chatbot, pastes their situation, and takes the response at face value. This is where most of that weekly conversation volume sits today.

Where the value flows

Follow the money. In Approve and Architect, the coach captures the value. The AI is leverage on the coach's existing work. The relationship, the methodology and the renewals all flow to the coach first and the platform second. In Automate, the platform captures it. The bot generates conversations at nearly zero marginal cost. The coach does not. In the clone yourself version, the value feeds the cloned coach's brand rather than the leadership situation the user brought.

If the platform gets richer as the AI gets better and the coach does not, the model was built around the platform.

The ICF and the EMCC have both published principles, and in May 2026 both called from their annual stages for the profession to engage with AI. Neither has set a compliance standard yet. The EU AI Act, entering force in stages through 2026 and 2027, makes human oversight a regulatory question rather than a marketing one. Architect holds under that scrutiny. Automate does not.

Questions to ask any AI platform pitching you

1. Who chose the rules the AI operates under, you or the vendor? If the vendor, you are looking at Automate with a coach shaped sticker on it.
2. Can you read the conversations between the AI and your client after they happen? If not, supervision is being claimed rather than delivered.
3. Is the AI working from a one time upload of your old content, or from the coaching you are doing now? A static clone of who you were eighteen months ago is not the same as an AI shaped by your current practice.
4. What happens if the AI gets something wrong? Can you read the conversation, change the instruction, and step in?

The Architect test

Architect is the hardest position to build honestly. Run this against any vendor that reaches for the word supervised. All five lines have to be true, or it is Automate in better marketing.

1. Built on the coach's own sessions, not the internet. If the foundation is general web data with the coach's content sprinkled in, it is not the coach's AI. It is a search engine wearing the coach's name.
2. The coach's methodology, voice and rules govern what the AI does. Not the vendor's content moderation team.
3. Every conversation is reviewable. Not discoverable in a log buried five clicks deep. Surfaced, visible, actionable.
4. Pausable, exportable, deletable at any time. If the coach cannot take their data and walk away, the vendor controls the product, not the coach.
5. Learning from the work the coach is doing now. Not frozen on an upload from two years ago. Sessions, edits and reviews shape it continuously.

The product term we use for an AI that passes all five is coach-supervised AI. From our research so far, CoachNova is the only product we have found on this map that meets every condition. If you find another, tell me and I will say so here.

The economics of coaching that compounds

Take a senior coach with ten active clients on six month engagements.

In Automate, the client either churns to a vendor run chatbot, or the engagement finishes and the relationship sleeps. The platform may keep monetising the client. The coach captures nothing either way.

In Architect, two layers open without changing the work in the room.

The first is the compound layer. Clients who finish an engagement continue with ongoing access on the coach's own infrastructure, at a fraction of session economics, with the coach reading the conversations in their own time. You set the price, and coaches set it very differently depending on their market. Three years of finishing cohorts stack into a recurring book that sits underneath the new engagements rather than competing with them. There is a calculator on the pricing page that runs your own numbers rather than mine.

The second is the hybrid layer. A client base the current packaging cannot reach at all. Start with a few sessions, then a monthly arrangement with messaging in between, and the option of a session when the conversation shows it would be timely. The AI drafts inside the rules you set. You review at your own cadence. You set the response windows. You are not on call.

In Architect, the coach owns the client list. In Automate, the platform does.

What you can say to your client

Coaching is built on trust, so the moment AI enters the relationship, the contract has to be renegotiated out loud. Your clients are asking themselves the same questions we have just walked through. They usually have not articulated them. They have noticed that something shifted.

The version that lands is short. You prepare with AI you read and edit. You stay the architect of any AI that talks to them between sessions. It is built on your work with them, not on the internet. You can change anything, at any time. That is more precise than saying you use AI for notes, and your client will hear the difference.

By 2028, most leadership and executive coaching engagements will include AI in scope. The next twelve months are the window in which the position you take becomes the practice you have for the decade after.