Human in the Loop. On the Loop. Out of the Loop.

A coach's guide to the line you actually hold. Earlier this month I was in Dublin at IAPP AI Governance Global Europe conference, where hundreds of AI governance professionals were discussing how to navigate AI governance challenges, solutions and upcoming legislation in a rapidly changing landscape. Not long before that, ICF and EMCC were holding their own global annual meetings. Three rooms, the same question. Who stays in charge of an AI that increasingly becomes autonomous and humane.

Both coaching bodies have called from their stages this year for the profession to engage. Neither has set a compliance standard yet. The window in which coaches set their own standard, rather than waiting for one to be set for them, is open right now.

The three positions

These terms come out of AI governance, originally work on autonomous systems. They have now reached coaching. Vendors use the word “supervised” for any of these three positions. Knowing which one you actually bought is the only protection you have when a client, an insurer, or a regulator asks.

Human in the loop. A human is a required step. The AI cannot act until a person approves. Nothing reaches the end output without a human hand on it. Slow. High accountability. The simplest position to stand behind, because someone signed off.

Human on the loop. The AI runs on its own. A human supervises, watches, and can intervene. The system does not wait for the human. The supervision lives in the architecture and the review loop, not in every keystroke. Faster. Defensible only if the supervision is real and designed, not theoretical.

Human out of the loop. Full AI autonomy. No human is positioned to intervene during the operation. Full trust in the model with the built-in guardrails. The audit comes after.

Where you sit on this map decides three things at once. Whether the human stays in the loop through architecture, design, and ethics, not just through real-time approval. What you can honestly tell your client. And what kind of practice you have.

The human can remain oversight in all three positions. The mechanism changes. The commitment does not.

Where each one already lives in coaching

You see all three positions in coaching right now, even if no one names them.

Human out of the loop is the 420 million weekly conversations on generative AI that have no coach, mentor, or therapist in them. A coachee opens ChatGPT at 11pm, types out what they cannot bring to the next session, and takes the answer at face value. If the conversation goes somewhere off the track, no one will know until it shows up in the room weeks later. Your clients are in this category whether they tell you or not.

Human on the loop is where the enterprise platforms are quietly moving. The chatbot speaks to the coachee. The coach in the network receives a dashboard. The conversations happen without them, and most will never be read.

Human in the loop is what CoachNova does today, and what most credentialed coaching practices do now when they bring AI in carefully. Every output is first reviewed and approved by the coach before it reaches the client. The coach is the gate.

The difference between “human in the loop” and “human on the loop” is in what you have to show, and to whom. Both can be legitimate. The architecture decides which is which. With built in actual guardrails, not just claims.

Where CoachNova lives on the map

Most credentialed coaching practices today, CoachNova included, deploy human in the loop by default. People expect a lawyer to say “stay in the loop, do not move.” That is not what I say to CoachNova, and it is not what I would say to any company building real AI in 2026. A working AI practice lives across the whole map. The discipline is matching the lane to the action, and proving the floor under each one. CoachNova is designed to live across all three.

Across all three, the coach holds the covenant with the client. The mechanism changes. The covenant does not.

Human in the loop, by default

Every AI output you sign as the coach. Session notes, prep briefs, drafted client messages. Every Nova output reaches you before it reaches your client. You read, you edit, you release.

In this lane the AI is doing the work of a thinking partner who has read every session you have ever had with this client. Before a high-stakes session, Nova pulls together what the client has been working on, surfaces the question you asked last that landed hardest, and drafts the brief. You walk in prepared. After the session, the notes are ready in minutes. The agent of the practice is still you. The AI gives back time, signal, and a sharper version of the question you were already asking.

This lane stretches as far as your reading time stretches. Which is why the next two lanes exist.

Human on the loop, for Nova AI for Clients

The layer where your client talks to AI directly between or after sessions. You will not be approving each message in real time. The AI runs. You monitor and intervene, if necessary. Telling you this is still “human in the loop” would be marketing language. I would not advise CoachNova to use it. The description matters because the architecture has changed.

The monitoring is real if, and only if, five things are true. Expect to see all five anywhere a vendor uses the word “supervised.”

1. Your methodology, voice, and guardrails go in first. Yours. Locked before any client gets access. You are not approving each message now. You are approving the rules and voice every message has to live inside.
2. One client, one context. Always. Your work with one client is not in the same context as your work with another. The retrieval boundary is the client. Drift across clients is closed off at the architecture level.
3. AI learns on your sessions, not on the internet. Tightly prompted on the context you have built together with your client. Shaped by your work, not by what model infers might be the answer the client wants to hear. This is what we mean when we say “the coach's AI” rather than “a coaching chatbot.”
4. You receive a summary of every conversation that you can read in your own time. A weekly digest with anomalies surfaced at the top, not buried in a log. A one-tap intervention path. Pause, edit the instruction, change the context. Effective within 24 hours. The lever is in your hand.
5. Crisis paths designed in, with you at the other end. Built-in red flag signals trigger a response to the client immediately, and an escalation to you and to us immediately. You are the human at the other end of that escalation, not a checkbox in a log. The Canadian case where a major AI provider was held responsible for a chatbot that flagged signs of harm and did not escalate is the cautionary tale every AI governance professional carries in their head. We do not want to be that story.

In this lane the AI is a co-worker on your behalf when you cannot be in the room. Same thinking partner, different chair.

Human out of the loop, only by your client's choice, only with the floor still holding

Your client can decide to make their conversations with your AI private from you. We honour that choice. It belongs to them. When they make it, you no longer see the content of those conversations. What you still see is the signal minimum: how often the AI is being used, what topics are coming up at the category level, and any crisis flag.

The five items above do not turn off in privacy mode. The retrieval boundary still holds. The tightly scoped contextualisation still holds. The crisis paths still fire to you and to us.

Especially in privacy mode.

This is not the coach being moved out of the loop by us. This is the client choosing privacy, with the supervision floor preserved underneath. We do not put coaches out of the loop. Clients can choose this model independently, with the guardrails still holding. Vendors who quietly move you out of the loop to save margin are a different category, and you should be able to tell them apart from us by reading the architecture, not the marketing copy.

What you can say to your client

A coach asked me how to talk about this with a client. The version that lands is short.

“I use AI in two ways. For the work between us, I read and approve everything before it reaches you. For the moments between our sessions, when you want to think out loud and I am not available, you can talk to an AI built on my methodology, in my voice, trained on the work we have done together. I read every conversation in my own time, unless you ask me not to. You can change anything, any time. If you would rather not use it, you do not have to.”

Short, precise, and more useful than “I use AI for notes.” Your client will hear the difference.

What to ask any AI tool vendor in your practice

Four questions, in order.

1. Action by action, where am I on this map. In, on, or out? Make the vendor say one of the three words for each action their product takes.
2. Where I am on the loop or out, who chooses. Me, my client, or you? Vendor-chosen out-of-loop is a different risk from client-chosen out-of-loop.
3. Show me the architecture that proves the floor holds when I am not in the loop. Scoping, crisis paths, signal minimum, intervention. The five items above are a fair starting list. If you cannot get a clear answer to any of them, the supervision is being claimed, not delivered.
4. What happens if AI hallucinates or goes rogue? Do you have an incident response protocol? How do you deactivate it?

Closing

There is one question that comes up in every conversation I have with a coach about this. “Will I still be the coach if my AI is in the conversation when I am not?”

The answer is yes. The lane the AI is sitting in matters less than who put it there and what is holding the floor underneath.

Human out of the loop without crisis paths, without a supervision floor anyone can read, is where the covenant breaks. Human out of the loop because your client asked for privacy, with the architecture still holding, is where the covenant holds. The coach holding the covenant is still you. The map is bigger than one lane.

Laura Foltina is a certified privacy and AI governance lawyer and founding AI Governance Advisor to CoachNova. Louise Doorn is co-founder and CEO of CoachNova.