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Agorix
Updated 29 July 2026

AI marketing automation with approval: the gate is the design.

Handing marketing work to an agent is not a question of how much it can do. It is a question of which actions require a person, and how that person sees enough to say yes in ten minutes. This is the operating guide: what to delegate first, what stays gated, how to review prepared work quickly, and how trust is earned one job at a time.

04delegation tests
03review routines
03rungs of trust

What you will have at the end

  • Four tests for which marketing jobs are safe to hand over first
  • A definition of an approval gate that is more than a notification
  • The four properties that separate a real gate from a rubber stamp
  • Review routines for a prepared funnel, an email batch and a segment
  • A way to budget agent capacity so one large job does not eat the month
  • Three rungs of trust, with the rule for climbing and the rule for coming back down
A workspace home showing revenue, contacts, workflows and registrations in one view, with the agent reachable from every screen.
Rule 00The shape of the job

The unit of delegation is prepared work, not a sent message.

Four verbs, in a fixed order: you direct, it prepares, you review, it releases. Every difficult question in this area turns out to be a question about where the third verb goes — and almost every failure is somebody quietly removing it.

That order matters more than it looks. Asking a general assistant for a launch produces a good plan and a bad afternoon: you then copy the page into one system, the emails into another, the event into a third and the automation into a fourth. The plan was never the expensive part. The copying was, and so was reconstructing the context at every boundary — which customers bought before, who is showing intent now, what is already live.

An operator is different in one specific way: it prepares the work where the work lives, using the business knowledge and customer context it has been permitted to use, and it stops in front of you with something you can inspect. Not text you have to move. Not an action already taken. A prepared thing, waiting.

Agentic does not mean unsupervised

The interesting design question is not how much an agent is capable of doing. It is which actions require a human decision, and how that human is shown enough to make it quickly. Get that pair right and you can delegate far more than you would dare to otherwise, because the cost of being wrong is bounded. Get it wrong in either direction — gates everywhere, or gates nowhere — and you end up doing the work yourself either way.

Scope 01The first jobsFour tests

Repeatable, reversible, context-rich — and checkable in ten minutes.

The first three are the same tests that decide whether a task should be automated at all. The fourth is specific to delegation, and it is the one people discover the expensive way.

  1. Repeatable. You have done it by hand at least twice and the steps did not change between them. A job you have never done once yourself cannot be delegated, to a person or to an agent, because you have no way of recognising a good version of it.
  2. Reversible. If the output is wrong, you can undo it. A draft is entirely reversible. A configuration change you can switch back is nearly so. A send to your whole list is not reversible at any price, which is why that is the line the gate sits on rather than a step you speed up.
  3. Context-rich. Everything a competent new colleague would need is written down somewhere the agent is permitted to read — the offer, the terms, the voice, what you already sell, what you tried last time. If you would have to explain it in a paragraph every time you asked, write that paragraph into your knowledge sources first. That is not preparation for the work; it is most of the work.
  4. Checkable in about ten minutes. You can tell whether the output is right quickly, without rebuilding it to find out. If reviewing costs more than doing, you have not delegated anything — you have created a second job and given yourself the duller half.

Notice that the third test is the only one that generates work for you. Writing down the offer, the terms, the voice and the history is the part that makes everything afterwards possible, and it is the part people skip because it does not feel like automation. An agent working from thin context produces confident, structurally perfect, entirely generic work — and you will spend longer fixing that than you would have spent writing the source material once.

Good first jobs

  • Prepare the follow-up sequence for a session you already ran, using what actually happened in it
  • Draft a segment definition and show which records currently match it
  • Turn a written operating rule into a workflow, with the review points marked
  • Summarise a customer, campaign or event into a brief before a conversation
  • Prepare a revision of a page that already exists and already converts
  • Turn approved source material into a curriculum outline for review

Not yet

  • Anything that reaches a customer without a person having read it
  • Pricing, offer terms, guarantees and anything else you would put in a contract
  • Anything touching billing, refunds or access revocation
  • Work whose source material only exists in your head
  • “Make our marketing better” — no stated outcome, no artifact to inspect

The right-hand column is not permanent. Most of it moves left once the source material exists, the job has been done by hand a few times, and you have watched a gated version run. What does not move is anything you would put in a contract.

Gate 02The approval gate

A gate is a place work stops, not a message saying it happened.

Treat the gate as a design pattern rather than a safety feature bolted on afterwards. You are deciding, once, which classes of action a person must authorise — and then building everything else to run freely inside that boundary.

What stays gated

  1. Customer-facing. Anything a person outside your business will read, receive or land on. The gate is not about the quality of the writing; it is about the fact that you cannot recall it.
  2. Consequential. Spends money, changes a price, grants or removes access, deletes something, or is materially hard to reverse. The test is not how complicated the action is — it is what it costs to be wrong.
  3. At scale. The same action against twelve records and against twelve thousand are different risks wearing the same name. Blast radius belongs in the gating decision, and it is the one people leave out.
  4. Irreplaceable. Anything touching a record you could not reconstruct — historical customer data, the audit trail, the one document nobody has a copy of.

And what does not: work that only produces a draft, analysis and summaries, and changes scoped to a single record you can undo in a click. Gating those feels responsible and is actively harmful, because every unnecessary gate spends the attention you need for the ones that matter.

Four properties of a gate that is real

  • The reviewer sees the change, not a description of it. A summary saying “prepared five emails and a segment” is a notification. The gate is only real when you can read what will actually go out, to whom, and when.
  • It has a named owner and lands on their list. A gate in a system nobody opens is a delay, not a control. Somebody specific has to be responsible for clearing it, and it has to appear where they already look.
  • The default is not-approved. A gate that expires into “send” after 48 hours is a countdown with a polite name. When nobody responds, the correct outcome is that nothing happens.
  • It leaves a record of who approved what. Not for compliance theatre — for the conversation you will have with yourself in three months when you are trying to work out how something went out. Confirm what your workspace actually retains before you depend on it.
The failure that looks like control

Forty approvals a day is not a review process.

If somebody is clearing dozens of gates without reading them, the risk is exactly what it was before — and it is now documented as reviewed, which is worse. The fix is fewer gates, better read: consolidate. One gate on a whole prepared launch, examined properly, beats nine gates on its parts that everybody clicks through on a Friday afternoon.

Read 03Reviewing prepared workThree routines

Check the inputs before you read the output.

If the brief was wrong or the source material was stale, no amount of careful reading will rescue the result — and checking takes about ninety seconds. What did it use? Is that current? Is that the audience I meant? Then read.

After that, the review is not a general act of scrutiny. It is a short routine per kind of artifact, and the routines are short on purpose: a review you can complete in ten minutes is a review that will actually happen every time, which is worth far more than a thorough one that happens twice.

Routine 01

Approving a prepared funnel

  • Does the offer, the price and the terms match what you actually sell today
  • Where does money change hands, and is that path real rather than plausible
  • What happens to the people who do not convert — the else branch is where prepared work is usually thinnest
  • Who receives what, and when, listed in one place you can read in a minute
  • What is scheduled to send with no further gate in front of it
  • Can you switch the whole thing off in one action, from your phone
Routine 02

Approving a batch of emails

  • Read the first and the last properly — they bracket the arc; skim the middle for repetition
  • Check every factual claim about the business: dates, prices, what is included, guarantees, availability
  • Check the exits and the suppression — buyers, unsubscribes, anyone already inside another sequence
  • Check the send window against everything else going out that week
  • Read one email aloud. Off-voice survives silent reading and never survives being spoken
Routine 03

Approving a segment

  • Check the count before the definition — a wildly wrong number reveals the misunderstanding fastest
  • Spot-check five records, including at least one person you know personally
  • Check what is excluded, not only what is included
  • Ask what happens to somebody in this segment when their state changes tomorrow

One rule sits above all three. If a review is taking substantially longer than ten minutes, the problem is the size of the job rather than your thoroughness. Ask for it in pieces — the segment first, then the sequence, then the schedule — because a prepared artifact you cannot hold in your head is one you will eventually approve on vibes.

Spend 04Agent capacity

Know what the agent can spend before you approve the work.

Delegation has a budget as well as a boundary. In Agorix that budget is AI Credits, which measure eligible Operator work — preparing funnels, pages, emails, segments, workflows, course material and audits — and each paid plan includes a monthly allowance.

PlanIncluded AI Credits
Launch2,500 per month
Growth10,000 per month
Pro25,000 per month
Business40,000 per month
Agency / Enterprise75,000+ per month

Those are the current published allowances; the pricing page is the authority on them, along with credit packs for months that need more than the plan carries.

Four habits that make the budget predictable

  1. Treat the monthly allowance as this month’s work budget. Not as a background utility you never think about. Included credits reset each month, so an allowance you did not use is an allowance you gave back — and one you overspend in week two leaves the rest of the month without capacity for the small, useful jobs.
  2. Sequence the large jobs deliberately. The published example puts a full course build at roughly 1,200 to 1,800 credits, while an email rewrite or a small page revision is a small task and a coordinated funnel is a medium one. Two large builds and a launch in the same month is a scheduling decision, not an accident to discover on the 20th.
  3. Read the estimate as a scoping signal. Before a larger task begins, Agorix should show an estimated credit range so you can review the scope and decide whether to proceed. An estimate much larger than you expected almost always means the brief is vaguer than you thought — narrow it and ask again rather than approving and hoping.
  4. Know which capacity expires. Included plan credits reset monthly. Purchased credit packs are prepaid and currently roll over for twelve months. So a predictable heavy month — a launch, a course build, a migration — is an argument for a pack rather than for permanently moving up a tier.

The estimate shown before a larger task is the most useful part of this whole mechanism, and it is worth treating as a conversation with yourself rather than a toll. It arrives at exactly the moment when changing the scope is still free — which is the same reason an approval gate is placed before execution rather than after it.

Stated plainly

The self-serve trial does not enable the AI Operator.

This is worth knowing before you plan a first month around it. The current Agorix self-serve trial covers the connected platform but does not turn on the AI Operator; the monthly AI Credit allowance arrives with a paid plan, and a walkthrough is currently how you see an agent workflow end to end before choosing one.

Where a tool decision changes the plan

An operator is only as useful as the context it is allowed to see.

Prepared work is worth reviewing when it was built from your real customer story rather than from a prompt window. The AI Operator is a paid-plan capability — the current self-serve trial does not enable it — so the trial is where you see the connected record itself, and a walkthrough is where you watch an agent work on it. See how the AI Operator works.

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Climb 05The trust ladderThree rungs

Trust is granted to a job, never to an agent.

That sentence is the whole safety model. An agent that has prepared forty good follow-up sequences has earned nothing at all about pricing pages, and treating competence as transferable is how organisations end up surprised.

  1. Drafts only. Output goes nowhere near a customer and nowhere near your live configuration. Stay on this rung until your corrections stop being structural — the moment you are changing wording rather than approach, the job is understood well enough to move up.
  2. Gated execution. The agent prepares and configures the work where it belongs, and nothing customer-facing or consequential is released without approval. Most jobs should live here permanently, and that is not a halfway house. It is the design.
  3. Standing approval, for one proven job. A narrow, named job runs without a per-instance gate, inside a cap, reviewed on a schedule. This rung is earned by a specific job rather than granted to an agent, and the difference between those two sentences is the entire safety model.

Five conditions before a standing approval

All five must be true

  • It is one job with a specific shape, not a category of work
  • It has run gated often enough that you can predict the output before you read it
  • It is reversible, and you have actually reversed one to check
  • It is capped — on volume, on spend, on how many people a mistake could reach
  • It has a named owner and a review date already in the calendar

Not reasons to grant one

  • The gate has become annoying
  • Nothing has gone wrong yet with a different job
  • The person who was reviewing it is busy
  • It would be faster, and speed is the point

Write the demotion rule at the same moment you grant the approval, in the same sentence: one materially wrong output returns this job to gated review. Deciding that in advance is the entire trick, because the day after something goes out wrong is the worst possible day to have a conversation about policy — everybody is defending a position instead of applying a rule.

What each rung looks like in practice depends on the roles, permissions and controls configured in your workspace, and on what the platform currently supports. Confirm the activity history and the reversibility you actually have before granting anything on the third rung — that rung assumes you can see what happened and undo it.

Back 06Taking it back

Four ways prepared work is wrong, and what each one is telling you.

Wrong output is information about your inputs far more often than it is information about the agent. Reading it that way is the difference between improving the system and rewriting the same brief forever.

  1. Subtly wrong facts. The dangerous one, because everything around it is right. A date that shifted, a price that changed last quarter, a bonus that no longer exists. Almost always caused by two source documents disagreeing and nobody having noticed.
  2. Right-shaped and hollow. The structure is perfect and there is nothing specific in it. Usually means the source material was thin, so the work had nothing to be specific about.
  3. Correct but off-voice. Accurate, competent, and not how you talk. Usually means the brand guidance available to it is a list of adjectives rather than examples of your actual writing.
  4. Correct but aimed at the wrong people. Good work for an audience you did not mean. This is a brief failure rather than an output failure, and rewriting the output fixes it exactly once.

In every case the response is the same shape: shrink the job, not the ambition. Put that job back behind a gate, fix the input the failure pointed at — the disagreeing documents, the thin source material, the brand guidance that is a list of adjectives — and run it again on a smaller scope. What does not work is asking more insistently.

The standing rule

If you cannot say what it used, do not approve it

Provenance is the cheapest control in this guide and the one most often skipped. It costs one question and catches the entire class of errors that look correct.

The point of all this

A gate you can clear quickly lets you delegate more

None of this is caution for its own sake. A review you trust and can finish in ten minutes is what makes it reasonable to hand over the next job, and the one after that.

Start with one job. Run it as drafts until the corrections are cosmetic, move it behind a gate, and leave it there while you learn what it does on an unusual week. Add the second job only when the first has stopped being interesting — which is the same restraint that governs your first marketing automations, for the same reason.

Common questions

Six questions about approving agent work.

What is an approval gate in AI marketing automation?

A named point in an automated job where prepared work stops and waits for a person, with the actual change visible before anything is released. It is not a notification, and “let me know when it is done” is not a gate. Four properties make one real: the reviewer sees the change rather than a summary, a named person owns clearing it, the default when nobody responds is that nothing happens, and there is a record of who approved what.

Should AI be allowed to send emails to customers automatically?

Customer-facing and consequential work should sit behind a human review step — that is the whole design pattern, not a temporary caution while the technology improves. Gate anything you cannot recall, anything that spends money or changes access or price, anything with a large blast radius, and anything touching records you could not reconstruct. Drafts, analysis and single-record changes you can undo do not need a gate, and gating them dilutes the attention available for the gates that matter.

Is the AI Operator included in the Agorix trial?

No. The current Agorix self-serve trial does not enable the AI Operator. Paid plans include a monthly AI Credit allowance for eligible Operator work, and a personalised walkthrough is currently the way to see an agent workflow before you choose a plan — the pricing page carries the current allowances and the exact trial terms. The trial itself covers the connected platform: a payment method is required, nothing is due on the day, and cancelling before the first charge costs nothing.

How do I review AI-prepared work without redoing it?

Check the inputs before the output — a wrong brief or stale source material cannot be rescued by reading the result more carefully, and the inputs take ninety seconds. Then run a routine per artifact: for a funnel, the offer terms, where money changes hands, what happens to non-converters, and what sends without a further gate; for an email batch, the first and the last in full plus every factual claim about the business; for a segment, the count before the definition and five spot-checked records. If the review runs past ten minutes, the job was too large.

What are AI Credits, and do they expire?

AI Credits measure eligible AI Operator work — preparing funnels, pages, emails, segments, workflows, course material and audits. Each paid plan includes a monthly allowance, from 2,500 on Launch up to 75,000 or more on Agency and Enterprise. Included credits reset each month; purchased credit packs are prepaid and currently roll over for twelve months, which is why a predictable heavy month is usually an argument for a pack rather than a permanent tier change. Before a larger task begins, an estimated range should be shown so the scope can be reviewed first.

When can I let an agent run without approving each time?

Grant standing approval to a specific job, never to an agent in general. Five conditions: the job is narrow rather than a category, it has run gated often enough that you can predict the output before reading it, it is reversible and you have reversed one to prove it, it is capped on volume and blast radius, and it has a named owner with a review date already in the calendar. Write the demotion rule at the same time — one materially wrong output puts the job back behind a gate — because nobody wants to argue about policy on the day something goes wrong.

Keep going

What to delegate, and what to build first.

Direct · Prepare · Review · Release

You have the gates. Agorix is the record they protect.

Events, courses, campaigns, checkouts and workflows on one customer record — with human approval points for consequential work. The AI Operator itself is a paid-plan capability and is not enabled in the current self-serve trial; book a walkthrough to see an agent workflow run end to end.

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