Helmlane drops a trained AI rep into the gap in each client's GHL and Instantly. It answers replies, books qualified calls, and updates the pipeline - and you approve everything before it goes out. Not another tool. A teammate.
Nothing touches a real lead until you say yes.
The leak after the click
Your client paid for that lead. The prospect replied at 7pm on a Tuesday. By Thursday they had booked with whoever answered first. Nobody quit, nobody dropped the ball - there just was not a person in the gap. That is not a tool problem. It is a role that does not exist yet. Helmlane fills it.
Helmlane gives each AI employee a handbook, rules, approval gates, sandbox tests, and measurable outcomes. Owners keep command while the repetitive revenue work keeps moving.
Chat creates draft knowledge, policy, and employee config. Operators review before launch.
GHL remains the workspace. Helmlane supplies the employee that works inside it.
The measurement mechanism is speed, booked conversations, recovery, and CAC waste.
GHL and Instantly are the launch lane. The platform is adapter-first, so future employees can connect to more CRMs, sequencers, calendars, inboxes, and channels.
Available now
Maya creates conversations. Sofia protects inbound demand. They ship first because they touch the two numbers every agency client understands: CAC and LTV. And they are not tools you configure - they are reps you train, approve, and correct, like a hire, not a workflow.
AI Outbound Growth Rep
Every paid reply gets worked in minutes, not days. Maya reads what each prospect wants, drafts the response for you to approve, and moves the interested ones toward the GHL calendar.
AI Inbound Revenue Rep
Every inbound lead gets fast qualification, the right booking path, and recovery follow-up before interest cools off.
Maya and Sofia are the launch roles. Luna, Quinn, and Clara stay clearly marked as future crew until the shared employee core proves them in real accounts.
In training
Pre-call briefs, objection notes, call summaries, follow-up drafts, and CRM hygiene for closers.
Coming next
Review loops, referrals, reactivation, winbacks, seasonal offers, and customer expansion work.
In safety review
FAQ routing, ticket triage, status updates, escalation summaries, and support handoff discipline.
Train in chat. Test before launch.
You never touch a workflow builder. You explain your business in a normal chat, Helmlane writes the first drafts, then runs them through realistic practice replies so you see exactly how it behaves. Nothing goes live until you approve it.
You explain the offer, who you want, the tone, the qualifying rules, the booking path, and the things it must never do. Helmlane saves it all as drafts to review - it never changes anything live.
You and Helmlane review how it answers, the rules it follows, how it connects to your tools, and anything that should block launch.
Interested, price, objection, angry, unsubscribe, wrong person, and calendar edge cases.
You accept or reject each behavior. Anything you reject is blocked from going live until it is fixed.
Only the behavior you approved goes live, on your selected Instantly replies and GHL updates.
Fear drops when you can see it
You watch Maya handle realistic replies and see, for each one: how she read it, the reply she would send, what she would change in GHL, and why. You approve it, or send it back.
During the test, nothing is real: no emails go out, no GHL records change, nothing reaches an actual lead.
Maya drafts a short reply with the GHL calendar link and marks the opportunity as booked-path started.
Maya suppresses the contact, stops outreach, and drops all booking language. No follow-up unless your rules require it.
Maya gives a short, honest framing and offers a quick call to scope it. She does not invent a price, and she flags it against your pricing rules.
Maya acknowledges it, asks one light qualifying question, and offers a no-pressure comparison call. Never pushy, never knocking the other provider.
Embedded inside the tools already paid for
Helmlane is not competing with GHL pricing. It acts like the junior employee who logs into the existing workspace, reads replies, asks for approval, books through the calendar, and updates the pipeline.
Maya handles selected campaigns, not every campaign by default.
Bookings and opportunity updates follow approved mappings.
For agencies
Your agency owns the client relationship, the CRM, and the growth stack. Helmlane gives you a repeatable AI employee path per client, launched with managed assistance and measured against the revenue constraint already hurting the account.
For local businesses your agency serves
Clinics, contractors, med spas, gyms, legal intake, education, and local services get faster response, better follow-up, fewer missed appointments, and clearer booking handoff from the leads they already paid for.
The measurement mechanism
Every pilot picks one KPI tied to CAC or LTV: booked calls, cost per appointment, missed-lead recovery, no-show rate, recovered leads, retained revenue, or response speed. We baseline, deploy, measure, and adjust.
Pilot-level performance terms belong in the proposal so they can be fitted to real numbers. Public copy stays specific without pretending one promise fits every account.
Questions skeptical operators ask first
The model is simple: hire one AI employee, train it in plain chat, watch it run in a safe test, then launch it inside the tools already running the business.
No. GHL remains the CRM, calendar, and workspace. Helmlane provides the AI employee that works inside it and across adjacent tools like Instantly and Slack.
Maya for outbound reply handling and Sofia for inbound revenue response are the launch roles. Luna, Quinn, and Clara are roadmap roles until their role kits are proven, so the first pilot stays focused on revenue recovery instead of a scattered crew.
Today: GoHighLevel for CRM, calendar, and pipeline; Instantly for selected outbound replies; and Slack for approvals and alerts. Helmlane is built to plug into more tools over time, so other CRMs, email senders, calendars, inboxes, webchat, SMS, WhatsApp, and voice can be added without changing how the AI employee works.
Yes. At the start, you approve everything. The employee reads each reply, drafts a response, and proposes the next step - then waits for your yes. It earns more independence only as you choose to give it.
Helmlane runs realistic replies through the exact same system the live employee uses, so what you approve is what you get. You accept or reject each one, and anything you reject is blocked until it is fixed.
It runs on your own server, or one your agency manages, while Helmlane handles onboarding, review, and updates.
No. Helmlane is not a staffing agency. It is software plus managed implementation; "employee" describes how the AI is trained, supervised, and measured, not employment placement.
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Book a Growth Audit - free, no commitment. We will inspect one client account, find the leak quietly costing the most - slow replies, dead leads, no-shows - and decide whether Maya, Sofia, or both should be trained for your stack first.
Here is what happens: 30 minutes, no pitch and no demo script. We look at one client account with you, find the exact lane where leads are leaking, and tell you whether Maya, Sofia, or neither is the fit. You leave with a diagnosis either way.
We don't walk away until it is working. We get your first AI employee trained, tested, and live in the agreed lane - or we keep working at no extra setup cost until it is. Nothing touches a real lead until you approve it.