A white label automation agency builds automations and AI systems that your marketing agency sells to clients under your own brand. You own the client relationship and the pricing, the partner does the building and often the maintenance, and the client never needs to know a second company is involved. Done well, white label automation lets an SEO, PPC or GoHighLevel agency add a new service line without hiring an automation engineer.
I build automations for marketing agencies, sometimes for the agency itself and sometimes for the agency's clients. This guide explains how white label automation services actually work, what is worth reselling, and what to put in writing before you sign with any partner, including me.
What a white label automation agency does
The basic arrangement has three parties:
- Your agency sells the service, owns the client, sets the price and handles the main communication.
- The white label partner scopes, builds, tests and documents the automation, usually working inside the client's accounts or accounts you control.
- The client gets a working system and deals with your brand.
The partner can sit fully behind the curtain, or join calls as "our automation lead" using your agency's email domain. Both are common. The important part is agreeing up front which one you want.
What you can resell as white label AI automation
Not every automation makes a good product. The best white label offers are repeatable, easy to explain and tied to revenue or time saved for the client.
Lead handling
- Instant follow-up on form fills and ad leads by SMS and email
- Missed call text back
- Lead routing to the right salesperson with an alert
- Database reactivation campaigns for old leads
These sell well because the client can see leads being contacted. See speed to lead for agency clients for how I structure them.
AI chat and voice
- Website chatbots trained on the client's own pages and FAQs
- AI receptionists that answer calls, qualify and book
- After-hours voice agents for home services and clinics
These are popular white label AI automation offers, but they need careful scoping, testing and ongoing review.
Reputation and retention
- Automated review requests after a job is completed
- Customer feedback surveys with alerts on negative replies
- Re-engagement messages for past customers
Back office for the client
- Invoice and payment reminders
- Form to CRM syncing
- Document generation, such as quotes or onboarding packs
How pricing usually works
There is no single standard, so here are the models I see most often. The numbers below are illustrative only.
- Fixed build fee plus monthly retainer. The partner charges you a fixed fee per build and a monthly fee for hosting, monitoring and small changes. You mark both up to the client. For example, if a partner charges you a fixed fee for a lead follow-up build, you might charge the client a setup fee plus a monthly management fee that covers your margin and account management.
- Productized packages. The partner offers a fixed menu, such as "missed call text back plus review requests", at a set price per client. This is easy to sell and easy to forecast.
- Hourly or day rate. Flexible but hard to quote to clients. Best for one-off custom work.
- Revenue share. Rare, and harder to administer. Only works when both sides trust each other's numbers.
Whatever model you choose, make sure the client price covers the tool subscriptions too. Messaging platforms, voice AI and automation platforms all have usage costs that grow with volume, and those costs change. Check current pricing pages before you build a margin model.
White label automation: what to agree in writing
This is where most partnerships go wrong. Before you sell a single project, agree on these points.
Ownership of accounts and workflows
Who owns the Make, n8n, Zapier or GoHighLevel account the automation runs in? My strong preference is that the workflows live in accounts owned by the agency or the end client, not the partner. If the partner disappears, the client's automations should keep running and be editable by someone else.
Access and credentials
List which systems the partner needs access to and how access is granted. Use individual user invites where the tool supports them instead of shared passwords, and remove access when work ends.
Support and response times
Agree what happens when something breaks. Who gets the error alert first? How quickly does the partner respond? What counts as a fix versus a new feature?
Documentation
Every build should come with plain language documentation: trigger, steps, systems touched, and what to check when it fails. Without it you cannot switch partners or train your own team later.
Confidentiality and non-solicitation
A white label partner should not approach your clients directly or reveal the arrangement unless you agree. Put that in the contract.
Data handling
Client data, especially lead data, call recordings and anything health related, needs clear rules on where it is stored and who can see it. If you sell to clinics or regulated industries, involve a lawyer.
How to choose a white label automation partner
Here is the checklist I would use if I were on your side of the table.
- Ask for real, live builds. Not screenshots of a template. Ask what triggers it, what it connects and how errors are handled. My own builds are on the work page.
- Check they build in your tools. If your agency runs on GoHighLevel and ClickUp, a partner who only knows a different stack will be slow.
- Test their scoping. A good partner asks about edge cases: duplicate leads, missing fields, after-hours messages, opt-outs.
- Look at their error handling. Ask what happens when an API call fails at 2am. If the answer is "it just stops", keep looking.
- Start with one paid pilot. One client, one workflow, fixed scope. You learn more from one delivery than from ten sales calls.
Risks of white label automation services
- Overpromising AI. Chatbots and voice agents can make mistakes. Sell them with clear limits and a human handoff, not as a replacement for staff.
- Support load lands on you. The client will call your agency when something breaks. Make sure your partner's response time matches what you promise.
- Platform dependency. Pricing and features on automation and AI platforms change. Build some margin and review costs regularly.
- Messaging compliance. SMS and calling in the US have consent and registration rules.
How I work as a white label automation partner
I work with marketing agencies of roughly 5 to 50 people. I build in the agency's or client's own accounts, document every workflow and add error alerts by default. I have 14 automations in production across 2 agencies, built in Make, and I am happy to stay behind your brand.
If you want to test the waters, the Automation Rescue is a small fixed-price project that shows you how I work, and fixed prices for larger builds are on the pricing page. Or send me one client process and I will record a free 15-minute Loom teardown showing how I would build it.
FAQ
What is white label automation?
White label automation is when a specialist builds automations or AI systems that another agency sells under its own brand. The agency owns the client relationship and pricing, and the partner does the technical work.
Can I resell AI automation to my agency clients?
Yes. Common offers are lead follow-up, AI chatbots, AI receptionists, review requests and reactivation campaigns. Make sure you understand the tool costs, compliance rules and support load before you set a price.
Who should own the automation accounts in a white label deal?
Ideally the agency or the end client. That way the automations keep running if you change partners, and you are not locked into one provider.
How do I price white label automation services?
Most agencies charge a setup fee plus a monthly management fee, with a margin over the partner's cost and the tool subscriptions. Check current tool pricing before you commit to a client price.