White-label AI automation for agencies

White-label AI automation lets your agency sell AI work to clients without hiring an AI developer. You bring the client and the problem. We scope and build the automation on the Claude or OpenAI API, then hand it back with your name on every document.

Every automation starts as one measurable task, and a person approves anything that reaches a customer.

What is white-label AI automation?

White-label AI automation is AI workflow development that an outside team builds and your agency delivers as its own. The partner connects a model such as Claude or GPT to the client’s forms, inbox or CRM, and adds the checks a business needs. The partner stays invisible: no credit, no client contact.

In practice, one defined job moves from a person to software, such as sorting overnight enquiries or drafting the monthly report from live figures. Agencies use it to add AI to their offer without carrying the cost of a specialist hire.

AI automation for agencies: what we handle and what you keep

We handle the design, build and testing of the automation. You keep the client, the decision about what the AI is allowed to do, and the price you charge for it.

Many briefs start vague: the client wants “some AI” and nobody has defined the job. Our first job is finding the task that eats the most hours and is safe to automate, then timing it as it runs today.

Tasks that suit AI automation

• Lead qualification: read each enquiry, score it against the client’s criteria, route it to the right person and draft a reply for approval.
• Report drafting: pull the month’s figures from the ad platforms and analytics, then draft commentary your account manager edits.
• Support triage: tag and prioritise incoming tickets, and suggest replies from the client’s help content.
• Content pipelines: product descriptions drafted from a spreadsheet, with an editor’s sign-off before publishing.

The edge cases we plan for

Language models give slightly different answers to the same input. So we keep an evaluation set: real examples with the answer you expect, re-run whenever a prompt or model changes.

Providers also retire models and change their limits. We pin model versions where the API allows and queue requests, so an outage delays work instead of losing it.

Every run is logged with its token use, and you get a monthly usage report to check against the cost model agreed at scoping. A kill switch lets your team pause the automation without calling a developer.

Which approach fits which client

The right approach depends on whether the task needs judgement or only rules. Match the client’s problem to the build below, and treat AI as one step inside a workflow rather than the whole product.

Client need	Approach	Why
Leads land in three inboxes and a spreadsheet	Workflow automation in n8n, Make or code	Moving and deduplicating data is a rules job. A model would add cost and risk for no gain.
Enquiries need reading, sorting and a first reply	An AI step inside a workflow, with approval before anything is sent	Models read messy text well. A person still checks what goes out under the client’s name.
Website visitors ask the same things all day	An AI assistant grounded in the client’s content	Answers come from approved pages with a source, and the visitor reaches a person when the assistant cannot help.
A WordPress site needs a voice or chat agent that books services	Our SoftVolt AI Voice Agent plugin	It already handles bookings, hand-offs and lead alerts, so setup can replace a custom build when the brief fits.
The client’s team runs the business on a spreadsheet	An internal tool on Next.js and PostgreSQL	It gives the team roles, an audit trail and validated imports, which a shared sheet cannot.

Where AI automation is a poor fit

We will tell you when AI is the wrong tool. If the rule can be written down, plain code is cheaper and never improvises.

We also steer clients away from AI for exact calculations, and for advice a customer will act on with no human check. A task done twice a month rarely repays the build cost either.

How a project runs with your agency

Every project runs through one named producer in a shared Slack Connect or WhatsApp channel, from brief to handover. You get a written scope and a fixed price within two business days, and nothing starts until you approve it.

Our team is in Dhaka (UTC+6, no daylight saving). Our afternoon overlaps the UK working day, our evening covers US East Coast mornings, and our morning meets the Sydney afternoon. Brief us at 5pm London and review at 9am.

Automations run against test data and past examples before they touch a live account. Staging, commit messages and documents carry your agency’s name. The evaluation results come with the handover, so you can show the client what was tested.

Pricing for AI automation work

AI automation is part of our Premium plan, from £2,400 a month, and of the Enterprise plan, which is quoted. Premium covers up to 6 active projects at a time, a named producer and shared channel, and priority support with a same-day response.

A one-off automation outside a plan gets its own written scope and fixed price. These things move that price most:

• How many systems the automation connects to, and how clean their data is
• Whether the output reaches customers, which adds an approval flow and more testing
• The size of the evaluation set the task needs before it can go live
• Where it runs: n8n cloud, a self-hosted n8n instance or a custom Node.js service

AI usage, n8n and other tool costs are billed at cost or held in your own accounts, with no mark-up. Every plan and its inclusions are on our rates page.

Builds you can open

None of the eight case studies on this site is an AI automation project, and we will not present one as if it were. Two things are open for you to check instead.

The first is our own SoftVolt AI Voice Agent WordPress plugin. It answers visitors by voice or text, using only the facts it is given, and hands hot leads to a person.

It is free on WordPress.org. Install it on a test site and check how it keeps API keys server-side and caps daily messages.

The second is The Bulk Bag Man headless build, delivered by our founder. Contact form submissions pass through a Next.js route handler, so the browser never talks to WordPress directly. Our AI integrations follow the same rule: API keys stay on the server.

In-house hire, freelancer or white-label partner

A white-label partner suits agencies that sell AI work regularly but cannot keep a specialist busy every week. An in-house hire makes sense once automation is a steady, full-time workload.

What matters	In-house hire	Freelancer	White-label partner
Time to start	Weeks to months to advertise, interview and onboard	Whenever someone good is free	A written scope and fixed price within two business days
Who manages the work	You do	You do	A named producer in your shared channel
Range of skills	Whatever one hire knows	Usually one specialism	AI automation plus the WordPress or Next.js site it plugs into
Testing	One person checking their own work	Depends on the individual	An evaluation set agreed at scoping and re-run on every change
When it ends	Notice periods and a new search	A scramble to recover files and logins	Handover with documentation, and our access revoked
Confidentiality	Internal, so it does not apply	Sometimes, and your client may appear in their portfolio	Mutual NDA, no contact with your client, no credit anywhere

Your client stays yours

We will not approach, quote for or accept work from your client, during the project or after it. There are no footer links or “built by” lines, and no portfolio use without your written permission.

Credentials live in a shared 1Password or Bitwarden vault, never in email. We take the least access the work needs, such as a scoped WordPress role rather than an owner login. We revoke it at handover and confirm that in writing.

Client data and AI APIs

AI automation often sends client data to a model provider, so we name that provider as a sub-processor in the data processing agreement. Bangladesh is not on the EU adequacy list, so UK and EU personal data moves under the UK IDTA or Addendum and EU SCCs.

We design each automation to send only the fields the task needs. The API account can sit in your name or your client’s, so the data relationship stays with them. Read every practice on our security and confidentiality page.

Working with agencies in the UK, US, Canada and Australia

For UK agencies

Our afternoon in Dhaka runs alongside your working day, so a brief sent at 5pm London can be in review by 9am. We handle client personal data under UK GDPR, with the IDTA or UK Addendum and an Article 28 agreement.

For US, Canadian and Australian agencies

Our evening overlaps Eastern Time mornings in New York and Toronto, and our morning overlaps the Sydney afternoon. If a client has sector rules on data, such as in health or finance, say so in the brief and we will scope around them.