White-label AI agents: add artificial intelligence to your agency's offer

Every client asks the same thing: *can you help us with AI?* From the chatbot that answers common questions, to the AI agent that searches internal documentation, to the automation linking the CRM, email and quotes, demand is real. But shipping an agent that is reliable, secure and useful takes skills few web agencies have in-house. White-label AI agents let you answer now, under your brand, with a partner that designs, builds and maintains the solution.

What an agency can sell in AI

• A website assistant that answers visitor questions from the site's pages, FAQ and terms, and hands off qualified leads.
• An agent connected to company documents (procedures, catalogues, contracts) using RAG. See RAG explained for businesses.
• A customer service agent on email or WhatsApp, with handoff to a human. See deploying an AI customer service agent.
• Automations: lead qualification, quote creation, meeting summaries, sync between tools. See n8n automation workflows.
• Internal tools for the client's team: document search, assisted writing, data analysis.

To explain the difference to clients, our piece on AI agents vs chatbots makes a good handout.

Why white label fits AI

AI moves fast: models, tools and best practices change every few months. Hiring and training an in-house team is a risky bet for an agency whose core business is not AI. In a white-label setup, the agency brings what matters to the client: knowledge of its business, tools and brand. The partner brings the engineering: model choice, architecture, integrations, security, answer-quality evaluation and maintenance.

A typical project

1. Use-case workshop with the client, run by the agency, to pick the problem worth solving first.
2. Technical scoping by the partner: data sources, tools to connect, security constraints, model running costs.
3. Prototype tested internally by the agency, then demoed to the client under your brand.
4. Gradual rollout, with a limited scope and human oversight.
5. Monthly review: answer quality, unhandled cases, costs, improvements.

Security and data: non-negotiables

• Client data stays with the client: model provider accounts, databases and tools opened in the client's or agency's name.
• No training on client data: use business plans whose terms exclude using customer data to train models. See protecting company data with ChatGPT.
• Least privilege: the agent only sees the documents and tools its task requires.
• Privacy compliance: a data processing agreement with the partner, Standard Contractual Clauses if EU residents are involved, and clear disclosure when users are talking to an AI.
• Logging: conversations kept for a defined period, to monitor quality and fix mistakes.

How to price an AI agent

An AI agent combines three costs: setup (scoping, development, integrations), usage (model costs, which vary with volume) and care (improvements, maintenance). The healthiest model for an agency is a setup fee followed by a monthly subscription that includes care, with usage costs passed through or capped. The white-label partner invoices the agency, which keeps control of its price and margin.

White label vs hiring vs freelancers

Agencies usually weigh three ways to add capacity. Each has its place:

• Hiring in-house: full control and culture fit, but slow to recruit, a fixed cost even in quiet months, and hard to justify for one specialised skill.
• Freelancers: flexible and quick to start, but availability varies, quality depends on the individual, and knowledge leaves when they do.
• A white-label agency partner: a team with processes, cover for holidays and absences, documentation and continuity, billed per project or per month. Less direct control than an employee, which the contract and shared tools compensate for.

Many agencies combine them: a small core team in-house, and a white-label partner for overflow and specialised services.

Why a partner in Morocco

Morocco is 5 to 6 hours ahead of US Eastern time and level with the UK most of the year, so your morning review reaches the team while they are still working, and fixes ship the same day. Teams work in English and French, and can build agents that answer in English, French and Arabic for clients with international audiences.

Our white-label AI agents

Our AI agents service covers website assistants, agents connected to documents and tools, and automations. We offer it white label for agencies: prototypes to demo under your brand, data in the client's name, documented monthly care. Send us a client use case and we will tell you what is feasible, how long it takes and what it costs to run.