White-Label AI and Machine Learning Delivery for Agencies

Your clients are already asking

Agencies are hearing the same requests from clients: can you add AI search to our site, build us a chatbot that knows our products, automate our enquiry handling, predict which customers will leave. Some of those are straightforward. Some need machine learning and production engineering that a design or marketing agency does not have and may not want to hire for.

Saying no risks the client finding another supplier, who may take the rest of the account too. Saying yes without the skills risks something worse. A white-label partner is one way through, but only if the arrangement is set up properly.

The options an agency really has

There is no single right answer. An agency doing one AI project a year may be better off referring it. One doing several a quarter may reach the point where hiring makes sense, perhaps with a partner for the harder machine learning work.

How white-label delivery works in practice

The arrangement we set up with agencies is straightforward. You hold the client relationship, the contract and the invoice. We scope, build and support the AI component under your brand, to a fixed price agreed with you. How visible we are is your choice.

• Mutual NDA in place before any client detail is shared
• We work in your project tools and channels, using your naming
• We can join client calls introduced as part of your team, or stay entirely behind the scenes
• Documentation and handover materials carry your branding or none
• Code is delivered into the repository you or your client control

What we ask in return is access to the client's actual process and data during scoping. Relaying technical questions through three people is where white-label projects lose weeks.

Scope before you promise

The most common way these partnerships fail is an agency agreeing a price and a date with the client before the delivery partner has seen the data or the systems. AI work is especially exposed to this, because accuracy depends on real inputs that nobody has looked at.

So we ask agencies to position the first step as a short discovery, with a fixed price to follow. Clients generally accept this, and it protects your reputation far more than it protects ours. Our approach to scoping is described in how SpiderHunts scopes an AI project, and it works the same way under your name.

The agency owns the promise. The delivery partner's job is to make sure it is a promise that can be kept.

Margin, ownership and support

We quote the agency a fixed price. You set your own margin and your own client price; we do not see or need to see your client contract. The end client should own the code and trained models they pay for, and we recommend that is written into both contracts, because it avoids awkward conversations if relationships change later.

Support after launch needs deciding before launch. AI systems need more attention than a brochure site: model provider changes, evaluation checks, cost monitoring and occasional prompt or model updates. Agree who takes first-line questions, who handles fixes, and what the monthly retainer covers. We usually handle the technical side and leave the client-facing side with the agency.

What we can deliver under your brand

The work agencies most often need sits across our services: AI chatbots trained on a client's content, AI search and document question-answering, enquiry and document automation, and machine learning for things like lead scoring or demand forecasting. Our AI chatbot development is the most common starting point for agencies, and white-label chatbots for agencies covers that specific case in detail.

We will also tell you when a request does not need custom work. If an off-the-shelf tool configured well would serve the client, you can sell that configuration and keep the full margin.

When a white-label arrangement is a bad idea

• If the client explicitly expects to know who writes their code and would object to a subcontractor
• If your agency cannot give the partner direct access to client systems and people during scoping
• If the AI work is so central to the client that they really need a direct relationship with the builder
• If your contract with the client forbids subcontracting

In those cases a transparent partnership, where you introduce us openly as a specialist, usually works better for everyone and still keeps you as the lead.

Frequently asked questions