White-label AI services
your brand on every build.

For bench partners, fast: the NDA is signed and the rate card is on file before there's a project, so when your client says yes, a proposal lands within 48 hours and a working pilot (one chatbot, one workflow or one knowledge system, grounded in the client's own data) ships inside 14 days. We scope a pilot rather than a platform: a defined queue or corpus first, evaluated before launch, extended only after it earns that.

Two layers, one of which happens once. Partner onboarding: intro call, your NDA signed, rate card and capability pack on file, a named contact assigned. Per-client onboarding when a brief lands: you introduce the account in your own words, we audit the documentation, queue or systems the AI build needs to touch, and agree the scope (sources in bounds, escalation rules, evaluation criteria) before anything is built, presented in your templates for your client's approval.

Any language model can hallucinate: anyone promising zero is selling something, and that's not a claim we'll ever put behind your logo. What we engineer instead is errors that are rare, visible and contained: chatbots and knowledge systems answer only from the client's own documentation and show the source under each answer; when retrieval comes back thin or confidence is low, the system says so and hands over to a human rather than improvising. Every build runs against an evaluation suite before launch, and every conversation or automated action is logged afterward so a mistake can be found and corrected rather than discovered months later.

The client's, always. Documentation, helpdesk, CRM and any system an assistant or automation reads from or writes to belongs to the client from day one, accessed under a scoped, reversible service account your agency and their team control. Work runs under NDA as standard, and if either of us ever exits the picture, nothing is held hostage: the build keeps running and a proper handover documents exactly how it works.

Yes, and it often produces the best result. Some partners keep the client relationship and documentation ownership in-house and buy the build: their content, our retrieval pipeline and guardrails. Others hand us the whole discipline, doc audit included. The split is agreed per client in the scope, and every build is structured so the client's own team can update the documentation it grounds in without filing a change request.

That's your call, not ours. Some partners describe us as their AI team; others say nothing about who built the white-label AI chatbot or automation. Either works, because our name never turns up in a prompt, a log or a delivered file. What's contractual from our side is fixed: we never contact your client, never accept work from them directly, and the disclosure duty runs the other way. If your client ever approaches us, we tell you and decline.

No, and we'd rather tell you that now than in a post-mortem you have to explain. A grounded chatbot or automation clears the repetitive layer of a queue; it hands back to a human everything that needs judgement, with context attached. The framing we'll use in front of your client is redeployment of attention, not headcount replacement. We won't put an invented percentage on it, because no client's queue is an average.

The wholesale AI rate card is agreed once, in writing, and every engagement is quoted against it. A chatbot, automation or knowledge-system quote never means renegotiating mid-pitch. You set the retail price and keep the margin; we never see your client invoices, and nothing in a build reveals what you pay us. Proposals are itemised by stage (pilot, evaluation, integration, ongoing monitoring), so you can see exactly what the evaluation work costs before you quote it, with no compute, model or platform-fee markup hiding in the number. See the partner rates on agencies.pixelcrayons.com.