White-label AI agents

Your client wants an AI agent. You quote it, we build it, they never hear our name.

OUR COST$4,500–14,000
YOUR MARGINTypically 50%+
TIMELINE3–16 weeks
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In short

We build AI agents and chatbots under your agency's brand - support agents, internal copilots, triage and research agents - in your repositories, on fixed scope and fixed price, with a mutual NDA and non-solicit signed before scoping.

Our cost is $4,500 to $14,000 depending on shape, against resale prices that typically leave you above 50%. Every build includes the parts that decide whether an agent survives production: a narrow capability boundary, confidence thresholds, escalation to a human, full action logging and an evaluation harness.

Economics

What sells, and what it costs you

White-label AI agent economics by agent type
AgentYou quoteOur costYour marginTimeline
Support agent on the client's documentation$8,000-12,000$4,500-5,500~50%3-4 weeks
Triage and routing agent$10,000-15,000$4,500-7,000~54%4-5 weeks
Internal copilot across 3-5 systems$18,000-30,000$8,000-14,000~54%6-10 weeks
Agent platform with its own admin$30,000-60,000$14,000-26,000~56%10-16 weeks

Model and infrastructure spend sits on your client's own accounts at cost and is quoted separately - typically $200 to $800 a month for a support agent at real volume.

Included

What is in every agent we build

  1. 01
    A narrow capability boundary, agreed in writing before any code - what the agent may do, what it must never do, what needs a human.
  2. 02
    Confidence thresholds and a clean escalation path, so low-confidence cases reach a person rather than being guessed at.
  3. 03
    An explicit refusal when retrieval finds nothing. An agent that always answers is one that sometimes invents.
  4. 04
    Full action logging, reproducible after the fact, which is what lets you answer a client's question about what happened.
  5. 05
    An evaluation harness scoring tool selection and outcomes, with a regression set of previously-fixed failures.
  6. 06
    A kill switch: a feature flag that stops the agent per account without a deploy.

The engineering detail behind each of these is on our AI agent development page.

At the pitch

What to tell your client, and what not to promise

The fastest way to lose money on an agent project is to sell autonomy the build cannot safely deliver. Three promises worth avoiding at the pitch:

  1. 01
    "It will handle everything."Sell a deflection rate instead - the share of cases it closes without a human. That number is measurable, defensible and improves over time.
  2. 02
    "It will never be wrong."Sell the escalation path. What matters to their operations lead is what happens on the 8% it cannot handle, not the 92% it can.
  3. 03
    "It will act on their systems from day one."Sell a shadow run first. The agent proposes, a human approves, and after two weeks of agreement it gets to act. Clients accept this readily and it removes most of the risk from your delivery.
Proof

Proof you can point at

The self-healing engineering agent - an agent that generates code, tests it in an isolated sandbox, reads the failure and patches the faulty block.

It is published under our name, so you cannot forward it as your own. What agencies usually do is quote the numbers as their partner's track record, or ask us for an anonymised technical summary they can attach to a proposal - we will write one.

87%
first-loop repair rate
<15 min
debugging, down from 4-5 hours
+42%
deployment frequency
Engagement

How the engagement runs

  1. 01
    The processNDA first, scoping call within two working days, fixed quote within three, then delivery in your repositories with a weekly update in your voice. The full process is on how a white-label engagement works.
  2. 02
    Need search instead?If your client's need is search over their documents rather than an agent that acts, see white-label RAG.

Frequently asked questions

Quoting an agent this week?

Send the brief. Fixed number within three working days.