AI sales and support agents your agency can resell
under your own name, built on your own playbooks
Clients keep asking agencies for an AI agent, and building one in-house means a dev team an agency does not have and does not want to hire. We build the agent on your playbooks, hand it to you white-label, and stay out of the client relationship entirely.
The problem in marketing agencies (white-label AI and dev)
Marketing agencies are getting asked for AI agents by clients who have seen a competitor’s chatbot or read about automation and want something similar, often before the agency itself has a clear point of view on what to build or how. Hiring a full engineering team to build and maintain AI agents is a large commitment for an agency whose core business is strategy and media buying, and building one badly, a chatbot that hallucinates prices or annoys customers, costs the agency the client relationship it is trying to protect. Industry commentary on agency services consistently points to AI add-ons as one of the fastest-growing categories of client request, with estimates suggesting 30 to 50 percent of mid-size agencies now field this kind of ask regularly, which means the problem is not whether to have an answer but how fast to get a credible one.
The second problem is subcontracting risk. An agency that brings in an outside technical team to fulfill a client request is exposed if that subcontractor talks to the client directly, under-delivers, or leaves the agency holding a support burden it never agreed to. Agencies that have been burned by a freelancer disappearing mid-project, or a dev shop that quietly pitched the client directly, are understandably cautious about handing over any part of a client relationship to a third party.
The third problem is speed: a client asking for an AI agent usually wants to see something within weeks, not after a quarter of internal planning, and an agency without an existing technical fulfillment partner loses the window to competitors who already have one lined up.
There is also a quieter risk in pricing this kind of work without a technical partner: an agency that quotes a client based on what a simple chatbot tool costs, then discovers mid-project that the client actually needs CRM integration, multi-channel support and guardrails against the agent inventing prices, ends up either eating the cost overrun or renegotiating with a client who already feels misled. A fulfillment partner who has built enough of these to price accurately upfront removes that risk from the agency’s side of the relationship before a number is ever quoted.
What we build for marketing agencies
An agent built on your existing playbooks. We work from the scripts, objections, FAQ and brand voice your agency already has for the client, the same inputs we would collect directly from a client we served ourselves, so the agent sounds like your work, not ours.
Fully white-label from day one. No branding, documentation or interface element mentions Senator Media. Your client sees your agency’s name on the deliverable and, if you choose, never learns a subcontractor was involved.
A closed tool list and escalation rules your account team approves. The same guardrails we put on every agent we build: a defined set of actions it can take, and anything risky routed to a human your agency designates, so you control exactly what the agent is allowed to do before it ever talks to the client’s customers.
Documentation written for you to present and support. Not internal engineering notes, but material your account team can hand to the client or use to answer questions, written assuming you are the one speaking, not us.
Deployment on infrastructure you choose. Your own hosting, your client’s hosting, or ours if you prefer not to manage servers, with access handed to your agency so you are never locked out of your own deliverable.
A clear line on who the client calls. We build and hand over; your agency owns support, billing and the relationship going forward, with a separate conversation if you want us available for deeper technical escalations during a defined window.
A reusable framework for repeat clients. Once the first agent is built for your agency, adapting the same architecture for a second or third client with a different playbook is faster and cheaper than the first build, which we reflect directly in repeat-client pricing.
How it works in 2 to 4 weeks
- Week 1: playbook and scope intake. We collect your existing scripts, brand voice and the specific job the agent needs to do for this client, and agree on what stays strictly confidential between your agency and us.
- Week 1-2: build. The agent is built against your playbook, with the same tool-list and escalation discipline we apply to every project, white-labeled from the first internal demo.
- Week 2-3: internal review with your team. Your account team reviews the agent’s behavior before your client sees anything, with changes folded in before any client-facing demo.
- Week 3: client-ready handover. Documentation, access and a presentation-ready demo delivered to your agency to show the client under your own name.
- Week 3-4: launch and tuning. The agent goes live under your management, with two weeks of technical support to your team included in the package.
What it costs
| Package | Price | Best for |
|---|---|---|
| Assistant | from $1,500 | One client, one channel, FAQ and support agent built from an existing playbook |
| Sales agent | from $4,000 | A client needing multi-channel sales logic, CRM integration and a fuller playbook build |
| Agent team | from $10,000 | Several agents for a larger client account, or a reusable framework your agency can adapt across multiple clients |
Prices follow the AI agent service packages, billed to your agency; what you charge your client is entirely yours to set.
Typical results
Agencies that add a credible AI agent offering typically report it becoming a meaningful share of new client conversations within a couple of quarters, in line with the broader industry trend of AI requests growing as a proportion of agency briefs. A white-label fulfillment partner typically shortens the time between a client asking for an AI agent and the agency having something to demo from months of internal planning down to the two-to-four-week build window, which matters most when a competing agency is pitching the same client. Agencies that keep the technical build fully separated from the client relationship commonly report fewer relationship risks than agencies that have previously used subcontractors who engaged clients directly. Our own numbers are in the case studies linked below.
Why Senator Media
- We built the sales playbook discipline behind this for a B2B certification body’s outreach agent and the multi-brand content pipeline discipline behind it in a content agent serving two brands.
- White-label is not an add-on option, it is the default: our name does not appear anywhere your client can see it.
- Fixed price agreed with your agency before work starts, with a working demo every week so your account team is never surprised by the final reveal.
- We stay out of your client relationship entirely unless you explicitly ask us to be involved.
An AI agent handles the client’s conversation; many agencies pair this with a white-label site or app build for the same client, or look at the broader AI agents and automation service for the full range of what can be built this way.
Tell us about the client request you are fielding and the playbooks you already have, and we will send back a fixed price and a two-to-four-week plan: get in touch.
FAQ
How much does a white-label AI agent cost, and how does pricing work for resale?
The build starts from $1,500 for a single-client agent, billed to your agency at our standard rate. You set your own resale price to your client; we never contact your client directly or see what you charge them.
Will our client know Senator Media built it?
No. Everything, from the branding in the chat interface to the documentation we hand over, is white-label. Our name does not appear in anything your client sees, and we do not take credit for the work publicly without your agreement.
Who owns the client relationship and support after launch?
You do, fully. We build and hand over, with documentation written for your team to present and support. If you want us available for deeper technical questions during a support window, that is a separate arrangement we agree upfront.
Can you build to our existing playbooks and brand voice, or do we need to write new ones?
We work from whatever playbooks, scripts and brand guidelines you already use with clients. If a client has none, we help your team build one, using the same process we use on our own client work.
What if we need to resell this to several clients?
We price per build, and a shared agent framework can be adapted faster for a second or third client once the first is live, which we reflect in the pricing for repeat builds.
Can this run alongside work we are already doing with other vendors?
Yes. We stay in our lane: the agent build and its technical architecture. We do not need visibility into your other vendor relationships or your broader client strategy to do this well.