We’re the build partner for marketing agencies that want to offer AI services without buying a platform or hiring an AI team. Every build ships under your agency’s brand. Most marketing-agency partners start with a chatbot or a lead-qualification automation — the highest-margin entry points for this segment. $1,500/month, including Discovery and ongoing build capacity.
A common pattern this year: a marketing agency owner gets the same question from three clients in a quarter — “what’s your AI offer?” — and doesn’t have a confident answer.
The pressure is real and asymmetric. 53% of digital agencies now view AI as a threat to their business model, while only 14% describe their pipeline as “very healthy.” The gap shows up everywhere: in flat retainers, in lost RFPs to competitors making AI claims (real or otherwise), in clients quietly building internal capabilities your agency used to provide.
Resell platform features as your AI offer (Vendasta, GoHighLevel). Immediate line items but your differentiation collapses into your competitors’ differentiation — every agency in the platform sells the same thing.
$180–250K loaded. Competitive market. Won’t produce client revenue for 6–9 months. Most agencies under $5M revenue can’t make this math work.
Wins a few RFPs in the short term. Catches up with the agency the first time a client asks for an implementation timeline you can’t meet.
Marketing agencies have three or four high-margin entry points into AI services. Every one of these is something we’ve shipped under a partner agency’s brand:
Your client has a content library — podcast episodes, blog archive, white papers, courseware, customer support documentation. A custom chatbot trained on the corpus surfaces that content to website visitors who’d never have found it otherwise. Citation links on every answer. Lead capture activates when intent signals fire.
The live build for a marketing consultancy: 250+ podcast episodes indexed with recency filtering, generating an estimated $100K+/year in incremental qualified pipeline.
The same pattern works for any agency client with serious content depth. See the chatbot case study and AI Agents & Workflows for full detail.
An AI agent that triages every inbound lead — reads the website, evaluates fit against the client’s ICP, scores priority, attaches pre-research, and routes high-fit leads to the sales team. Replaces 5–10 minutes of manual research per lead.
At even modest volume across a client’s pipeline, this is several hours per week of recovered sales-team capacity per client — billable as a service line, not just internal savings.
Most marketing agencies sell this as a $500–$1,500/month per-client service, with the bulk of the work front-loaded into setup. See AI Agents & Workflows and Automations for the full pattern.
A bidirectional sync between the client’s billing platform, CRM, and marketing automation closes data drift that’s silently breaking campaign segmentation.
Common version: WHMCS or Stripe to HubSpot, with full historical backfill so old customers become campaign-targetable. Recovered hours: 8–12 per week per client. Recovered campaign ROI: usually significant once product-segmented sends become possible.
See Automations for the full architecture.
Once you’ve shipped two or three of the above for clients, you’ll notice the pattern: most of your clients have the same operational problem. That’s where productization starts.
A lead-qualification bot built for one client can be redeployed for ten. A content audit agent built for one consultancy can serve every consultancy in your book.
The economics shift from “billed once per build” to “billed many times per build.” See AI Products & MVPs.
Three live builds we’ve shipped under marketing-agency partner brands:
Custom chatbot indexed against 250+ podcast episodes with recency filtering. Citation links surfaced on every answer. Lead capture activated by intent signals. Shipped under the agency’s brand.
Marketing agency partner sold this as a productized service line to their legal-services clients. Voice agent self-identifies as AI, includes scope guardrails, logs all conversations, and offers opt-out to a human at any point. Three weeks from kickoff to production.
Marketing agency partner running a hosting service line for SMB clients. Recovered 8–12 hours per week of manual reconciliation. Closed a GDPR exposure on the way to becoming a problem. Unlocked product-segmented email campaigns that previously required an export-and-paste workflow.
Your client sees only your agency. We are not in your project communications, your client meetings, your delivery emails, or any system your client logs into. Your agency owns the relationship, the pricing, and the long-term revenue.
Most of our marketing-agency partners introduce us internally as “our AI team” if they introduce us at all. The work shows up under your project manager, runs through your QA, and ships under your brand. Documentation is yours. Runbooks are yours. Support email is yours. If your client asks who built it, the answer is your agency.
We’ve signed NDAs covering 100% of our active engagements. Confidentiality is the default posture, not an upgrade.
For agencies who know they need an AI service line but aren’t sure which client problem to solve first. Month one is Discovery + a roadmap. Month two onwards executes the highest-priority build from the roadmap. See strategy for what Discovery covers.
For agencies who’ve already identified a clear opportunity — usually a chatbot for a specific client, or a lead-qualification automation for the agency’s sales motion. We scope on the partner call and start the build within 1–2 weeks of contracting.
For agencies that want to validate the partnership on internal builds (lead enrichment for the agency’s own pipeline, reporting automation for client retainers) before rolling AI services out to clients. Lower-risk entry, slower revenue contribution.
Standard engagement: $1,500/month, including Discovery (month one), build capacity, deployment under your brand, source code handoff, and monthly strategy reviews.
For marketing agencies with a clear single-product MVP idea (e.g., a productized chatbot offering, a SaaS tool for the agency’s vertical), the project-based MVP Build path starts at $3,000 — quoted after scoping. Most marketing-agency partners on the monthly engagement continue iterating their productized builds for 6–12 months after MVP launch.
A typical month-one for a marketing-agency partner: Discovery in weeks 1–2, build target locked in week 3, first build in production by end of month two. About 1 in 4 engagements ships a working agent or automation in month one when the scope is clear early.
Three situations where we’d recommend against the partnership:
If your agency needs to spin up AI services across 50 clients next quarter and you don’t have the delivery capacity to configure custom builds for each, you want Vendasta or GoHighLevel — a platform-led model. We sell custom engineering, not configurable features. The two models solve different problems. Most agencies need both eventually; if you only need one and platform is it, we’d point you to a platform.
AI service lines work when there’s an existing client base to extend. If your agency is still building its initial offer, the AI strategy work is downstream of your core positioning — which we’re not the right partner for. We’d recommend solving positioning and core service offer first, then revisiting AI in 6–12 months.
$1,500/month is intentionally below most custom AI development pricing because we’re optimising for sustained partnerships, not maximum margin per engagement. If price is your primary filter, a platform subscription will win on absolute cost. We win on differentiation, IP ownership, and the ability to bill clients premium for custom work.
AI integration for a digital agency is the embedding of AI workflows, automations, and agents inside the agency’s existing marketing, sales, and operations stack. Done well, it eliminates repetitive execution, multiplies output, and recovers margin lost to manual coordination — without replacing the tools the team already uses.
Most agencies see their first production AI workflow live within 2 to 4 weeks. The 1-week audit identifies the highest-ROI opportunity; the build and integration typically takes another 1 to 3 weeks depending on workflow scope and existing tool stack. More sophisticated workflows layer in progressively over the following months.
No. We handle every technical layer — integration, testing, training, and ongoing optimization. Your team only needs to understand its current workflows. The AI integrations are designed to feel native inside the tools your staff already uses, with no new platform to learn.
We are tech-stack agnostic. We integrate AI into HubSpot, ClickUp, Monday, Google Workspace, Slack, Notion, Airtable, custom CRMs, and bespoke internal tools. We do not require a rip-and-replace migration, and we do not push our own SaaS platform.
A 30-minute scoping call to look at your client base, talk through where AI services fit, and confirm whether the timing is right. No pitch deck.
A sense of which 1–2 AI services likely fit your agency first.
Rough scope and timeline for the first build.
An honest read on whether the timing is right this quarter or next.