AI services for your clients.
Built under your brand.

Agencies can offer AI services to their clients without hiring an AI team or learning another platform. We design and build custom AI agents, automations, plugins, and SaaS MVPs under your agency’s brand. You sell the service and keep the client relationship. We handle strategy, build, delivery, and support — invisible to your client.

25+
Builds shipped
10+
Active partners
$500K+
Client value

Every build white-labelled · zero attribution to us · NDA standard

Active partnerships
25+
Builds shipped Under partner brands
10+
Active partners Multi-build engagements
$500K+
Client value delivered Last 12 months, estimated
4
Industries served Across English markets
Industries
Managed services Marketing consultancy Legal services Digital agencies
Definition

What is a white‑label
AI build partner?

A white-label AI build partner designs and delivers custom AI products under the agency's branding.

01

The agency owns client communication, pricing, and the long-term relationship.

02

The build partner handles strategy, technical execution, deployment, and ongoing support — never visible to the end client.

03

You don't add an AI team to your headcount. Your clients see your brand on it. You bill them. You keep the relationship.

What we are not
  • × A SaaS platform you have to learn
  • × A consultancy with a slide deck
  • × A coaching or training program
What we are

A build partner that designs, ships, and maintains AI work — entirely under your agency's brand.

How the white-label arrangement works in practice
The 2026 reality

Why agencies are losing
AI work in 2026.

Agencies lose AI deals to one of three things: they don't know what to build, they buy a SaaS platform they can't operationalize, or they ship something the team can't support.

53
Market threat
53 %

of digital agencies now view AI as a threat to their business model.

Source: SparkToro 2026
14
Pipeline reality
14 %

of agencies describe their current pipeline as "very healthy."

Source: SparkToro 2026

If you run an agency, one of these is on your mind this quarter:

Your clients are asking what your AI offer is. You don't have a confident answer.

You've watched competitors announce AI services. You can't tell which ones are real.

You tried a no-code automation. It demoed well. It broke in production.

Your retainers are getting squeezed. You need new line items to sell — not just internal savings.

Your team doesn't have time to learn another platform.

You want the upside of AI services without becoming an AI shop.

How we work

How we help your agency
win AI clients.

Three ways we work with agency partners. Most start with one pillar and add the others as AI revenue grows.

01

Build AI services for your clients

We design and deliver custom AI agents, automations, plugins, and SaaS MVPs under your agency's brand. From AI receptionists for law firms to lead-qualification bots for SaaS clients, the work ships ready to bill. You own the relationship. We're invisible.

AI agents · Automations · Plugins · MVPs
02

Integrate AI inside your own agency

The same capability, turned inward. Lead enrichment for your sales pipeline. Automated reporting for client retainers. Internal tools that recover the margin AI keeps taking out of your retainers. This is AI integration done right — for your agency first.

Pipeline · Reporting · Internal tools
03

Strategy before build

Before any code gets written, we sit with you to figure out what's worth building. Discovery sessions that map your client base, services, and team capacity to AI opportunities ranked by revenue potential.

Most agencies fail at AI because they pick the wrong thing to build. We solve that first.

What we build

What we build
for agencies.

Four categories. Every one white-label by default. Every one with shipping case studies behind it.

01

AI Agents & Workflows

Chatbots, voice agents, audit agents, lead-qualification bots. Autonomous systems that talk to your clients' customers or run their internal workflows.

Chatbots· Voice agents· EU AI Act compliant
Featured build

Public AI Chatbot for a marketing consultancy

250+ podcast episodes indexed · $100K+/year incremental pipeline

02

Automations

System-to-system integrations that eliminate manual data entry, reduce drift, and close compliance gaps. CRM syncs, hosting platform reconciliation, audit-logged operations.

CRM sync· Reporting· GDPR-safe
Featured build

WHMCS ↔ Brevo bidirectional sync

8–12 hours/week recovered · GDPR exposure closed

03

AI-Assisted Deliveries

Websites, plugins, and applications built faster with AI augmentation. From 7-day emergency rebuilds to 22-parameter cost calculator plugins.

Websites· Plugins· Fast turnaround
Featured build

Legal MSO emergency rebuild

7 days · zero downtime · $60K+ in lost SEO & rebuild cost avoided

04

AI Products & MVPs

Productized AI tools your agency can own, license, or resell. SaaS MVPs, internal apps, white-label products that compound revenue across your client base.

SaaS MVPs· Multi-tenant· Resellable
Featured build

22-parameter cost calculator plugin for an MSP

$30K traditional build cost avoided · ongoing lead generation

14 shipping builds across these 4 categories
Process

How does the white‑label
AI build process work?

Every project moves through four stages: Discover, Design, Deliver, Resell. Discovery is the one most agencies skip — it's the one that decides whether the build pays off.

1
Step one · strategy

Discover

We map your client base, services, and team capacity. We identify the AI opportunities most likely to convert in your specific market.

Output
Build roadmap with revenue projections
1 week typical
2
Step two · architecture

Design

We design the AI agent, automation, or product around your existing brand, voice, and client workflow. You approve before code starts.

Output
Approved architecture & brand spec
3–5 days typical
3
Step three · build

Deliver

We build, test, and ship — fully white-labeled. Your brand, your domain, your relationship. From day one, your client sees only you.

Output
Production-ready, deployed under your brand
2–8 weeks typical
4
Step four · ownership

Resell

Once it's live, you own the asset. We hand over documentation, training, and a sales playbook for selling it to your next client.

Output
Owned asset · sales playbook · ongoing support
30 days post-launch included
Case studies

Real builds.
Verifiable outcomes.

14 builds for 10+ active agency partners in the last 4 months. Three of the most useful patterns below.

14 shipped builds — full portfolio available See all 14 case studies
Who we work with

Which agencies
do you build for?

Five service categories across four English-speaking markets. The work translates — the entry point differs by segment.

Geographic coverage

Four English-speaking markets

🇺🇸 United States 🇬🇧 United Kingdom 🇪🇺 European Union 🇦🇺 Australia
Pricing

How much does a
white‑label AI build cost?

Two ways to work. MVP Build for a clear product idea, shipped fast. Embedded AI Partner for ongoing AI capacity across multiple builds.

Project-based

MVP Build

For agencies with a clear product or SaaS idea ready to ship — built with AI-native tools.

From
$3,000 / project
Quoted after scoping call
  • Discovery + scoping call to lock MVP scope
  • Vibe-coded build with the right tool for the job
  • Production deployment under your brand
  • Tech stack docs + full source handoff
  • 14 days post-launch bug-fix support
AI-native stack
Cursor Claude Code Lovable Bolt Emergent + more
Discuss your idea
★ Most agencies start here
Monthly retainer

Embedded AI Partner

For agencies that need ongoing AI capacity across multiple builds, integrations, and operations.

From
$1,499 / month
Multi-month commitment, cancel anytime after
  • Strategy + ongoing build capacity
  • Multiple builds per year, shipped under your brand
  • AI integrated inside your operations stack
  • Monthly strategy reviews + roadmap updates
  • Priority support · dedicated build team
  • Optimization + reliability monitoring

Best path if you want AI to become a recurring revenue line, not a one-off project.

Discuss a partnership
Questions

Frequently
asked.

Eight questions agency owners ask us before signing. If something's not here, ask it on the call.

30-minute call · no pitch deck
Book a 30-min call

How does the white-label arrangement work in practice?

Your client sees only your agency. Our team operates under your brand — your project communications, your documentation, your domain on the deliverables. We never contact your client directly. Most of our active partners introduce us as "our AI team" if they introduce us at all.

Who owns the intellectual property once a build is delivered?

You do. All IP transfers to your agency on final delivery. You can resell the build to multiple clients, modify it, license it, or build a SaaS around it. We retain no ownership rights or revenue share.

Can we resell the same AI build to multiple clients?

Yes — that's specifically what our AI Products & MVPs service line is built for. We design productized builds with multi-tenant architecture, so you can sell the same agent or automation to 5, 10, or 50 clients without rebuilding. This is how agencies turn one build into a recurring revenue line.

What's the typical timeline from kickoff to launch?

It depends on which path you choose. An MVP Build using AI-native tooling (Cursor, Claude Code, Lovable, Bolt) typically ships in 1–3 weeks — sometimes faster for tightly-scoped products. Embedded AI Partner builds run on a continuous cadence, with most individual workflows shipping in 2–4 weeks once scoped. The fastest emergency rebuild we've shipped was 7 days.

How are you different from a SaaS platform like Vendasta or GoHighLevel?

Platforms sell agencies a subscription and require you to learn, configure, sell, and support the tool yourself. We sell you a custom-built asset, delivered ready to bill clients — no configuration, no learning curve, no platform tax. Most agencies need both: a platform for commodity services and a build partner for differentiation. Full comparison →

Are you GDPR and EU AI Act compliant?

Yes. We design compliance into every build from the start. Our case study with a US public-sector marketing consultancy includes a voice AI persona built for EU AI Act compliance — explicit self-identification as AI, scope guardrails, logged conversations, opt-out paths. Compliance is a build phase, not an afterthought we bolt on.

What if we don't know what AI service to build yet?

That's the most common starting point. Most agencies hire us for the Discovery sprint first. The output is a prioritized roadmap of AI opportunities specific to your client base, with revenue projections per opportunity. About 80% of discovery engagements convert into a build with us.

Where are you based, and which markets do you serve?

We work with agencies in the United States, United Kingdom, European Union, and Australia. Our team operates across multiple time zones to keep build velocity high. For EU agencies, we maintain explicit GDPR and EU AI Act compliance posture across all builds.

Talk to us

Ready to add AI services
to your agency menu?

If any of the case studies look like something you'd want to deliver to a client of yours, the next step is a 30-minute call. No pitch deck, no platform demo. Just a working conversation.

What to expect
  • No prep needed — bring your client list
  • Get a price range on the call
  • Leave with a build shortlist or a polite no