AI products & MVPs for agencies.

AI Products & MVPs are productized AI tools your agency owns, licenses, or resells across multiple clients — the category that shifts a build from a one-off billing event to a recurring revenue line. We design four types of productized build: client-resold tools, multi-tenant SaaS MVPs, agency-internal applications, and white-label products. Every build ships with the IP transferred to your agency.

Product types
04
Project-based from
$3,000
IP transferred
100%
Or monthly engagement
$1,500/mo
The revenue model shift

The category that changes your agency’s revenue model.

Three of our service categories — agents, automations, and AI-assisted deliveries — produce one-off builds for one-off clients. They’re billable, they compress timelines, they justify their cost quickly. But the work pattern is the same one most agencies already run: scope a project, ship a project, bill the project, find the next one.

This category is different. A productized AI tool built once for one client can be redeployed for ten clients with the same problem. A multi-tenant SaaS MVP can serve 50 subscribers from a single codebase. An internal application your agency uses to deliver client work compounds your team’s leverage every quarter you use it.

The shift is from selling time to selling assets. From “we bill our hours” to “we own a thing that bills on our behalf.” Most agencies who reach $2–5M in annual revenue hit a ceiling because they’ve maxed out the time-for-money model. This is the category that unlocks the next stage.

Not every agency should pursue it. The strategy section below explains who should.

01 / Product type

Productized client tools.

A custom tool built for one client that’s architected from day one to be redeployed for other clients with the same pattern. Each deployment runs as its own instance with that client’s data and configuration, but the core build is identical.

Common examplesIndustry-specific cost calculators (one MSP build redeployed across 5 MSPs). Compliance audit tools (one legal services build redeployed across the firm’s portfolio of similar clients). Lead-qualification bots with industry-tuned scoring (one build, many vertical configurations).
Build patternSingle codebase, environment-specific configuration, per-client deployment infrastructure. Most builds in this category use containerization or per-client static site generation so each deployment is independent.
Why this is the easiest entry to the categoryYou don’t need a SaaS billing layer, a multi-tenant database, or a customer success motion. You just need a build pattern that’s portable. The economics shift from “billed $20K for a build” to “billed $20K for the first build and $3–5K each for redeployment to similar clients.”

02 / Product type

Multi-tenant SaaS MVPs.

True SaaS — one codebase, one database (with tenant isolation), one billing layer, many subscribers. The agency owns the product, charges subscription pricing, supports a wider user base than their delivered-client base.

Common examplesNiche productivity tools (an AI scheduling assistant for a specific industry). Workflow automation in a category your clients all need but no single vendor serves well (a content audit tool, a brand consistency checker, a meeting prep agent). Productized versions of patterns your agency keeps building one-off.
Build patternMulti-tenant architecture from build 1 — proper tenant isolation in the data layer, per-tenant configuration, billing integration (Stripe, Paddle), authentication and access control, basic analytics for tenant usage. The MVP scope is intentionally narrow. We ship a small, working product, not a feature-complete platform.
Why this is the most strategic category for an agencyDone right, a SaaS MVP becomes a real product line — recurring revenue, predictable margin, asset value. Done wrong, it becomes an unmaintained side project that distracts from the core agency business. The difference is almost entirely about narrow scope at MVP and disciplined product development from there.

03 / Product type

Agency-internal applications.

Custom applications your agency uses to deliver client work — not sold to clients, owned and used by your team. Internal portals, custom dashboards, project management tools, operations interfaces.

Common examplesClient portal that surfaces project status, deliverables, and analytics for each client. Agency-internal CMS for managing case study content across many client engagements. Custom dashboards aggregating data across client systems for monthly reporting.
Build patternDepends on the use case. Most internal apps don’t need multi-tenant — they have one tenant (your agency). The build optimises for your team’s specific workflow, not for general-purpose extensibility. Faster to build than a SaaS MVP because you don’t need the SaaS plumbing.
Why this category compounds your team’s leverageA well-built internal tool can recover 5–15 hours per week across your team. Over a year, that’s $20–50K of recovered staff cost at modest blended rates — for a one-time build cost typically in the $5–15K range. The ROI is faster and more reliable than client-facing SaaS, with no marketing, sales, or support overhead.

04 / Product type

White-label products.

Products built for your agency to rebrand and resell under your own product brand — without ever revealing that we built it. The agency owns the customer relationship, the pricing, the support, the upsell. We build the underlying product and stay invisible.

Common examplesA productized AI agent (chatbot, voice agent, audit agent) your agency resells as a SaaS product across your client base. A workflow automation suite your agency sells as a recurring service line. A niche AI tool you license to other agencies in adjacent verticals.
Build patternIdentical to the SaaS MVP build pattern, with the white-label wrapping built in from build 1 — your brand throughout, your domain, your support email, your billing entity. We provide the underlying engineering. Your agency provides the brand, the customer relationship, and the go-to-market.
Why most agencies should not start hereWhite-label resale is the highest-leverage product model, but it has the steepest commercial requirements. You need an actual go-to-market motion. Most agencies don’t have one ready and discover that after the build is shipped. We’d recommend starting with categories 1, 2, or 3 unless you’ve already validated the GTM.
The architecture decision

The multi-tenant architecture decision.

The single most important architecture decision in this category: build single-tenant or multi-tenant from day 1?

Architecture When to choose it Pros Cons
Single-tenant
(per-client deployment)
<10 expected deployments, distinct per-client customisation, no SaaS billing Simpler to build, faster to ship, easier to customise per client Operations cost scales linearly, can’t bill subscription
Multi-tenant
(shared infrastructure)
10+ expected subscribers, common feature set, SaaS billing model Operations cost scales sub-linearly, billing automation, real product economics Higher upfront build cost, harder to deeply customise per tenant

Most builds in this category are single-tenant first, multi-tenant later. The agency validates the pattern works for one client, deploys it for two or three more, and then makes the multi-tenant investment when there’s evidence the demand is real. The mistake we see most often is over-engineering multi-tenant from day 1 for a product that ends up with three deployments forever.

The opposite mistake — building single-tenant and discovering you need multi-tenant for the next 20 deployments — is also costly. The re-architecture is rarely a clean port. We discuss the architecture decision explicitly in Discovery before any build starts.

The unit economics

The product economics shift.

The point of this category is shifting the unit economics of an agency build. Three patterns:

Pattern A

Build once, redeploy many

A productized tool built for $15K can be redeployed for $3–5K per client. After 5 deployments, the per-deployment margin is 4× a custom build. After 10, the original $15K is irrelevant — every new deployment is nearly pure margin.

Pattern B

Build once, subscribe many

A SaaS MVP built for $25–50K can carry 100+ subscribers at $50–500/month. The unit economics flip from “billed once for the build” to “billed monthly per subscriber, forever.” Even a 1% conversion rate against an agency’s existing client base can produce $30K–$300K of ARR within 18 months.

Pattern C

Build once, license many

An internal tool your agency uses to deliver client work can be licensed to other agencies as a productized service. Common in highly-specialised vertical agencies — the agency builds the tool to scale their own delivery, then realises competitor agencies in the same vertical would pay for it. License revenue compounds with zero customer-acquisition cost for years.

The honest take: most agencies don’t realize these patterns are available to them until they’ve shipped 5–10 client builds and started noticing repetition. Discovery surfaces the repetition. Productization captures it.

Production builds

Featured builds in this category.

Build 01 · Productized client tool

22-parameter cost calculator plugin for an MSP

WordPress plugin built for one MSP with 22 parameters, admin UI for rate management, and GHL CRM integration. Architected to be redeployable across other MSP clients. $30K traditional build cost avoided. The original deployment generates ongoing leads. The build pattern is now reusable across the agency’s other MSP engagements.

Build 02 · Productized client tool

13-slide conditional intake plugin for an MSP

Custom WordPress plugin with 13 conditional slides, 7 industry-specific branches, 70+ structured fields, GHL contact upsert. Built for one MSP, with the architecture ready to redeploy for other MSPs with similar intake complexity. The same agency can now offer “pre-call discovery automation” as a productized service line.

See all case studies

More SaaS-MVP and white-label product case studies will be added as those builds reach production milestones. The current portfolio over-indexes on productized client tools because that’s where most agencies start in this category.

Two white-label models

How the white-label arrangement works.

Two distinct white-label models in this category, depending on which type of build:

For productized client tools and agency-internal apps: The deliverable is yours. Your branding, your client communications, your IP. We are not in any system your client interacts with. Same model as our other service categories.

For SaaS MVPs and white-label resold products: The product is yours under your product brand. Your customers buy from you, pay you, are supported by you. The product itself never references us. We are the underlying engineering, your agency is the product company. We can stay invisible permanently, or be openly credited as a technical partner if your agency prefers — your choice on both.

If your client (or your end customer in a SaaS case) asks who built it, the answer is your agency.

Two paths

Pricing for AI Products & MVPs.

Two pricing paths in this category, because the build patterns are different from the rest of our service catalog.

Path A · Project-based

MVP Build, from

$3,000 starting / quoted after scoping

For agencies with a clear product or SaaS idea ready to ship — built with AI-native tools (Cursor, Claude Code, Lovable, Bolt, Emergent). Includes:

  • Discovery and scoping call to lock MVP scope
  • Vibe-coded build with the right tool for the job
  • Production deployment under your brand
  • Tech stack docs and full source handoff
  • 14 days post-launch bug-fix support

Larger MVPs (multi-tenant SaaS, complex white-label products) scope at $5K–$25K depending on what’s required.

See full project-based pricing
Path B · Monthly engagement

Ongoing partnership

$1,500 / month

For agencies building productized assets as part of a longer partnership — usually because the product is being built alongside other AI work, or because the agency wants ongoing capacity for product iteration after MVP launch. Includes:

  • Discovery (month one)
  • Ongoing build capacity
  • Deployment under your brand
  • Full source handoff
  • Monthly strategy reviews

Most product builds within the monthly engagement: 4–10 weeks from scope-locked to MVP launch, depending on complexity.

See full monthly pricing
Which path is right for you?
You probably want Path A (project-based) You probably want Path B (monthly engagement)
You have a single defined product ideaYou’re building productized assets alongside other AI work
You don’t want a longer-term partnershipYou want ongoing capacity for iteration after MVP launch
You need the MVP shipped and handed off cleanlyYou want the same partner for multiple product builds over a year
You have an in-house team to take over post-launchYou don’t have in-house product-engineering capacity
Honest disqualifiers

When this category is not the right answer.

Three situations where we’d recommend against pursuing a productized build:

01 · Operations mismatch

Your agency isn’t ready for product-mode operations.

Productized tools, even simple ones, need support, maintenance, and iteration. They don’t have a project end date. If your agency is built entirely around project-based service delivery, taking on a product line creates operational drag that can hurt the core business. We’d recommend stabilising the core service business first.

02 · No GTM plan

You’re pursuing a SaaS MVP without a go-to-market plan.

SaaS MVPs that ship without a marketing motion, a sales channel, or even a clear way to find the first 10 customers become unmaintained side projects. The build is the easy part; the go-to-market is the hard part. Without a credible plan for customer acquisition, we’d recommend not building the product yet. Build the GTM first.

03 · Misclassified

The “product” is actually just a feature.

Not every reusable build is a product. Some are features inside an existing service line. A reusable lead-qualification pattern across MSP clients is a productized service, but it’s not a SaaS — it doesn’t need its own brand, billing, or marketing site. Treating it as a SaaS adds cost without adding value. We’d help you figure out which it is before committing to product-mode investment.

FAQ · About AI products & MVPs

Questions worth answering.

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What’s the difference between an MVP and a full SaaS product?

Scope. An MVP is the smallest version of the product that solves the core problem for early users — usually 4–10 weeks of build for $3K–$25K. A full SaaS product has the feature set, polish, and infrastructure to compete with established players — 6–18 months of build for $100K–$1M. We build MVPs. If the MVP succeeds and you want to scale to a full product, that’s a different conversation about funding, team, and roadmap.

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Do we own the source code for productized builds?

Yes. Full ownership, transferred at handoff. Source code in a Git repository your agency owns, deployment instructions, tech stack documentation, environment variables, the entire build. You can take it to any developer or AI agency to extend, modify, or rebuild. No proprietary tools or lock-in.

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Can we sell the same product to clients in our portfolio AND to outside customers?

Yes — that’s often the path. The first wave of customers is your existing client base. The second wave is similar agencies or businesses you find through outbound, content, or paid channels. The pattern works because your existing clients give you validation, case studies, and early revenue that funds the outbound motion.

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What if our SaaS MVP doesn’t get traction?

Most don’t. That’s the honest baseline. Industry data on first-product MVPs varies, but a useful rule: about 1 in 5 SaaS MVPs reaches $10K MRR within 18 months. The other 4 either pivot, get shut down, or stay as side projects generating <$2K/month. We don’t promise traction. We promise a shipped, working MVP that can validate (or invalidate) the product hypothesis quickly. The validation is the deliverable. Traction is downstream.

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Can you build the marketing site for the SaaS product, too?

Yes — that’s usually included in the MVP scope. Most SaaS MVPs we build include a basic marketing site (homepage, features, pricing, signup) on the same engagement. For a more substantial brand-led marketing site (multi-page, content-heavy, blog setup), we’d build that as an AI-assisted delivery alongside the product MVP.

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Do you handle ongoing support and iteration after MVP launch?

Path A (project-based): 14 days of post-launch bug-fix support included. After that, hourly maintenance or transition to the monthly engagement. Path B (monthly engagement): ongoing iteration is the default — most agencies on the monthly retainer continue iterating their productized builds for 6–12 months after MVP launch. We can also hand off cleanly to your in-house team at any point.

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Can we use AI-native tools (Cursor, Claude Code, Bolt) for product builds even if we don’t have engineers?

Yes — that’s specifically what the $3,000 project-based MVP Build is for. The build is vibe-coded with whatever AI tool fits the job (Cursor, Claude Code, Lovable, Bolt, Emergent). We handle the engineering judgement, the architecture decisions, the production deployment, and the code review. You don’t need an in-house team to evaluate the work. The source code handover is documented well enough that any senior developer (yours or someone else’s) can pick it up later.

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How do we know if we should productize a build vs keep it as a custom service?

Discovery answers this. If we see a pattern in your client base — say, three or more clients with the same operational problem — productization usually makes sense. If the pattern only fits one client, it’s a custom service. The threshold isn’t strict, but the broad rule: if the per-client redeployment cost is more than 30% of the original build cost, it’s not productized enough yet; tighten the architecture before scaling.

Next step · 30 minutes

Thinking about productizing
one of your service lines?

A 30-minute scoping call to look at the pattern, evaluate the productization opportunity, and decide which build path (project-based MVP or monthly engagement) fits.

Book a 30-minute scoping call
Pattern worth?

A clear sense of whether the pattern is product-worthy.

Scope & timeline

A scope estimate and timeline for the MVP.

Readiness check

An honest read on whether your agency is ready for product-mode.