Build 05 — AI SaaS Product Build

Your expertise, now
a product you sell.

A recurring-revenue SaaS product built on your expertise and your data, sold to your existing customers or to new ones. Co-built with us, and funded the way that suits you: pay for the build outright and own it, or reduce the upfront investment through a Revenue or Equity Partnership.

Co-built · Yours to own · Revenue or Equity Partnership optional

01 · You bringToday

A method you deliver by hand.

  • Expertise clients pay for, one engagement at a time
  • Revenue that stops when the project ends
  • Years of proprietary data going unused
02 · We buildCo-built

A product, proven before it scales.

  • A product brief and term sheet from the Hypothesis stage
  • An MVP to first customers, to prove they will pay
  • Payments, multi-tenancy and a model that keeps improving
  • Launched together, and built on after launch
03 · You getIn market

Recurring revenue, in a product you own.

  • A live SaaS product with paying customers
  • Your method delivered in software, every time
  • Owned outright, or with less upfront cost through a Revenue or Equity Partnership
  • A technical partner who stays on after launch

Everything you need to turn what you know into recurring revenue.

01

A product brief and a partnership term sheet.

The Hypothesis stage sets the product vision, business model, ideal customer and how the build is funded, so both sides know what is being built and who owns what.

Hypothesis stage · product brief
product
a self-serve assessment customers run themselves
ideal customer
mid-market operations teams
pricing
£390 a month per team
funding
paid as a build to the prototype; a Revenue or Equity Partnership is available from the production build onwards
02

An MVP that proves people will pay.

The first version ships to first customers fast, to validate that they will pay before anyone spends on production scale.

MVP · the first 60 days
pilot customers
9
paying
6, at the full price
price tested
£390 a month — held
next
the production build
03

Your moat, built in.

Your methodology, your data and your customer relationships go into the product, which is what makes it hard for a generic tool to copy.

the moat
methodology
your scored model, twelve years in use
data
4,000 historic assessments
channel
your existing client base
copyable?
not by a generic tool
04

A production product that holds up to growth.

Payments, multi-tenancy, scaling, polished UX and a model that keeps improving: the product your customers rely on, not a prototype.

production · checklist
payments
Stripe, monthly and annual
tenancy
multi-tenant, one account per customer
sign-in
single sign-on
model
retrained monthly on new assessments
05

A technical partner who stays.

We launch with you and keep building as the product evolves. Most clients fund the build and own the product outright; if you would rather reduce the upfront investment, a Revenue or Equity Partnership is available from the Formulation stage (the production build) onwards, and ties our return to the product working.

the partnership
Delivery Partnership
you fund the build and own 100% of the product
Revenue Partnership
less upfront; we take a share of revenue
Equity Partnership
less upfront; we take a minority stake
build
ongoing after launch, whichever you choose

Stop selling hours.
Start selling the product.

Productising your consultancy means turning a repeatable, high-value part of what your experts do into a software product your customers pay for directly — recurring revenue instead of billed hours. The AI SaaS Product Build is how Ferrous Labs co-builds that product on your own expertise and data, takes it to paying customers, and keeps improving it after launch. If you are still weighing whether the method is ready, our guide on how to turn your consultancy into a software product walks through the five stages and the order that matters, before any of this becomes a build.

Today
  • Revenue tied to billable hours
  • Growth capped by how many people you can hire
  • Your method delivered by hand, client by client
  • Years of proprietary data sitting unused
  • No technical team to build a product with
After launch
  • Recurring revenue alongside your services
  • A product that scales without adding headcount
  • Your method delivered in software, every time
  • Your data turned into a defensible moat
  • A technical partner who stays on after launch
How we build this

The Science of AI SaaS™

The product compounds, not stalls. We launch with you and stay invested. The same method runs through every Ferrous Labs build.

product brief + term sheet
product
self-serve assessment
ideal customer
mid-market ops teams
pricing
£390 / month per team
funding
build · partnership from Formulation
01HypothesisHypothesis

Define the product

Product vision, business model, ideal customer and partner-deal scope. The output is a product brief and a partnership term sheet.

MVP→first customers→
✓ they pay✗ rethink

ship fast · validate before production scale

02ExperimentExperiment

MVP build

Designed to ship to first customers fast, to validate that they will actually pay before we go to production scale.

paymentsStripe
tenancymulti-tenant
modelretrained monthly

the product that holds up to growth

03FormulationFormulation

Production product

Payments, multi-tenancy, scaling, polished UX and an evolving model. The product that holds up to growth.

monthcustomersMRR
19£2.7k
634£9.8k
1262£18.4k

we launch with you · the product compounds

04ExecutionExecution

Launch + ongoing build

We launch with you, and we add features as the product evolves. The product compounds, not stalls.

AI SaaS Product Build

How the build runs

Scoping call first · Co-built · Revenue or Equity Partnership available from the production build

Before we start

Scoping call

A co-founder tests whether your expertise is productisable, and whether a partnership could fit later.

The build

Hypothesis → Experiment → Formulation → Execution

A product brief and term sheet, an MVP to first paying customers, then the production product.

From launch

Launch + ongoing build

We launch with you and keep adding features as the product grows.

What you walk away with

A product in market, customers paying, and a funding model you chose.

Related reading: how expert businesses build recurring revenue, SaaS unit economics for consultancies and proof-of-demand validation.

In marketA live SaaS product with paying customers
RecurringRevenue that is not tied to billable hours
Your callOwn it outright, or cut upfront cost through a Revenue or Equity Partnership
MoatYour method and data built into the product
ValidatedAn MVP that proved customers will pay
OngoingA technical partner who keeps building
Client story

AskPhi turned a behavioural-science thesis into a SaaS product with paying clients in three months.

A Claude Code prototype that could not be shown to customers became a production-grade, multi-tenant product with four core workflows and two active revenue streams.

Read the AskPhi case study
the result · AskPhi
3 months prototype → production
status
live, with paying clients
product
MLP with 4 core workflows
revenue
2 active revenue streams
Frequently asked questions

Productising your expertise — common questions.

How do you turn a consultancy or area of expertise into a SaaS product?

Productising a consultancy means turning a repeatable, high-value part of your expert work into software your customers pay for directly, rather than buying your time. Ferrous Labs builds that product on your own domain knowledge and data using a four-stage method, The Science of AI SaaS™: a short Hypothesis stage to define the product and business model, a fast MVP to prove customers will pay, a production build, then launch and ongoing development. The result is a live, recurring-revenue product — not a prototype.

What is the AI SaaS Product Build service?

The AI SaaS Product Build is a co-built recurring-revenue software product built on your expertise and data, which you own outright or, if you prefer to reduce the upfront investment, fund through a Revenue or Equity Partnership. Ferrous Labs contributes the engineering and product capability; you contribute the domain knowledge and customer access. The output is a working SaaS product your customers pay for monthly — not a prototype, and not a tool for internal use only.

What kind of business is a SaaS product build suited to?

It suits businesses with a repeatable, high-value workflow that their customers also need to solve. Common fits include specialist consultancies that want to productise their methodology, professional services firms with proprietary assessment or scoring frameworks, and domain experts whose knowledge is currently locked inside a small number of senior people and cannot scale without software.

Does Ferrous Labs take equity in the SaaS product?

Not always. Ferrous Labs co-builds the product, and you choose how to fund it: pay for the build in full and own the product outright (a Delivery Partnership), or reduce the upfront investment through a Revenue Partnership or an Equity Partnership, where Ferrous Labs takes a share of revenue or a minority stake instead. Both are available from the Formulation stage (the production build) onwards; the Hypothesis and Experiment stages are paid as a build. The specific arrangement — revenue share or equity percentage, and buyout options — is agreed before the production build and documented in a joint venture agreement. Whichever structure you choose, both parties are incentivised to make the product succeed.

Can I build a SaaS product without a technical co-founder?

Yes — a non-technical founder can build a SaaS product by partnering with a specialist AI engineering studio rather than recruiting a full-time CTO. Traditionally, SaaS required either an internal engineering team or a technical co-founder who took significant equity and led the build from the inside. Ferrous Labs provides a structured alternative under The Science of AI SaaS™: acting as your technical co-founding partner — contributing AI engineering, ML development, product design and post-launch iteration across four defined stages (product definition, MVP, production build, then ongoing development). You supply domain expertise, existing customer relationships and market direction; Ferrous Labs supplies the technical layer and stays on through launch and growth, funded as a straightforward build or, where you want to reduce the upfront investment, through a Revenue or Equity Partnership. No in-house engineering hire required. According to Zuora's Subscription Economy Index 2024, subscription businesses have grown 3.4× faster than the S&P 500 over the past 12 years — the compounding upside available to domain experts who get to market without first building an engineering team.

Further reading

Go deeper on this.

Build a SaaS Product Without a Technical Co-Founder

Read the guide

How to Turn Your Consultancy Into a Software Product

Read the guide

Bring us what you know. We’ll build the product with you.