Your business runs on
expertise. We make
AI multiply it.
Ferrous Labs helps SME leaders adopt, build and scale AI — with a proven method and zero fluff.
Businesses we've worked with
AI is everywhere.
Clarity isn't.
You know AI matters. But between the hype and the vendor pitches, three things keep getting in the way.
AI is moving fast. Knowing what to prioritise — and what will actually move the needle — is hard without a structured way to assess readiness and build a credible plan.
Running a pilot is not a strategy. Without a repeatable method connecting assessment to adoption to product, most AI efforts stay fragmented and never compound.
Off-the-shelf tools rarely fit the way expert businesses work. Building bespoke AI tools or products requires skills most SMEs don't have in-house and can't afford to hire.
One partner. Three ways to move.
We don't sell AI hype. We run structured engagements — each with a clear deliverable, a measurable outcome, and a method you can see working from week one.
AI Tool Adoption
Automate workflows with off-the-shelf platforms like n8n and Make.com. Deliver value cheaper, faster and at greater scale.
AI Tool Build
Commission bespoke AI software that codifies what your business knows and does best. Internal copilots, decision-support tools, intelligent client portals.
AI Product Build
Turn your hard-won expertise into a scalable, subscription-ready software product. Stop selling time; start selling outcomes.
Where are you on the AI adoption curve?
We define five levels of AI adoption that a business can reach. Our role is to help you identify which level is right for which part of your business — and when to move to the next.
Knowledge on demand
AI searches, summarises and surfaces knowledge from your internal documents, policies and datasets. Typically delivered through RAG systems that connect language models to your existing information.
One task at a time
At least one discrete task within a workflow is performed by an AI-enabled system. A human still owns the process end to end, but repetitive steps are handled by AI.
Humans review, AI executes
The majority of steps in a process are performed by AI-enabled systems working together. Human involvement shifts from doing the work to reviewing outputs and handling exceptions.
Designed around AI
The process was designed from the ground up to be completed by AI agents. Rather than retrofitting AI into existing workflows, the entire operation is architected around what AI does best.
Products that didn't exist before
AI enables entirely new products, services or revenue streams that were not possible before. The business creates value that could not exist without AI at its core.
8 questions. Free personalised report.
The right level depends on your business. We help you find it.
What changes when you work with us.
| Before Ferrous Labs | After Ferrous Labs |
|---|---|
| Scattered AI experiments with no method behind them | Clarity and confidence from day one — you know what you're building, why, and how you'll measure success |
| Generic platforms forced into workflows they weren't designed for | The right intervention for the right problem — adopt, build, or productise |
| Pressure to act on AI but no structured way to decide what to do or when | Compounding value, not one-off projects — every engagement adds capability |
Frequently asked questions.
What is an AI consultancy for SMEs?
An AI consultancy for SMEs is a specialist partner that helps small and medium-sized businesses adopt, build and scale artificial intelligence — without needing enterprise budgets or in-house AI teams. Ferrous Labs works exclusively with SMEs, offering a structured method that covers AI tool adoption, bespoke AI tool development, and AI-powered product creation.
How do I know if my business is ready for AI?
Readiness depends on your data, your processes, and your team's willingness to change how they work. Our free AI Readiness Assessment maps your business to one of five AI adoption levels — from information retrieval through to new value creation — and recommends the right starting point.
What is the difference between AI tool adoption and AI tool build?
AI Tool Adoption uses off-the-shelf platforms like n8n and Make.com to automate existing workflows — it's faster and cheaper, ideal for repetitive tasks that don't require domain-specific logic. AI Tool Build creates bespoke AI software that codifies your business's unique expertise — internal copilots, decision-support tools, or intelligent client portals that generic platforms can't replicate.
How long does a typical AI engagement take?
It depends on the service line. AI Tool Adoption engagements typically run 4–8 weeks. AI Tool Build projects run 3–6 months. AI Product Build — taking an idea from concept to a live, paying SaaS product — typically takes 3–6 months for the initial launch, with ongoing development after that. Every engagement starts with a Hypothesis stage so you see a clear plan before committing further.
What industries does Ferrous Labs work with?
We work with expert-led SMEs across sectors — professional services, legal, marketing, financial services, healthcare, education, and more. The common thread is businesses whose competitive advantage comes from deep domain knowledge, and who want to scale that expertise using AI.
What does an AI product build involve?
AI Product Build turns your domain expertise into a subscription-ready software product. We follow our four-stage Science of AI SaaS™ method: Hypothesis (shape the vision and validate the market opportunity), Experiment (test the concept with real buyers), Formulation (build the minimum loveable product), and Execution (launch, grow, and retain paying customers). The goal is recurring revenue that doesn't depend on headcount.
How much does it cost to work with Ferrous Labs?
Every engagement is scoped individually based on your situation. We don't publish fixed pricing because the work varies significantly between a 6-week automation project and a 6-month product build. What we do offer is a free discovery call where we'll give you a clear picture of scope, timeline and investment before you commit to anything.
What is the Science of AI method?
The Science of AI is Ferrous Labs' structured engagement method. Every project follows four stages: Hypothesis (define the opportunity and set measurable metrics), Experiment (build and test in a real environment), Formulation (refine based on data), and Execution (roll out and measure impact). This method ensures you never invest heavily before validating that the approach works.
Future-proof your business
in the age of AI.
Get in touch to see how we can help. No pitch decks. No sales pressure. Just a conversation about where AI can make the biggest difference for your business.