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.
Four ways AI creates
real value in your business.
Every AI opportunity we've seen falls into one of four categories. The trick isn't knowing they exist — it's knowing which one matters most for your business right now.
Innovate New Products & Services
Turn your expertise into software. AI makes it possible to package your domain knowledge into a product your existing customers would pay for monthly.
Leverage Your Existing Data
Predict something that matters. Turn years of transactions, behaviour, and operational data into forecasts your team can act on.
Automate Value Streams & Workflows
Put agents to work. Autonomous systems that manage multi-step workflows end to end — processing, triaging, chasing, reporting — so your team focuses on what matters.
Derive Value from New Data Sources
Access what you couldn't see before. Regulatory filings, market signals, competitor pricing, environmental data — captured and acted on at scale.
Not sure which outcome fits?
That's exactly what the diagnostic is for. Five minutes. Eight questions. We'll analyse your answers, research your business, and give you 5–10 specific AI opportunities tailored to your situation.
It's free. No sales call. No commitment. Just clarity.
Where are you on the AI adoption curve?
We define six levels of AI adoption — from Level 0 (no AI use) to Level 5 (new value creation). Our role is to help you identify where you are today and which level to aim for next.
Starting from scratch
Your business hasn't started using AI in any structured way. A valid starting point — and it means there's a clear path ahead with quick wins available.
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 find and deliver the right AI intervention — without enterprise budgets or in-house AI teams. Ferrous Labs works exclusively with SMEs, offering a structured method across four service lines: AI Strategy, AI Agent Build, AI Tool Build, and AI Product Build.
How do I know if my business is ready for AI?
Take the free Lean AI Strategy Diagnostic. Answer 8 questions about your business, and we'll use AI to generate 5–10 specific opportunities tailored to your situation — grounded in your actual work, data, and pain points. It takes five minutes and gives you an honest starting point.
What's the difference between AI Agent Build and AI Tool Build?
Agents do work for you — they handle multi-step workflows end to end (processing, triaging, chasing, reporting). Tools help your team do work better — they augment human judgment with AI-powered insights, predictions, and analysis. Both deliver ROI. The diagnostic will help you figure out which matters most for your situation.
What is the Lean AI Strategy Diagnostic?
It's a free, 8-question diagnostic that analyses your business and uses AI to generate 5–10 specific, actionable AI opportunities tailored to your situation. We also research your company website for additional context. You get a personalised report with concrete use cases, expected impact, and clear next steps. It takes five minutes and there's no sales call or commitment.
How long does a typical AI engagement take?
It depends on the service line. AI Strategy workshops deliver a roadmap within a week. AI Agent Build engagements typically run 8–16 weeks. AI Tool Build projects run 12–20 weeks. AI Product Build — taking an idea from concept to a live, paying product — typically takes 3–6 months for the initial launch. 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 SMEs in technically complex domains — non-destructive testing, pharma consultancy, drone surveying, geotechnical engineering, metrology, marine surveying, fire engineering, and similar fields. The common thread is businesses whose competitive advantage comes from deep technical or scientific expertise, 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.