The Margin LabsThe Margin Labs

Portfolio & Capabilities

Applied AI and systems for small and medium businesses.

We consult, build, support, maintain and educate, starting with the problem and putting AI to work only where it pays. The case studies below are anonymised and drawn from our professional track record.

Business cases

Proof, drawn from our work.

Six anonymised case studies showing the range The Margin Labs covers, from AI operating systems to ERP transformation.

The AI Operating System

AI

Challenge

An 8-figure DTC brand was drowning in fragmented information across messaging, email, calendars and a dozen spreadsheets. Decisions waited on someone stitching the picture together by hand.

What was built

A unified AI operating system: a knowledge layer wired to 15-plus tools, 40-plus custom skills, and scheduled automations that read across the business and write daily and weekly executive briefings.

Outcome

  • 15+ tools unified
  • 40+ skills in production
  • Reviews fully automated
  • Hours of synthesis → minutes, automated

Professional Services ERP

ERP

Challenge

A global professional-services firm needed a clear route from fragmented requirements to a coherent ERP plan, with confidence on scope, sequence, data migration and adoption risk.

What was built

Led discovery and solution shaping across business processes, ERP module mapping, GAP analysis, MVP definition and a phased roadmap, built around native-first configuration and business-readable effort.

Outcome

  • Clear phased roadmap
  • Scope confidence for leadership
  • Native-first delivery
  • Governed go-live plan

Unified KPI Command Center

Data

Challenge

Key metrics lived in six spreadsheets owned by different people on different cadences. Consolidated reporting was a manual weekly grind with no on-demand view.

What was built

A KPI intelligence layer: specialised skills pulling live data from all six sources, covering supply chain, finance, service and growth across four trading entities, orchestrated into one view.

Outcome

  • 6 sources unified
  • 4 entities consolidated
  • Friday reconciliation → one-line request
  • Snapshot in under a minute, on demand

AI-Assisted Delivery & Requirements

AI + ERP

Challenge

Discovery information was high-volume, inconsistent and hard to convert into delivery-ready backlog items, slowing every ERP implementation down.

What was built

Redesigned requirements collection using AI voice-to-text, trained model workflows and structured prompts, translating stakeholder language into Gherkin-style user stories, acceptance criteria and tasks.

Outcome

  • Faster backlog creation
  • Traceable requirements
  • Clearer client validation
  • Practical AI, not novelty

Customer Service AI

CS

Challenge

Support volume swung three to five times higher in peak season. Scaling headcount for the peaks was slow and expensive, and quality slipped under pressure.

What was built

A customer-service AI strategy and tooling stack: response automation, AI triage and storefront chatbot integration, all chosen against clear ROI criteria so a lean team could absorb the spikes.

Outcome

  • Ran like 4x the team size at peak
  • No added headcount
  • Faster responses at peak
  • ROI-led tool choice

Retail Scaling & Commercial Growth

Commercial

Challenge

Two growth problems, years apart: a retail business that needed to scale, and a consulting practice that needed a commercial engine built from the ground up.

What was built

Scaled retail turnover from roughly GBP 200k to GBP 500k as Managing Director. Then, as head of business development at an ERP consultancy, built a sales function and go-to-market, overseeing GBP 1.65m of revenue.

Outcome

  • £200k → £500k retail
  • £1.65m revenue overseen
  • Sales team built
  • ERP Gold Partner

What we do

Services that pay for themselves.

Three ways we work: a one-day working session, a six-week deployment sprint, and an embedded partner who keeps the agents shipping. Every one starts with the problem, not the tool.

AI Deployment Sprint

Flagship

One costly workflow becomes a production AI agent in six weeks.

  • Built for you by an embedded engineer, or built with your team
  • Runs inside the stack you already have — no migrations, no new platforms
  • Under 15 hours of your team's time across the whole engagement
  • Fee capped at 25% of the first-year value mapped in scoping
  • 90-day payback guarantee, written into the engagement agreement

From $32,000(£24,000)

Book my free scoping call

AI Working Session

Start here

A one-day working session that ends with a prototype, not a deck.

  • Map the fully-loaded cost of one workflow with your team in the room
  • Build a working prototype live — not a demo prepared in advance
  • Leave with a costed backlog and a concrete 30-day plan
  • Walk out with a working prototype or pay nothing
  • Fee credited in full against a sprint booked within 30 days

Embedded AI Partner

A fractional forward-deployed engineer who keeps the agents shipping.

  • Target cadence: an agent a month in production
  • CTO-level direction on roadmap, governance and vendor decisions
  • Reporting automation and the fast-turnaround work between sprints
  • Monthly commitment, cancel with 30 days' notice

Scoped per engagement

See the embedded partner →

How we work

Three phases. One production agent.

Every engagement runs the same sequence: a free scoping call that baselines the value, a six-week build inside your existing systems, and an ongoing compound phase where each deployed agent funds the next. You see a live agent on the scoping call and a production agent in your systems before the six weeks are up.

  1. 01

    Scope

    The free scoping call maps your most expensive workflow, baselines its fully-loaded cost, and produces the AI Profit Roadmap. That number drives Sprint pricing, the payback guarantee, and the case for whether to proceed at all.

  2. 02

    Deploy

    A six-week Sprint — built for you or built with you — ships one production AI agent inside your existing systems, under 15 hours of your team's time. The 90-day payback guarantee starts at go-live.

  3. 03

    Compound

    Post-sprint, the Embedded AI Partner runs your roadmap month by month — targeting an agent a month — so each deployment compounds the last and the efficiency gap over competitors widens steadily.

Track record

What we have done.

The Margin Labs is new. These numbers are not. They are the real track record we bring to your business.

Operations, AI and technology

£65m

B2B distribution business built from zero, in four years.

3 to 5x

Peak support volume absorbed with no extra hires.

20+ yrs

Operations, finance and IT leadership across e-commerce, B2B distribution and SaaS.

Systems, commercial and delivery

8x

Consultancy revenue scaled from a £200k baseline.

£1.65m

Project and services revenue delivered as commercial lead at a B2B systems consultancy.

2.5x

Retail P&L owned as Managing Director — business scaled from £200k to £500k.

The team

One founder, one operating model.

A broad technologist and COO-level operator who covers AI and operations end to end — from a messy operational problem to a working system the business can run on. The Margin Labs is built around that one operating model, not a roster of generalists.

Nuno Neto

Nuno Neto

Founder · AI, Operations, Finance & Technology

nuno@themarginlabs.com

LinkedIn

Nuno is a broad technologist and COO-level operator with more than 20 years building and scaling businesses across e-commerce, paper, logistics, SaaS and IT. He grew a B2B distribution business from zero to £65m in four years, and has led finance, operations and IT through repeated transformations. Today he builds and runs AI operating systems inside a real 8-figure consumer-goods business, so his work targets real leverage rather than shiny features.

What he brings

Outcomes, not activity. He has taken a business from zero to £65m, added £7.5m of cash flow across 12 markets, lifted operational efficiency by 25% and customer retention by 20%, and absorbed seasonal support spikes of three to five times volume with no extra hires. Today he builds AI operating systems that turn hours of manual reporting and admin into minutes.

  • £65mbuilt from zero
  • +£7.5mcash flow
  • +25%efficiency
  • 3 to 5xvolume, no new hires
  • 20+ yrscross-industry

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