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Production AI: Custom ML, RAG & Measured MLOps

AI solutions for small businesses

We build AI solutions for small businesses such as UK trades, clinics and service firms. Typical jobs are pulling details out of invoices and forms, answering questions from your own files with retrieval-augmented generation (RAG), sorting enquiries and forecasting busy weeks. Every build is backed by evals and guardrails, with fixed scope and milestones in writing.

AI built around one measurable job
RAG Over Your Own Documents
Guardrails & Data Privacy
AI architecture with ingestion, training, RAG and monitoring layers

Built for UK small businesses that care about reliability over hype

  • Trades & Field Services
  • Clinics & Practices
  • Accountants & Law Firms
  • Property & Lettings
  • Back-Office Ops
USE-CASES

AI Solutions for Small Businesses That Pay for Themselves

Swipe to browse

The AI for small business we build most falls into three groups, and each one is tied to a number you already track.

Predictive Models

  • Classification: lead scoring and enquiry triage
  • Regression: job pricing and quote-win likelihood
  • Forecasting: busy weeks, staffing and stock (time-series)

Document AI & NLP

  • RAG over your PDFs, price lists, policies and website
  • Extraction from invoices, forms and job sheets
  • Summaries and routing for a busy shared inbox

Computer Vision

  • OCR on receipts, delivery notes and scanned forms
  • Photo checks on finished jobs and stock
  • Safety and compliance screening on site images

Just want a chatbot that answers customers on your website? See our Chatbots service

WHERE IT HELPS

How can AI help a small business?

AI for small business works best on jobs that are repetitive, text-heavy and frequent enough for the minutes to add up, like answering the same questions or keying in invoices. These six are the ones we see pay back most reliably.

  • Answering the same questions

    Opening hours, areas covered, how quoting works, what a service includes. A chatbot trained on your website and FAQs answers them at any hour and captures the enquiry, on your website or as a WhatsApp chatbot. Chatbot packages start at £300 + £29/mo.

  • Drafting replies, quotes and follow-ups

    Turning your job notes or a customer’s email into a first draft of a reply, quote or follow-up in your own wording. You read it, change what needs changing and send it.

  • Pulling details out of paperwork

    AI reads invoices, delivery notes, forms and PDFs and extracts the fields you need, such as supplier, date, amount and job reference. They go into a spreadsheet or your accounts tool without anyone retyping them.

  • Searching your own documents

    Price lists, policies, manuals and past proposals, searchable in plain English, with every answer linked to the document it came from. See our guide to building an AI knowledge base.

  • Sorting and routing enquiries

    Incoming emails and form submissions are tagged by job type, area and urgency, then sent to the right person or list. Nothing sits unread in a shared inbox.

  • Planning from your own history

    If you have a good run of past bookings or sales, a forecast can show busy and quiet weeks ahead, which helps with staffing and stock. It needs enough clean records to learn from.

WHERE IT DOESN’T

Where AI isn’t worth it (yet)

Part of our job is telling you when not to use AI. In these situations we usually recommend something simpler, or nothing at all.

  • Jobs that happen a handful of times a month. A good template or checklist is cheaper and just as quick.
  • No data, or data spread across inboxes and notebooks. Get it into one tidy spreadsheet first, because AI can’t learn from what isn’t written down.
  • Medical, legal or financial decisions that need professional judgement, unless a qualified person reviews every output.
  • Conversations your customers want to have with you. Someone choosing a new kitchen or a bathroom fitter wants to speak to a person.
  • Anything a simple form, rule or automation tool already does well. You don’t need a model for that.
  • Answers that are expensive when wrong and hard to check. If you can’t verify the output, don’t automate it.
GETTING STARTED

How to get started with AI for small business

Start with one job and leave the AI strategy for later. Pick a task that eats time every week, write down how long it takes now, and agree what “better” looks like: fewer minutes per invoice, faster replies or fewer missed enquiries.

We then build a small working version on your real data, put a person in the loop to check the output, and measure it against that starting point before anything goes further. If it doesn’t help, we say so and stop.

Not sure where to begin? Read is your business ready for AI? and where service businesses waste time. Want us to look with you? Our AI consulting starts with a free 30-minute call, then the AI Opportunity Review for £149.

IDEAL FOR

Who Our AI Solutions Are For

  • One specific, measurable job you want done faster, such as sorting enquiries, keying in invoices or drafting quotes
  • Data worth using: job records, invoices, PDFs, photos or booking history
  • Willingness to agree what “better” means before we build, whether that’s minutes saved, replies sent or errors caught
  • A system you’ll run for months, with evals, monitoring and cost controls rather than a one-off demo
  • Customer or patient data that needs PII handling, access controls and an audit trail

Not sure your records can support it? That’s the first thing we check, and we’ll tell you plainly if they can’t before you commit to a build.

See our AI consulting
OUTCOMES

What to Expect From a Custom AI Build

What a custom AI build looks like for a small business, from first call to a working pilot.

Targets we build to

<1s
Median latency

Cached, batched and streamed inference paths

Evaluated before launch

Golden sets with CI regression gates

PII-safe
By default

Redaction, RBAC and audit logging

2 wks
To prototype

A thin slice you can actually judge

  1. 01
    Days 1–3

    Framed

    The job, the target number, constraints and data sources agreed in writing, with a fixed-scope quote.

  2. 02
    Week 1

    Prototype

    A baseline model or slim RAG slice running on your real records rather than synthetic demo data.

  3. 03
    Week 2

    Evaluated

    Tested on real examples from your business, failure modes logged and CI regression gates in place before anything scales.

  4. 04
    Weeks 3–6

    Piloted

    Plugged into your inbox, CRM or accounts tool via APIs, with cost, speed and quality tracked and reported.

These are typical timelines. We confirm yours after scoping.

DELIVERABLES

What’s Included in a Custom AI Build

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Included

Custom ML Models

Classification, regression and time-series forecasting trained on your records for lead scores, job pricing and busy-week forecasts.

Included

RAG Pipeline

Ingestion, chunking, embeddings, rerank and freshness, so every answer comes from your documents and shows its source.

Included

Data Ingestion

Connectors for your website, PDFs, shared drives, CMS and databases, re-indexed on a schedule.

Included

Guardrails

PII redaction, content filters, allow/deny lists and a safe fallback to a person.

Included

Eval Harness

Golden sets built from real examples, scorecards and CI regression tests, so quality is measured instead of assumed.

Included

Integration Hooks

APIs and webhooks into the tools you already run: web forms, CRMs, inboxes, job-management and accounts software.

Included

Cost & Latency Controls

Caching, batching and streaming keep response times and monthly AI spend predictable.

Included

Compliance

Audit logs, role-based access, retention and data-region controls to support your UK GDPR obligations.

Add-on

Pilot & Rollout

Pilot KPIs, staff playbooks and a staged rollout. Customer-facing chatbots are a separate fixed-price service.

PROCESS

How a Custom AI Project Runs

Swipe through the 4 stages

Frame

Pick one job and agree the target number, constraints and data. Then we fix the scope and the price.

Use-caseKPIsRisks
Days 1–3

Prototype

A thin slice on your real data: a baseline model or slim RAG over your documents.

BaselineRAGGuardrails
Week 1

Evaluate

Golden sets from real examples, failure modes and CI regression tests wired in. If it doesn’t help, we stop.

EvalsScorecardsCI
Week 2

Pilot & Scale

Plug into your tools via APIs, watch cost, speed and quality, then roll out to the team.

PilotObservabilityRollout
Weeks 3–6

These are typical timelines. We confirm yours after scoping.

PRICING

How much do AI solutions cost a small business?

Our chatbots are fixed-price packages, starting at £300 + £29/mo for the Enquiry Bot. Not sure where AI fits yet? The AI Opportunity Review is £149, one-off, and gives you a written shortlist of your top 3 use cases. It’s part of our AI consulting. Custom AI for small businesses, such as document extraction, search or forecasting, is quoted at a fixed scope once we’ve seen your data, so you know the full cost before work starts. See full chatbot pricing.

Enquiry Bot

Answers questions on your website and captures enquiries while you work.

£300 + £29/mo

setup, then monthlyNo VAT added

Business Bot

Adds bookings, lead syncing and monthly tuning.

£600 + £49/mo

setup, then monthlyNo VAT added

WhatsApp Bot

For customers who would rather message you on WhatsApp.

From £900 + £69/mo

setup, then monthlyNo VAT added

AI Opportunity Review

A short, honest look at where AI could save your business time, and whether it’s worth doing yet.

£149

one-offNo VAT added
  • The AI Opportunity Review fee comes off any build you commission within 60 days of the review.
  • Bespoke projects (custom AI, web development and SEO projects): 50% upfront and 50% on completion up to £5,000; above £5,000, 40% upfront, then 30% and 30% at agreed milestones.
  • No VAT added.
TECHNOLOGY

Our Stack & Standards

Languages
Python
TypeScript
ML & Deep Learning
PyTorch
TensorFlow
scikit-learn
Hugging Face
OpenAI
Pipelines & Tracking
Airflow
Apache Spark
MLflow
Storage & Search
pgvector
Redis
Elasticsearch
Infrastructure & Cloud
Docker
Kubernetes
AWS
GCP
Azure
Vercel
Tooling
Git

What You Get by Default

Clean data: deduped records, PII handled, versioned splits
Grounded answers (RAG) from approved sources, linked to the document they came from
Guardrails: redaction, filters, fallbacks to a person and audit logs
Latency and cost budgets, with caching, streaming and routing
Eval harness: golden sets and regression gates in CI
Docs and runbooks that your team, or your next developer, can follow
EXAMPLE ENGAGEMENT

Example engagement: how we’d approach this

Illustrative mobile app interface screens
EXAMPLE ENGAGEMENT

Knowledge Ops Automation

A document AI pipeline that combines extraction and RAG to cut manual review and give sourced answers across a large PDF library.

How we’d approach it
  • Extraction plus retrieval (RAG) over your own documents
  • Evals plus CI regression gates before anything ships
  • PII redaction and audit logs
  • Caching and batching to keep cost per document down
See our real projects
FAQ

Common Questions

Do you only build web-based AI?

No. Alongside LLM and RAG work we build classic machine learning (classification, regression and forecasting), plus NLP and computer vision. Each one plugs into the systems you already run through APIs, background jobs or event hooks, so your team keeps working the way it does now.

How do you keep models accurate over time?

We keep golden sets built from your real examples, run evals on every change and block releases with CI regression gates. For RAG, content is re-indexed on a schedule, so a new price list shows up in answers. When the model isn’t sure, guardrails fall back safely.

How do you handle privacy and UK GDPR?

PII redaction, role-based access, audit logs and retention controls are built in. We can deploy into your own cloud account and keep data in the regions your policy requires. That matters for clinics and any firm handling customer records under UK GDPR.

How do you manage cost and latency?

Usage budgets, caching, streaming and model routing keep spend and response times predictable. You see what it costs to run before it goes live. During the pilot we report cost, speed and quality to you, so you can judge whether it’s worth rolling out.

Can you build chatbots?

Yes, through our dedicated Chatbots service, with fixed-price packages starting with the Enquiry Bot at £300 + £29/mo, which answers questions on your website and emails you each lead. This page covers custom AI beyond a chatbot: extraction, search, forecasting and the systems that keep them reliable.

Who owns the code and models?

You do. Code, models and prompts live in repositories under your organisation, with docs and runbooks for a clean handover. If you later bring the work in-house or move to another developer, they can pick it up from those runbooks without starting again.

How much does custom AI cost a small business?

Chatbots start at £300 + £29/mo. Custom AI is quoted at a fixed scope once we’ve seen your data and agreed the target, so the price doesn’t creep. Bespoke projects (custom AI, web development and SEO projects): 50% upfront and 50% on completion up to £5,000; above £5,000, 40% upfront, then 30% and 30% at agreed milestones. No VAT added.

Start with a thin slice

Got a job AI could take off your hands?

Tell us the job that eats your week. We’ll scope it at a fixed price and build a small working version on your real data, and you decide whether to roll it out once you’ve seen how it performs.

  • Reply within one business day
  • You own the code and assets
  • Fixed-scope proposal in 48h
GET STARTED

Tell Us About Your Use-Case

Which job should AI take off your plate, and what data do you have: job records, invoices, PDFs, photos? We’ll reply within one business day with an honest feasibility read and next steps.

  1. 1

    We read it properly

    A real person reviews your notes and comes back within one business day.

  2. 2

    Book a free 30-minute call if it’s useful

    We go through what you need, your budget and your deadline, then tell you honestly which option fits.

  3. 3

    Fixed-scope proposal

    Scope, milestones and pricing in writing within 48 hours of the call.

Hours
Mon–Fri, 9am–5pm UK time
Working style
Remote-first, timezone friendly

We’ll only use these details to reply to your enquiry.