London-first delivery for UK businesses / Remote European web, SEO and AI studioDiscuss your project

AI & Automation · United Kingdom

AI that works while you sleep.

We design agents, chatbots and automated flows around one approved use case, named data sources, human escalation and a measurable success criterion before anything reaches production.

GPT-4ClaudeGeminiLlama 3Mistraln8n
Use case before tooling
Scoped
Approved business sources
Grounded
Actions and exceptions
Logged
Code, data and handover
Owned
  • 14 yearsDelivery experience
  • UK-wideRemote delivery
  • Client-ownedCode and assets
  • ScopedBefore build
  • No lock-inHandover included

AI automation agency

What an AI automation agency actually does

YAG is a European web & AI studio building AI automation for UK businesses, 100% remotely: GPT-4 and Claude chatbots, autonomous agents and n8n automation flows that connect approved data and tools. We confirm the scope after discovery and define how reliability, review effort and business value will be measured before implementation.

Real use cases

What can AI actually do for your business?

These are implementation patterns we can scope for UK businesses. The operating rules, integrations, evidence and expected outcome are defined for each organisation before build.

💬

Customer support chatbot

Answers within an approved scope, retrieves from named sources and hands uncertain or sensitive cases to a person.

Defined handover rules
📊

Automated reporting

Collects agreed data, applies a repeatable reporting workflow and prepares a reviewable output on schedule.

Repeatable reporting
📧

Email marketing assistance

Supports segmentation and draft preparation while keeping audience rules and final sending under human approval.

Approval before send
💼

Lead qualification

Applies declared qualification criteria, records the reason for the route and escalates ambiguous cases.

Transparent scoring

Process automation

Moves approved data between systems using deterministic steps, logs and exception handling.

Logged execution
📝

Content assistance

Prepares product, article or campaign drafts from approved source material for editorial review.

Human review
🎙️

Transcription & summaries

Transcribes consented recordings and prepares summaries with action items for review.

Reviewable action items
🔍

Grounded search

Lets users query an approved catalogue or knowledge base and returns source-aware answers.

Source-aware answers
📞

WhatsApp assistance

Handles approved enquiry flows and transfers the conversation to a person when the rules require it.

Human escalation

Process

From idea to production in 4 steps

01

Diagnosis

We map the manual processes that take the most time and would have the biggest impact if automated.

02

Prototype

We build a bounded agent or workflow in a controlled environment, with test cases and clear acceptance criteria.

03

Integration

We connect the AI system to your existing tools: CRM, ERP, online store, WhatsApp, email.

04

Training & support

Training for your team, documentation and ongoing support so the system keeps improving over time.

What kind of AI you need

Workflow, RAG, Agent or Platform

Not everything is a GPT agent. Every problem has the right technical solution — and every solution has its own cost, complexity and implementation time. We’ll explain when to use what.

Deterministic

Automated workflow

A deterministic sequence of steps: A → B → C. No AI making decisions, just execution. Ideal for repetitive, predictable processes.

When to use it: Automatic invoicing, CRM ↔ email sync, Slack notifications for new leads, KPI dashboards.

n8n · Make · Zapier · Node.js

Scope confirmed after discovery

Answers

RAG / Chatbot with context

AI that retrieves from an approved knowledge base before responding, with source references where the underlying material supports them.

When to use it: Customer support using your own information, internal document search, an internal assistant with your manuals.

LangChain · Qdrant · pgvector · GPT-4o · Claude

Scope confirmed after discovery

Decides and acts

AI agent with tool use

The AI plans, chooses tools, takes actions and corrects itself. Persistent memory across conversations.

When to use it: Lead qualification and routing, calendar-based bookings, end-to-end issue resolution, sales agents.

OpenAI Assistants · Claude Agents · LangGraph

Scope confirmed after discovery

Full system

Multi-agent platform

Several specialised agents working together: one researches, another drafts, another reviews. Orchestrated by a coordinator.

When to use it: Automated research and reporting, bulk SEO content generation, market analysis, complex data pipelines.

LangGraph · CrewAI · AutoGen · Custom Python

Scope confirmed after discovery

Sector-specific scopes

8 sectors where a bounded AI workflow can be assessed

Each example below is a scope pattern, not a claimed case study. Feasibility, risk, compliance and value still need to be established against the organisation’s real process.

🏥

Health & clinics

Agents for scheduling and reminders, basic triage, appointment summaries and report generation. Sensitive data handled on self-hosted models.

Example scope: appointment reminders with consent, human handover and an auditable exception queue.

🛒

eCommerce & retail

Bulk SEO product-listing generation, sizing and recommendation chatbots, smart abandoned-cart recovery, automatic catalogue classification.

Example scope: catalogue assistance grounded in approved product data, with review before publication.

⚖️

Consultancies & legal

Assisted contract drafting, document analysis, semantic search across files, executive summary generation.

Example scope: document retrieval with permissions, source references and specialist review.

🏨

Tourism & hospitality

Personalised recommendation engine, automated responses in 15 languages, review management, smart upselling.

Example scope: multilingual enquiry triage with approved answers and staff escalation.

🏭

Industry & logistics

Demand forecasting, route optimisation, automatic incident classification, OCR for delivery notes and invoices with structured extraction.

Example scope: delivery-note extraction with confidence thresholds and an exception queue.

🏢

Real estate

Automatic lead qualification via WhatsApp, property description generation, AI-narrated virtual tours, assisted valuations.

Example scope: lead intake against declared criteria, followed by human review and routing.

🎓

Education & e-learning

Personalised AI tutoring, automatic exercise marking, adaptive content generation, student comprehension analysis.

Example scope: a bounded learning assistant using approved materials and teacher escalation.

💼

Professional services

Meeting transcription and minutes, assisted drafting, automated research, proposal assistance, smart inbox management.

Example scope: meeting summaries and proposal drafts that remain subject to professional review.

Architecture

How your AI processes information

Chained integrations: data ingestion, vectorisation, reasoning with top-tier models and automated outputs into your tools.

Interactive demo

Try our chatbot

A sample of the kind of interface we deliver. Dark theme, reduced-motion respected, and ready to connect to any model or tool.

Visual demo · not connected to a live model on this page

FAQ

Questions about AI and automation

What kind of AI do you use in your projects?
We select the provider and model after assessing the use case, data sensitivity, cost, latency and integration requirements. A solution may combine hosted or open-source models, deterministic workflows, tool use and retrieval over approved business sources. The model name is not the product: the operating rules, evaluation and handover are.
What is n8n automation used for?
n8n is an open-source automation platform that can be self-hosted. We use it where a transparent, logged workflow is a better fit than an autonomous agent: for example, connecting a CRM, email, an online store or an internal system. Time saved depends on the starting process and is measured against an agreed baseline.
How much does it cost to implement AI in my business?
It depends entirely on scope — a simple chatbot with RAG over your website is a very different project from a complex agent integrated with your CRM, or a bespoke multi-agent platform. We always work from a fixed quote agreed after a discovery call, with an estimated ROI before you commit to anything.
Do I need technical knowledge to use the AI you implement?
No. Everything we deliver includes recorded training plus documentation. The AI runs in the background; you see the results in your dashboard, your inbox, WhatsApp, your CRM, or wherever makes most sense for your workflow. The day-to-day experience stays simple and transparent.
Is my data secure? Is it GDPR compliant?
Security and GDPR requirements are assessed before architecture is chosen. We document the data sources, processors, retention, permissions and human access required for the use case. Sensitive work may require EU-hosted or self-hosted components, a DPA and additional specialist review; we do not describe a system as compliant until that scope has been assessed.
Can I start small and scale up?
Yes. We recommend starting with one bounded use case, a named owner, an approved data set and a measurable success criterion. Expansion only follows if the first workflow is reliable, useful and economical in your real operating environment.
What’s the difference between a chatbot, an AI agent and an n8n workflow?
A chatbot answers questions (input → output). An AI agent makes decisions and takes actions — it plans, uses tools, and corrects itself. An n8n workflow is a deterministic sequence of steps (if-then). We combine all three depending on the case: workflows for repetitive, predictable tasks, agents for complex decisions, chatbots as the interface. We advise you on what you actually need before proposing anything.
What is RAG and when does it make sense?
RAG (Retrieval Augmented Generation) lets a model retrieve approved information before it answers. It can make responses more grounded and allow source references, but it does not eliminate errors. We combine retrieval with evaluation, access controls, refusal rules and human escalation according to the risk of the use case.
Can you integrate AI into WhatsApp Business?
Yes, where the WhatsApp Business Platform, consent model and approved message flows fit the use case. We define what the automation may answer or do, how it uses CRM context and when a person takes over. Account and template approval remain subject to Meta’s policies.
How do you measure the ROI of an AI project?
Before starting, we agree a baseline and a concrete success criterion such as review time, resolution quality, qualified leads or response time. The implementation is logged and evaluated against that baseline. If the evidence does not justify continuing, the next decision is to adjust, contain or stop the workflow.

Geographic coverage

AI for businesses across the UK

We scope AI agents, chatbots and n8n automation for UK organisations. Data sensitivity, hosting, processors, permissions and human review are assessed before architecture is selected.

London & South

  • London
  • Bristol
  • Reading
  • Oxford
  • Cambridge
  • Southampton
  • Brighton
  • Norwich

North & Midlands

  • Manchester
  • Birmingham
  • Leeds
  • Liverpool
  • Sheffield
  • Newcastle
  • Nottingham
  • Leicester

Scotland, Wales & NI

  • Edinburgh
  • Glasgow
  • Aberdeen
  • Cardiff
  • Swansea
  • Belfast

Don't see your city on the list? No problem. We work remotely with businesses across the whole of the UK and the rest of Europe. What matters is the project, not the distance.

Ready to automate your business?

A no-cost discovery call to identify the safest useful first scope, the evidence it needs and the success criteria you should measure before deciding whether to build.

No-cost discovery · Bounded prototype · Acceptance criteria before production