AI Integration & LLM Development
AI Integration and LLM Development Services for Web Applications
Practical AI in your product — assistants, document understanding, search over your own content, and OCR or classification pipelines built with Python and modern LLM APIs.
AI That Answers From Your Data, Not From Guesswork
Most useful AI work in a business application is not a chatbot bolted onto a home page. It is narrower and far more valuable: answering customer questions from your own documentation, reading invoices or forms and turning them into structured records, drafting replies a human approves, classifying and routing incoming enquiries, or making a large archive genuinely searchable in plain language.
The pattern behind most of it is retrieval-augmented generation. Your content is chunked, embedded and stored in a vector database; a question retrieves the most relevant passages; the model answers using those passages and cites them. That keeps answers grounded in your material and dramatically reduces invention — and when the system does not know, it should say so, which we build in deliberately.
We deliver this as production software, not a demo: a Python or Node service with evaluation on a fixed question set so you can measure quality, cost and latency budgets per request, caching, rate limiting, prompt-injection defences, human review where the stakes justify it, and the option of a self-hosted model with Ollama where data cannot leave your infrastructure.
What’s Included
What We Build with AI
Assistants Grounded in Your Content
Support and sales assistants that answer from your documentation, policies and product data — with citations and a handover to a human.
Retrieval & Semantic Search
Vector search over your documents, tickets or catalogue so people find answers by meaning rather than keywords.
Document Understanding & OCR
Invoices, forms, contracts and scans turned into structured, validated records with a review queue for low-confidence cases.
Classification & Routing
Automatic tagging, prioritisation and routing of enquiries, tickets and content, with rules you control.
Content & Drafting Tools
Internal tools that draft replies, summaries and descriptions in your tone, always with a person approving before it is sent.
Evaluation, Guardrails & Cost Control
Test sets to measure answer quality, injection defences, token budgets, caching and fallbacks when a provider is down.
Benefits
How We Keep AI Projects Honest
- Answers grounded in your own content, with sources shown and "I don’t know" allowed.
- Measured quality: a fixed evaluation set, so improvements are demonstrated, not claimed.
- Predictable spend through token budgets, caching and model selection per task.
- Provider-neutral design — swap between API models or a self-hosted one without a rewrite.
- Human review kept in the loop wherever a wrong answer would cost you money or trust.
Technologies Used for AI Integration & LLM Development
We recommend the right tools for your goals, budget and team — never a one-size-fits-all stack.
Discuss Your ProjectHow We Work
Our AI Integration & LLM Development Process
Discovery & Consultation
We learn about your business, audience and goals, review any existing website and agree on clear success criteria.
Strategy & Planning
We define the sitemap, features, technology stack and timeline, so scope and budget are clear before work begins.
UI/UX Design
We design wireframes and polished, responsive layouts for your approval, focused on usability and conversions.
Development
We build with clean, standards-based code, integrate your tools and set up an easy-to-use content editor.
Testing & QA
We test functionality, speed, security, accessibility and SEO across browsers and devices before launch.
Launch & Support
We deploy, monitor and fine-tune your site, then provide ongoing maintenance and support as you grow.
FAQ
AI Integration & LLM Development FAQs
Will the AI make things up about our business?
That is the main risk, and the reason we use retrieval: the model answers from passages fetched out of your own content and cites them, and is instructed to say it does not know rather than guess. We then measure that behaviour against a fixed test set before launch.
Does our data get used to train someone else’s model?
Not with the business API tiers we use, which exclude customer data from training by default. Where your policy or regulator requires it, we deploy an open-weight model on your own infrastructure so nothing leaves your network.
What does it cost to run?
Usually far less than expected — a grounded assistant answering a few thousand questions a month typically costs tens of dollars, not thousands. We set token budgets, cache repeated queries and pick a smaller model per task, then report actual usage.
Can you add AI to our existing website or app?
Yes. In most cases we build a separate service with its own API and connect it to your current site, so your existing stack is untouched and the AI component can be changed or removed independently.
Where does AI not make sense?
Where a deterministic rule, a search index or a well-designed form would do the job more cheaply and predictably. We will say so — an AI feature nobody uses is worse than no feature.
Explore More
More Cloud, Data & AI Services
Technologies and services that work well alongside ai integration & llm development.
Cloud Hosting & DevOps
AWS, Azure, Google Cloud and DigitalOcean setup, Docker and Kubernetes, CI/CD pipelines, Nginx tuning, monitoring, backups and cost optimisation.
Database Development
Schema design, query and index tuning, migrations and search infrastructure across MySQL, PostgreSQL, MongoDB, Redis and Elasticsearch.
Hosting, Server & DNS Management
Nginx, Apache, Docker and cloud servers configured, secured and kept running — plus DNS, SSL and Cloudflare set up correctly the first time.
AI Chatbot & Website Assistant
An assistant that knows your services, answers real questions, quotes from your prices and captures enquiries while you sleep. Try ours — it is in the corner of this page.
Case Studies & Live Demos
AI Integration & LLM Development in Practice
Projects where this work made a measurable difference — the problem, what we built and the results. Each one has a working demo you can try.
- Python
- FastAPI
- Tesseract OCR
Data Automation & OCR
Invoice Processing & OCR Automation
A Python pipeline that reads 18,400 supplier documents a month and posts 93% of them without a person keying anything.
- Python
- FastAPI
- Vector database
AI Integration
Support Assistant Grounded in Product Documentation
A retrieval-based assistant answering customer questions from the vendor’s own documentation, with citations.
- Azure Document Intelligence
- Python
- FastAPI
Data Automation & OCR
Proof-of-Delivery Capture with OCR for a Haulage Firm
Photos of signed delivery notes turned into invoice-ready data automatically, cutting the gap between delivery and invoice from six days to one.
- Node.js
- NestJS
- TypeScript
API & ERP Integration
ERP to Web Shop Integration
A NestJS integration layer moving 312,000 messages a day between an ERP, a web shop and the accounts system.
- React
- TypeScript
- Node.js
Web Application Development
Freight Dispatch & Driver Tracking Platform
A live dispatch board built in React and Node.js that replaced a spreadsheet-and-phone workflow for 120 drivers.
- PostgreSQL
- pg_stat_statements
- Redis
Database Optimisation
Rental Marketplace Database Optimisation
Search dropped from 2.4 seconds to 38 milliseconds, and the marketplace went from six database servers to two.
From the Blog
Guides and Comparisons Worth Reading
Straight answers on when this technology is the right choice, what it costs and how to get the most from it.
A Website Chatbot That Helps: What It Should Do, and What It Should Never Do
Most website chatbots annoy visitors because they were built to look clever rather than to be useful. Here is what a good assistant does on a business website, where the line is, and how to tell if yours is paying for itself.
Django vs FastAPI: Choosing a Python Web Framework
Django gives you a complete application with an admin panel. FastAPI gives you a fast, typed API and nothing else. The right answer depends on what you are building.
OCR and AI Document Processing: What Accuracy to Expect and How to Get It
Invoices, delivery notes, forms and contracts can be read by machine with very high accuracy — if the pipeline is built around validation and review rather than blind trust. Here is how it works.
AI Integration & LLM Development Enquiry
Tell Us About Your AI Project
Tell us what the AI has to do, what content it should answer from and how sensitive the data is — that decides the design more than anything else.
- Reply within 24 hoursA real person reviews every request.
- Free consultationHonest advice, no obligation.
- 100% confidentialHappy to sign an NDA.
- We review your requirements
- We reply with questions or a call slot
- You receive a clear, itemised proposal