AI Integration
For Real Business Software
Add Claude, GPT and AI features to your existing or new software. Production-ready integrations with prompt caching, the right model for each task, and UK GDPR-aware architecture. No hype — just AI that pays for itself.
What Is AI Integration?
AI integration means adding large language models (LLMs) like Claude or GPT to your existing or new software so they handle tasks that previously needed human judgment — answering customer questions, summarising documents, drafting content, classifying records, or running multi-step workflows. Done properly, it cuts cost per task by 80-95% while improving response time and consistency. Done poorly, it's a budget drain that frustrates users. The difference is in the engineering.
What I Build With AI
Six high-leverage AI integrations that work in production today — for UK businesses, with UK GDPR in mind.
AI Chatbots & Customer Support
Customer-facing chatbots powered by Claude or GPT — trained on your knowledge base, answering in your tone, escalating when needed. Handles the 80% of repeat questions so your team handles the 20% that need a human.
Document Analysis & Extraction
Pull structured data out of PDFs, contracts, invoices, emails, and forms automatically. What used to take hours of manual reading takes seconds.
Semantic Search & RAG
Search that understands meaning, not just keywords. Plug retrieval-augmented generation (RAG) into your help docs, knowledge base, or content library using Supabase pgvector.
AI-Assisted Content Generation
Generate product descriptions, email drafts, social copy, summaries, translations — at scale, in your brand voice, with human review built into the workflow.
Autonomous AI Agents
Multi-step AI agents that take actions on your behalf — qualifying leads, drafting replies, updating your CRM, booking calls. Built with proper tool-use patterns and human-in-the-loop controls.
AI-Powered Workflows
Smart automations that combine AI with your existing tools (n8n, Zapier, Supabase, your CRM). The AI does the judgment calls; the workflow handles the plumbing.
How I Build AI Features That Pay For Themselves
The difference between an AI feature that works and one that burns budget is mostly engineering discipline.
Prompt Caching By Default
Most production AI systems waste 90% of their API spend by not caching. I build with Anthropic prompt caching from day one — same quality, fraction of the cost.
Right Model For The Job
Not every task needs Opus. I mix Claude Opus, Sonnet, and Haiku (and GPT models where they fit) so each query runs on the cheapest model that does it well.
UK GDPR-Aware Architecture
Data flows mapped, processing terms reviewed, sensitive fields redacted before they reach the model. I treat AI like any other data processor — properly.
Human-In-The-Loop By Default
AI gets things wrong sometimes. I design workflows so high-stakes actions are reviewed by a human, and the AI learns from corrections over time.
Build Custom AI Or Buy SaaS?
Off-the-shelf AI SaaS (Intercom Fin, Drift AI, Jasper) is fast to deploy but expensive at scale and constrained to its vendor's feature set. Custom AI integration is the right call when:
You have proprietary data or workflows
SaaS tools generalise. Custom integration trains on your specific knowledge base, your tone, your processes.
Volume justifies it
At 10,000+ queries a month, custom integration with prompt caching is typically 5-10x cheaper than per-seat SaaS pricing.
Data residency matters
UK GDPR or industry-specific compliance often rules out general-purpose SaaS — custom architecture lets you keep data where it needs to be.
You want it in your product, not bolted on
Custom integration lives inside your software. No iframe widget, no jarring switch between tools — just AI features that feel native.
I'm happy to advise honestly — sometimes SaaS is the right answer and I'll tell you so.
What You Get
- Claude or GPT integration into your existing software
- Prompt caching built in — typically 80-90% cost reduction
- Structured outputs, tool use, and proper error handling
- Vector search with Supabase pgvector (optional)
- UK GDPR-aware data flow and processor documentation
- Monitoring, observability, and cost dashboards
What Good AI Integration Delivers
Commercial outcomes UK businesses are seeing today.
- Customer support response times cut from hours to seconds for routine questions
- Document processing workflows that scale without adding headcount
- Content production at 5-10x current volume with quality maintained
- Smart search that actually finds what users mean, not just what they typed
- Internal tools that feel ten years ahead of off-the-shelf SaaS
AI Integration FAQs
Common questions about adding AI to business software — cost, data privacy, and which model to use.
Ready To Add AI To Your Software?
Tell me what you're trying to do with AI and I'll send you a fixed-price quote — or honest advice that SaaS would be the smarter move.