What is AI integration?
AI integration means adding capabilities like chat, summarisation, classification, or retrieval to your software using large language models and other AI services, wired into your app with reliable, production-ready code.
Which AI providers do you work with?
We work with all the major providers, including OpenAI, Anthropic (Claude), and Google AI, as well as open models. We are provider-agnostic and recommend the best fit for your use case, budget, and data requirements.
Can you add AI to our existing application?
Yes. Most of our work is adding AI integration to existing web, desktop, and server applications. We assess your current stack and integrate cleanly without rebuilding what already works.
What can AI realistically do for our business?
Common wins include customer-support assistants, document and email summarisation, search over your own knowledge base, content drafting, data extraction, and classification. We focus on use cases with clear value rather than novelty.
What is RAG and do we need it?
Retrieval-augmented generation (RAG) grounds the AI in your own documents and data so answers are accurate and specific to your business. If you need the AI to answer from your content rather than general knowledge, RAG is usually the right approach.
How do you control AI costs?
We design for cost from the start: choosing right-sized models, caching responses, setting usage and rate limits, and monitoring token spend so you get predictable, controllable bills.
How do you keep our data private and secure?
We use providers and configurations that do not train on your data, add input validation and output filtering, and apply sensible access controls. Where needed we can discuss self-hosted or open models for sensitive data.
How accurate and reliable are the results?
We engineer and test prompts, add guardrails, and where appropriate use retrieval to ground responses. We also set up evaluation so quality is measured, not assumed, before anything goes live.
How long does an AI integration project take?
It depends on scope. A focused integration can be quick, while multi-provider or RAG systems take longer. After an initial consultation we give you a realistic timeline with clear milestones before any work begins.
Will we own the code?
Yes. On final payment you own all the custom code and intellectual property we build for you, delivered with full source and documentation.
Do you provide ongoing support?
Every engagement includes 30 days of bug fixes after delivery. Beyond that, we offer ongoing support, monitoring, and enhancements on a package or per-project basis, which matters as AI models evolve.
Can you work with us outside the UK?
Yes. We work remotely with businesses worldwide. We agree communication, time-zone overlap, invoicing and handover arrangements before starting.