AI Integrations
Bring the power of AI into your existing products, platforms, and business workflows.
Practical AI wired into the products and data you already own.
The value of AI shows up when it is connected to your real information and your real workflow — not when it is a standalone demo. An assistant that cannot see your documents, or a chatbot that cannot hand off to a person, creates more work than it saves.
We integrate AI into existing websites, software and business processes: assistants that answer from your own content, search that understands intent, and tools that process data your team currently handles by hand.
Ideal for
- Businesses with lots of documents, support questions or data to process
- Teams that want AI features without replacing their current platform
- Companies that want a sensible first step rather than a large commitment
How it flows
- Website
- Software
- CRM
- Data
- Customers
What AI Integrations includes
Every engagement is scoped to your goals. These are the building blocks we draw from.
AI Chatbots
Conversational assistants for your site or product, grounded in your own content.
AI Assistants
Task-focused assistants that help your team find answers and complete work faster.
AI APIs
Clean API layers that bring language and analysis models into your existing systems.
AI-Powered Search
Search that understands what people mean, not only the exact words they type.
AI Content Systems
Drafting, summarising and structuring workflows with human review built in.
AI Data Processing
Extracting, classifying and organising information from documents, emails and forms.
AI Customer Support
First-line answers and triage, with a clear path to a real person when needed.
AI-Powered Business Tools
Purpose-built internal tools that apply AI to a specific part of your operation.
How we run it
Four stages, each with a clear output you can review before we move on.
Find the right problem
Identify where AI genuinely helps and where simpler automation is the better fit.
Connect your data
Ground the system in your own content so its answers are relevant and checkable.
Build with guardrails
Add review steps, fallbacks and limits so the system fails safely.
Measure and tune
Test against real cases and refine behaviour as you learn how it is used.
Outcomes you can point to.
- AI that works inside your existing systems
- Answers grounded in your own information
- Clear human hand-off and review where it matters
- A practical first use case that proves value before you scale
Common questions
Is our data safe?
Data handling is part of the design conversation. We discuss what information is involved, where it is processed and what controls you need before anything is built.
Do we need to replace our existing systems?
No. The aim is to add intelligence to what you already run, through integrations and APIs.
Can AI make mistakes?
Yes, which is why we build in review steps, fallbacks and limits, and test with realistic cases before launch.
Ready to talk about AI?
Tell us what you are trying to achieve. We will come back with a clear view of scope and a plan — not a generic pitch.