AI Integration
For Your Product
Add AI to a product you already have: assistants that remember, agents that act on your systems, and search over your own data. Measured against real cases before it ships.
When AI earns its place
There is knowledge no one can reach
Documents, tickets and past conversations. The answers exist, but finding them means asking someone who already knows.
Something is decided the same way every day
Routing, triage, scoring, first-draft replies: judgement calls that follow a pattern and happen at volume.
Your product could hold a conversation
Users would get further with something that understands what they are trying to do and remembers what they said last time.
AI Features We Build
Assistants that remember
Context carried across sessions rather than starting from scratch each time. The assistant knows what someone has already told it and what they have already done.
Agents that do the work
Not only producing text: calling your tools, updating records and running a multi-step task through to the end.
Connected to your systems
The AI reaches your database, your CRM and your inbox, so its answers come from your data rather than the open internet.
Search that understands intent
Semantic search over your own documents and data. People find things by describing them, not by guessing keywords.
Extraction and summarising
Contracts, invoices, reports and transcripts turned into structured data you can actually use.
Personalisation from real behaviour
Feeds, recommendations and next actions that follow what someone has actually done, not what a segment says they should want.
How a build runs
You tell us what it should do
The task, in your words. Working out whether AI is the right tool for it, and where it is not, is part of the job.
A prototype on your own data
Running against your real documents and records within weeks, so you judge it on your own material rather than on a demo.
Measured before it ships
We build a test set from real cases and score against it, so whether it works is a number rather than an impression. Guardrails and fallbacks handle the cases where the model is unsure.
Live in your product
Integrated and monitored, and re-checked against that same test set as models and prompts change underneath it.
Technology Stack
AI Models & APIs
What the intelligence runs on. We use hosted models rather than training our own, so you get current capability without a research team.
How it is built into your product
Retrieval over your own data, guardrails for when the model is unsure, and evaluation so quality is measured rather than assumed.
Not sure where you stand?
Take our AI Readiness Assessment: 14 questions, 3 minutes, and a personalized action plan.
Take the assessmentFrequently Asked Questions
Two ways to start
Ready to Add AI to Your Product?
Book a 30-minute consultation. We'll work out where AI would help your product, and give you a clear roadmap.