AI Integration
UNIT10 integrates AI where it genuinely removes work or improves a decision — grounded in your actual data, not a generic chatbot demo.
Most 'AI features' aren't actually useful
A huge amount of AI integration work in the market right now is a generic chat widget bolted onto a website, trained on nothing specific, answering questions no better than a search engine. It looks modern in a demo and gets abandoned within weeks because it doesn't actually know anything about your business.
UNIT10 approaches AI integration the other way round: start with a real, specific problem — too much time spent drafting similar replies, a customer support team searching the same documents repeatedly, a team manually summarising long reports — and build an AI feature that's grounded in your actual data and genuinely removes that work.
What genuinely useful AI integration looks like
In practice this often means retrieval-based systems that answer questions using your own documents, policies or product data rather than the model's general knowledge; AI-assisted drafting inside your existing tools (quotes, replies, reports) that a human reviews rather than a fully autonomous black box; or classification and summarisation that turns a pile of unstructured text — enquiries, reviews, documents — into something a person can act on quickly.
We build with human oversight where accuracy genuinely matters, and we're honest about where AI is the wrong tool for the job — not every process benefits from it, and forcing AI into a process that doesn't need it usually creates more work, not less.
Frequently asked questions
Do we need a chatbot on our website?
Sometimes — but a generic, un-grounded chatbot is usually more decoration than value. If it's connected to real answers about your actual business (pricing, availability, policies) it can genuinely reduce support load. If it's a generic widget with no real data behind it, it's rarely worth the cost or the risk of it confidently answering something wrong.
How does AI search work, and can we search our own documents with it?
AI search (often called retrieval-augmented generation) works by finding the most relevant information from your own documents or database first, then using an AI model to generate a clear answer grounded in that specific content — rather than the model answering from general internet knowledge. This is what makes AI features accurate to your business instead of generically plausible-sounding.
Is AI integration safe and accurate enough for our business?
It depends on the use case and how it's built. We use human-in-the-loop review for anything customer-facing or high-stakes, ground answers in your real data rather than open-ended generation, and monitor usage and cost after launch — accuracy and appropriate oversight are part of the build, not an afterthought.
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