Retrieval grounded chat assistants, support copilots and internal knowledge tools that are accurate, on brand and cited.
What you get out of it
The results this service is built to move: measurable, and agreed before we start.
- Faster answers for customers and staff
- Grounded, cited responses, not hallucinations
- Deflected support volume
The work itself
Concrete deliverables. Everything below is produced, documented and handed over to you.
- RAG pipeline & vector store
- Conversation & prompt design
- Brand voice & safety tuning
- Analytics & feedback loop
Support, sales and knowledge teams scaling without scaling headcount.
Not sure this is the right fit? A short discovery call will tell you straight, and point you to the service that is.
How we deliver this
A look at how a conversational ai engagement actually runs with LiverpoolAI.
Every assistant we build is grounded in your own content through a retrieval pipeline, so answers come from your documents, with citations, rather than from the model guessing.
We design the conversation itself: how the assistant greets, clarifies, handles uncertainty and hands off to a human when it should.
Brand voice and safety are tuned deliberately, so the assistant sounds like your business and stays inside the boundaries you set.
After launch we watch real conversations, feed gaps back into the knowledge base, and tighten accuracy on a continuous loop.
Frequently asked
How do you prevent the assistant from hallucinating?
It answers only from retrieved, cited sources. When it cannot find a grounded answer, it says so and offers a route to a human.
Can it work across both customer and internal use?
Yes. The same retrieval foundation powers customer support assistants, sales copilots and internal knowledge tools, each tuned separately.
Which channels can the assistant run on?
Website chat, in app, help desk and messaging platforms. We integrate with the tools your team and customers already use.
How do you keep its knowledge current?
The retrieval index syncs with your source content, so updates to your documentation flow through without retraining a model.