Services

AI Assistants on Your Company Data

The problem

Your team answers the same questions every week. The answers exist, in manuals, wikis, and past tickets, but finding them is slower than asking a colleague. So people ask colleagues, and your most experienced staff spend their days repeating themselves. Off-the-shelf chatbots promise to fix this and then invent answers, which is worse than silence: a wrong answer reaches a customer before anyone can catch it.

What we build

An assistant grounded in your data. It searches your real documents, answers with citations, says “I don’t know” when the source material has no answer, and speaks your customers’ languages. It lives where work happens: your website, your customer portal, or your internal tools. You decide what it can see, and every answer links back to the document it came from, so trust is checkable rather than assumed.

What’s included

  • Ingestion of your content: PDFs, web pages, knowledge bases, ticket history
  • A retrieval pipeline tuned on your real questions, not a demo that collapses in week two
  • Grounding and evaluation: we measure answer quality before launch and keep measuring after
  • A clean chat interface, or integration into the product and portal you already have
  • Handover and documentation, so your team can maintain and extend what we built

Technologies

Elasticsearch and modern embedding models for retrieval. Claude, Gemini, or watsonx for generation. Deployed in your cloud accounts, alongside your existing stack.

FAQ

Will it hallucinate? Grounding constrains every answer to retrieved documents, and an evaluation harness scores answer quality continuously. When the data holds no answer, the assistant says so and points to a human instead of guessing.

Where does our data live? In your infrastructure and your cloud accounts. We build in your environment; nothing is copied into ours.

How long does it take? A grounded pilot on a real slice of your content typically ships in weeks, and the evaluation results decide what earns a wider rollout.

Next step

Tell us what eats your team's hours.

Describe the process in a few sentences. We come back with what can be automated, what it takes, and what we would leave exactly as it is.

Tell us about your process