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AI

AI knowledge assistants

Help staff find answers in your policies, guides and records. The assistant shows links to its sources so people can check them. It should say when it cannot find enough information to answer.

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What a knowledge assistant does. Your organisation’s knowledge, easy to find

Document search Find information across policies, manuals, contracts and shared drives.
Questions and answers Ask in everyday language and get a short answer with its sources.
Access controls People only see answers from documents they are allowed to open.
Always up to date New and changed documents are added automatically.
Staff onboarding New starters find answers without interrupting colleagues.
Customer self-service Public-facing assistants that answer from approved content only.

How a knowledge assistant project runs. Accurate answers first, then wider rollout

  1. 01Gather1–2 weeksWe agree which documents to include, who can see what, and the questions it must answer well.
  2. 02Prototype1–2 weeksAn assistant built on a sample of your documents, tested against real questions.
  3. 03BuildReleases every two weeksSecure sign-in, permissions, automatic updates and feedback buttons.
  4. 04ImproveOngoingWe review unanswered and poorly rated questions and improve the results.

What you get. An assistant you can check, trust and keep improving

Start with AI discovery
  • Source code and prompts in your own repository
  • A written record of what the AI can and cannot do
  • Tests that check answers against real examples
  • Activity logs with access and retention agreed for your project
  • Usage and cost reporting
  • A handover session for your team

Proven technologies. Laravel is home ground; everything else is chosen to fit your team and hosting

  • Laravel
  • Livewire
  • Vue
  • Tailwind CSS
  • ASP.NET Core
  • PostgreSQL
  • MySQL

Questions about knowledge assistants

How do you use AI safely with our data?

We agree what data AI can access, keep it in UK or EU hosting where required, and never use your data to train public models.

How is this different from asking a public chatbot?

A knowledge assistant answers from your own approved documents, shows where each answer came from and respects your access permissions. Public chatbots cannot see your documents and may guess.

What is retrieval-augmented generation (RAG)?

RAG is the method most knowledge assistants use. The system first finds the most relevant passages in your documents, then asks the AI model to answer using only those passages. This makes answers more accurate and easier to check.

How much does it cost to run AI features?

Running costs depend on how often a feature is used and which model it uses. We estimate them during discovery and set up usage reporting, so there are no surprises.

Which documents can the assistant use?

Most documents that contain text, such as PDFs, Word files and web pages, including those in shared drives. We confirm which sources to include, and who can see them, during discovery.

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Where does your team waste time looking for answers?

Send a short brief and you’ll hear back from Khaled within two working days, with a clear next step.

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