GlenndilenDigital

Instant Answers From your own knowledge

Knowledge assistants that find and explain the information your organisation already holds, with sources shown and permissions respected.

Discuss your knowledge baseAI overview

Your organisation already knows the answer.

Policies, product data, contracts, manuals, past projects and support history: the answers your team and customers need usually exist somewhere. Finding them quickly is the problem.

We build retrieval-augmented systems that search your approved sources, compose a clear answer and show where it came from. When the documents do not contain the answer, the system says so rather than guessing.

What a knowledge system includes.

Designed for accuracy, trust and easy upkeep.

  • Source connections

    Documents, wikis, shared drives, product data and help desks connected securely.

  • Smart retrieval

    Search that understands meaning as well as keywords, tuned on your content.

  • Cited answers

    Responses that link to the exact sources used, so they can be checked.

  • Access control

    Users only see answers drawn from information they are allowed to access.

  • Content upkeep

    A process for keeping sources current and removing outdated material.

  • Quality measurement

    Test questions and feedback that show how accurate the system is.

Answers you can check.

Every answer shows the documents and sections it was based on. That builds trust, makes errors easy to spot and helps people learn where information lives.

We test the system with real questions from your team, including ones it should decline to answer.

  • Sources cited with every answer
  • Clear responses when information is missing
  • Tested with your real questions
Knowledge assistant

Can trade customers return opened items?

Yes, within 30 days if the item is unused and in its original packaging.1 Returns need a return number from the trade portal before anything is sent back.2

  • 1Trade terms, section 7.2
  • 2Portal help: Returns

Built on well-kept knowledge.

A knowledge system is only as good as its sources. We help decide which content is authoritative, how it is structured for retrieval and how updates flow in automatically.

For internal use it can sit inside tools your team already uses; for customers it can power help centres and product advice on your website.

  • Authoritative sources defined
  • Automatic updates when content changes
  • Internal and customer-facing options
Workflow
  1. Your sourcesDocs, wiki, data
  2. PreparedCleaned & chunked
  3. IndexedWith permissions
  4. AnsweredWith citations

How we work together.

A clear, collaborative process with no surprises. You always know what is happening, what we need from you and what comes next.

  1. Step 1

    Find the use case

    We identify a task with a clear input, a repeatable decision and a way to check the result.

  2. Step 2

    Prove it

    A focused pilot tested on your real examples, with an honest view of accuracy, cost and limits.

  3. Step 3

    Build it properly

    Integrations, permissions, monitoring and human review where the stakes call for it.

  4. Step 4

    Operate & improve

    Evaluation, cost tracking and improvements as your data and needs change.

Questions, answered.

Anything else you would like to know? Ask us directly and we will give you a straight answer.

What is retrieval-augmented generation (RAG)?

RAG combines search with a language model. The system first retrieves relevant passages from your documents, then the model writes an answer based on them, so responses reflect your information rather than general knowledge.

Can it handle confidential documents?

Yes, with the right design. Access controls ensure users only see answers from permitted sources, and private deployment is available for sensitive data.

How accurate will it be?

Accuracy depends on source quality and question type. We measure it on a representative set of your real questions before launch and track it afterwards.

Related services.

AI development

Custom AI applications, automation and knowledge systems designed around specific business tasks, tested on your real data and built to be relied on.

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LLM development

Language-model applications built around a defined task, evaluated on real examples and engineered for dependable production use.

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Private AI

Run language models on infrastructure you control when data sensitivity, compliance or volume make a shared API the wrong fit.

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Search development

Product search that finds what customers mean in milliseconds, even across catalogues of hundreds of thousands of products.

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Let’s build something exceptional.

Tell us about the website, platform or problem you have in mind. We’ll reply within one working day with honest advice on the best next step.

Start a projectSee our work

Or email hello@glenndilen.co.uk