AI Knowledge Assistants (RAG)

An assistant that answers questions from your own documents, with sources your team can check.

Most company knowledge sits in PDFs, wikis, manuals, tickets and e-mails. Finding the right answer takes time, and new employees often don’t know where to look.

Retrieval-Augmented Generation (RAG) connects a language model to your documents. The assistant first searches the relevant passages, then answers, and shows the sources so your team can verify every answer.

Typical use cases

Internal help desk

Answers on HR policies, processes and IT questions, around the clock.

Technical documentation

Service technicians and support find the right section in manuals in seconds.

Compliance & policies

Quick, sourced answers from regulations, contracts and internal guidelines.

Log & report analysis

Summaries and suggested solutions from system logs and reports.

Related case study

Private AI

Private LLM Platform for a Public-Sector Organisation

Challenge
Staff needed generative AI for documents and IT operations, but sensitive data could not be sent to external AI providers.
Result
Generative AI in daily use, with no data leaving the organisation and no dependency on external APIs.
  • Ollama
  • Open WebUI
  • RAG
  • Embeddings
  • C#
  • Azure DevOps
Read case study →

Ways to Start

Small first steps, clear results

Half day · fixed price
AI Opportunity Workshop

We map your processes, identify the 2–3 AI use cases with the best return, and leave you with a prioritised roadmap.

4 weeks · fixed scope
AI Pilot: Agent, RAG or ML

A working prototype on your own data, tested with real users before you invest further.

1–2 days · fixed price
AI & Data Readiness Check

A review of your data, tools and privacy requirements (GDPR, nDSG), with clear recommendations on which AI approach fits: cloud, hybrid or on-premise.

How I Work

From idea to production in four steps

  1. Discover

    A free 30-minute call, then a workshop to understand your processes, data and privacy requirements.

  2. Pilot

    A small, fixed-scope prototype on your real data, so you see the value before investing further.

  3. Deploy

    Production rollout in your cloud or on your own infrastructure, integrated with the tools your team already uses.

  4. Support

    Monitoring, model updates, training for your team and continuous improvement.

Other services

Let’s find out what AI can do for you

A free, no-obligation 30-minute call. You describe your processes or data, and I show you where AI could help and what a sensible first step looks like.

Book a free 30-min consultation →