Document-Based Chatbot

We turn your organisation’s documents into a knowledge resource teams can query in natural language. We build digital assistants around relevant sources and access permissions, helping employees find the information they need.

Discuss your chatbot project
A flow connecting organisational documents to a source-based answer

A shorter route to organisational knowledge

When procedures, product information and past work are scattered across files, finding the right answer takes time. We start by identifying who needs answers, what they ask and which sources they should use.

Internal knowledge and procedures

A knowledge assistant that answers questions about processes, policies and internal practices using approved documents.

Sales and customer support

A helper that brings together product details, user guides and common questions to support response preparation.

Onboarding and learning

A guide that helps new employees explore how the organisation works, its documents and working practices.

Expertise archives

An assistant that makes it easier to find information across reports, project documents and accumulated expertise.

From documents to a working assistant

We define each project around its sources, users and success measures. We validate a limited scope before expanding its use.

  1. 01

    Define the need and scope

    We identify target users, recurring questions and the intended environment. We clarify topics outside scope and situations that require human support.

  2. 02

    Prepare the sources

    We review the documents to define the requirements for the chatbot.

  3. 03

    Develop the chatbot

    We develop the chatbot to answer users’ questions using information in your organisation’s documents. Users can easily access the relevant document alongside the answer.

  4. 04

    Pilot with real questions

    We build an evaluation set from the team’s everyday questions and review answer accuracy, source consistency and user experience together.

  5. 05

    Integrate and manage access

    Depending on project scope, we connect the assistant to a selected web interface or internal work environment. Access is designed around your organisation’s rules.

  6. 06

    Update and improve

    We define how document changes are reflected, how incorrect answers are reported and which measures are monitored. Pilot results inform the next improvements.

What do you receive?

We agree the delivery scope at the outset. The goal is a knowledge assistant evaluated against real questions, with defined usage boundaries and content responsibilities.

  • A chatbot and user interface connected to selected document sources
  • Source references, access rules and a path to human support
  • A pilot question set, evaluation findings and an improvement list
  • A working approach to document updates and usage monitoring

How do we evaluate success?

At the start, we agree measures such as consistency with sources, handling of insufficient evidence, user feedback and time spent finding information. Pilot results guide the decision to expand the scope.

Still deciding where to start?

AI Strategy & Roadmap

Make your knowledge accessible to your teams.

Let’s identify the documents and user group that make the best starting point.

Discuss your chatbot project