Company knowledge.
At your fingertips.
The assistant searches company documents and cites the sources behind its answers. We start with a pilot using a selected knowledge base.
An answer with the right context.
Procedures, instructions and documents — just ask.
Selected knowledge
We organise sources, current document versions and user access.
An answer with a source
RAG search provides context, and employees can check the evidence behind an answer.
A pilot to evaluate
We test relevance, gaps in knowledge and access boundaries using an agreed set of questions.
We select text-based PDFs, procedures and structured data to suit the task. Scans may require a separate OCR step.
How does working together look?
One process. Four clear stages.
- 1
Consultation
We learn about the task, tools and expected result.
- 2
Project
We choose the solution, data sample and acceptance criteria.
- 3
Implementation
We connect and test the agreed scope, then hand it over to your team.
- 4
Development
We assess quality, time and cost, then agree ongoing maintenance.
Questions before you start
Does the AI assistant learn from company documents?
In a RAG solution, documents are a searchable source of context. This does not automatically mean training or fine-tuning the model. We review how the selected tools and providers process data during design.
Will every employee see all documents?
Access to knowledge should reflect permissions. We design user-specific source filtering and test unauthorised questions and access to document excerpts. Hiding a link in the interface is no substitute for system-side access control.
Does every answer include a source?
We can design a mode that answers only from approved sources. Both retrieval relevance and whether the answer matches the source excerpt need testing. When there is no supporting evidence, the assistant should say so.
Can the knowledge base include scanned PDFs?
Scans may require OCR — recognising text in an image. This is a separate step whose quality depends on the material. Reading a text-based PDF and reading a scan are different scopes of work.
Can the assistant also update our CRM?
This requires connecting to the tool, granting permissions, validation and agreed approvals. This falls within AI integration, which can be added once the knowledge workflow itself has been tested.
How do you price an assistant with a knowledge base?
We consider the number and format of sources, updates, user roles, interface, environment and workload. We separate preparation and implementation from the costs of models, infrastructure and maintenance.
Let's discuss what AI can do
in your business.
Describe the task. We will choose a sensible first step.