Make your business knowledge easier to find and use.
We build AI systems that help your team search, understand and work with information spread across documents, databases and existing business systems, without expecting people to know exactly where the answer is stored.
The information usually exists. Finding it is the problem.
As businesses grow, useful knowledge becomes spread across documents, databases, shared drives, inboxes and specialist systems. The difficulty is often not collecting more information. It is helping people get to the right information quickly enough to use it.
Staff search several places for one answer
Experienced people become the internal helpdesk
Technical documents are difficult to interrogate
Knowledge is inconsistent or duplicated
People need to know exactly what to search for
Useful data exists but is difficult to compare
Different information problems need different systems.
We design the interface, information structure and AI around the way your team actually needs to use the knowledge.
Internal knowledge assistants
Let staff ask normal questions and find relevant answers across approved company information.
AI-powered search
Search complex or inconsistently structured information using meaning and context rather than relying only on exact keywords.
Document intelligence
Find, extract, compare and structure useful information from documents.
AI-enabled databases
Combine structured records with natural-language search and intelligent filtering.
Product and technical knowledge systems
Help staff interrogate specifications, documentation and product information more efficiently.
Internal research tools
Bring together relevant information from several approved internal sources into a usable answer or summary.
Knowledge capture
Help turn information currently held in documents or specialist teams into structured, searchable knowledge.
Decision-support tools
Surface relevant information, comparisons and context to help a person make a better-informed decision.
Internal web applications
Where a search box is not the right answer, a purpose-built staff interface designed around the task.
More useful than putting a chat box on top of your files.
Uploading documents and asking questions of them is a reasonable starting point, and for a small, tidy set of files it may be all you need. Complex businesses usually need more than that.
Basic document chat
- Upload some files
- Ask a question
- Receive a generated response
- Limited connection to wider business data
- Little control over what happens next
A ChatFox knowledge system
- Uses the information relevant to the job
- Can combine documents and structured databases
- Applies business-specific rules and permissions
- Can show sources and supporting information
- Can compare or structure results
- Can connect with other internal systems
- Can be built into a purpose-designed staff interface
What this can look like in practice
A generic example rather than a client project. An employee needs to identify the right option from a large technical catalogue.
The employee explains the requirement
"I need an option suitable for this application, within these operating conditions." They should not need to understand how the underlying data is structured.
The system understands the requirement
It works out the required criteria, the optional ones, the relevant terminology and what has not been said.
Approved information is searched
Structured product data, technical specifications, manufacturer documentation and internal notes, as configured for that system.
Results are filtered and compared
The interface returns the possible matches with the important differences between them clearly shown.
Supporting information is available
The employee can see where each piece of key information came from and open the original.
The employee remains in control
The system helps them find and understand the information. It does not pretend to replace their professional judgement.
Your knowledge doesn't all live in the same place.
Each kind of information is useful in a different way, and each needs handling differently.
AI can work alongside structured software.
Some information belongs in a database. Some lives naturally in documents. A useful system can combine both rather than forcing everything into one format.
- Products
- Customers
- Specifications
- Records
- PDFs
- Manuals
- Policies
- Notes
One useful interface
Answers should be traceable where it matters.
For knowledge-heavy work, the interface can be designed to show the documents and records supporting an answer, so staff can verify the important details rather than accepting generated text on trust.
Continuous duty is supported at this rating, provided the mounting arrangement matches the specification in the datasheet.
A fictional example of the interface, not a real record. The point is that an employee can open the underlying document and check it themselves. For technical, commercial or regulated work, an answer nobody can trace back is not much use.
How much traceability a system needs is a design decision. Looking up an internal procedure needs less than selecting a product a customer will rely on.
The right information for the right people.
An internal system should not automatically give every employee access to every source. Access is designed around the permissions and requirements of the application.
User authentication
Confirm who is accessing the application before it returns anything.
Role-based access
Different users can have different permitted information or functionality where that is required.
Scoped data access
Connect only the information sources the system actually needs, rather than everything available.
Controlled actions
Restrict what the application is permitted to read, change or trigger.
Connect the knowledge to where the work happens.
Depending on the project, an internal system may need to reach several of these.
Existing databases
Structured business records held in the systems that already own them.
Document libraries
SharePoint, shared drives and other places documents already live.
Microsoft 365
Files, sites and services already in use across the business.
CRM platforms
Customer and account context where it bears on the question.
Product management systems
Catalogue, specification and lifecycle information.
Internal APIs and bespoke software
Business applications reached through available or purpose-built endpoints.
AI cannot fix poor information by pretending it is good information.
Sometimes the first part of an internal AI project is understanding the quality, structure and consistency of the underlying data. If information is missing, duplicated or contradictory, we design around that rather than hiding the problem.
Ready to use
Information is already clean and structured. The work is in the interface and the search behaviour.
Needs organising
Useful information exists but requires cleaning or normalising before it can be searched properly.
Needs clearer ownership
Sources conflict or are out of date, and the business needs to decide which version is authoritative.
Designed to support people, not manufacture certainty.
For complex technical, commercial or operational information, the system should make it easier for employees to reach the right evidence and understand the options. Where judgement is required, the person remains responsible for the decision.
Where internal AI tends to create value
- Businesses with large amounts of technical information
- Companies with extensive product catalogues
- Teams searching across many documents
- Businesses dependent on specialist internal knowledge
- Organisations with large or complex internal databases
- Teams repeatedly answering the same internal questions
- Businesses where finding information slows down customer service or operations
A bespoke system may not be worthwhile if the information set is very small, already easily searched, or adequately handled by an existing off-the-shelf product. We would rather establish that at the start than build something that does not earn its place.
Start with the information problem.
Understand
Identify what people are trying to find, why it is difficult today and which information they currently rely on.
Assess
Review the relevant data, documents, systems, permissions and information quality.
Design and build
Create the appropriate data structure, interface, AI capability and integrations.
Test and improve
Test using real business questions and refine the system based on how staff actually use it.
Business knowledge needs appropriate controls.
An internal system reaches further into a business than a customer-facing one, so who can see what matters more, not less.
Explore our Technical Overview →Is valuable information harder to find than it should be?
Show us where your team loses time finding, interpreting or working with information. We'll help work out whether a bespoke AI system could improve it.
