Data Platforms
One clean data model, so dashboards, search and AI show the same figures.
AI Applications that answer from your own data
We build AI applications that answer staff questions from your reports, policies and records. Each answer links to its source passage. The applications run in production under your sign-in and access rules.
Answers written from your documents
Our AI applications use retrieval-augmented generation (RAG). The system first finds the relevant passages in your content, then writes the answer from them rather than from the model’s general knowledge. Document intelligence reads scanned PDFs, tables and forms. AI workflows turn an answer into a next step: a draft, a classification or a routing decision.
Problems it solves
The knowledge exists, but finding and checking it takes too long.
- Staff answer the same policy questions by searching shared drives and email.
- A general-purpose chatbot gives fluent answers no one can verify.
- Documents arrive as scans, tables and forms that keyword search cannot read.
- Reviewers must show how a conclusion was reached, not only the conclusion.
How we work on an AI application
Each stage ends with a result you review before the next one starts.
Discovery
We agree on the questions, source documents and users, then write a test set of questions and accepted answers with your experts.
Pilot on your data
We run the application on a defined document set and measure answers, sources and failures against the test set.
Production
We connect your sign-in and document stores, apply access rules, then deploy in the agreed environment with monitoring and an audit log.
Where a first project usually starts
We pick one recurring question and the documents that answer it, for example the policy clauses a team checks before approving a request. In the pilot, the assistant answers it from your documents and links each answer to its source. Your experts score the answers against a test set, so you know how far to trust it before anyone relies on it.
What we need from you
We need a defined set of your documents, the questions your team really asks and an expert who can judge the answers.
What you get
- A working AI application on your documents and data
- An ingestion pipeline for your document formats
- A test set and the measured pilot result
- Access control tied to your users and roles
- An audit log of each answer
- Deployment in the agreed environment, with documentation and support
Related solutions
Systems Integration
Connect AI and new software to the systems you already run.
Frequently asked questions
Where does our data go?
We agree on hosting, access and data handling with your IT and security teams in Discovery, before the pilot starts. Those rules then decide which language model we use.
How do we know the answers are correct?
Each answer links to the passages it used, so a reviewer can check it. When your documents do not contain the answer, the system is designed to say so rather than guess.
Can the application act on an answer, not only give one?
Yes. An AI workflow can draft a reply, classify a document or route a request. Any write to another system is planned with that system’s owner.
Start with one question your team asks every week
Tell us the question and the documents it depends on. We will set out what a pilot on your data would involve.