Artificial Intelligence
AI that works inside your systems
The problem
What we solve
AI connected to enterprise data, systems, knowledge and workflows
General-purpose AI tools know nothing about the organisation's data, systems or permissions.. so they remain a separate experiment outside real work
We turn AI into an operational capability connected to the organisation's systems, data, knowledge and workflows, with access control, security and result accuracy built in
Service scope
What the service covers
- Generative AI and large language models
- AI agents, assistants and intelligent platforms
- Retrieval-augmented generation, enterprise knowledge systems and intelligent search
- AI model integration with systems, and content and data processing
- Evaluating and governing AI solutions
Use cases
How it is used in practice
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An internal knowledge assistant
An assistant that answers employees from the organisation's documents, policies and systems according to each user's permissions
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Processing documents and requests
Extracting data from incoming documents and requests, classifying them and routing them to the right system
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An agent that executes operational tasks
An agent that reads from and writes to systems to complete defined tasks under clear controls, with human review where needed
Delivery phases
How we deliver
- 01
Define the use case
We pick a use case with clear value, then define the data, knowledge sources, permissions and success criteria
- 02
Build and connect
We build the solution, connect it to the organisation's systems and data, and tune result accuracy and access controls
- 03
Evaluate and govern
We measure performance on real cases and document the solution's limits and monitoring before launch and scale
Deliverables
What you receive
- Documented AI integration design for systems and data
- A solution running inside the organisation's systems with access controls
- A mechanism for evaluating result accuracy and monitoring performance
- Documentation for interfaces, knowledge sources and operations
Common questions
Questions we hear about this service
We design the solution around the nature of the data and the organisation's requirements, and models can run inside its environment or through providers under agreed controls
We connect the solution to reliable knowledge sources, measure accuracy on real cases before launch, and keep human review where the task requires it
No.. we hand over the solution documented, with training for the internal team on operating and monitoring it
Start the conversation
Need this service for your system?
Tell us what you are trying to build or improve, and we will come back with an initial reading of the requirements and the right technical direction