Find internal knowledge
Help staff find answers in approved policies, procedures and reference documents.
Turn approved business information into useful AI tools. Linux Tech develops knowledge assistants, document-processing applications and integrated workflows, with access controls and human review planned from the start.

Too much time spent searching, checking documents or repeating the same tasks? Start with one workflow where AI can make a practical difference.
Linux Tech’s AI services cover use-case discovery, data readiness, application development and integration. Projects start with a defined workflow, approved information sources and evaluation criteria, followed by a scoped pilot or implementation.
Enterprise knowledge assistants and retrieval-augmented generation (RAG)
Document recognition, information extraction and classification
AI agents and workflows with human approval steps
Private and on-premises large language model planning
Integration with existing applications, databases and APIs
AI governance, access controls and outcome evaluation
Help staff find answers in approved policies, procedures and reference documents.
Extract and classify information, with human checks before important decisions.
Bring AI assistance into an existing application or approval process.
Help people locate information in business documents, with traceable references.
Streamline input and information handling so people can focus on tasks that need judgement.
Use a focused pilot and clear evaluation criteria to identify applications worth extending.
Clarify your objectives, current environment and practical needs.
Agree scope, priorities and a workable delivery approach.
Deploy, integrate, test and validate in considered stages.
Complete documentation and handover, with ongoing support arrangements.
Choose a repeatable workflow with available data and a clear owner. We can help assess feasibility, define a pilot and agree how the result will be evaluated.
A knowledge assistant can be designed around approved information sources and user permissions. Data handling, hosting and access requirements should be established before implementation.
Integration depends on the interfaces and permissions available in your current systems. We review these during discovery and define the integration scope before development.