Example using fictional data
Demonstration report — AI-Ready Audit
From a maturity profile to a roadmap, this fictional report shows how to organise your priorities and prepare investment decisions.
LinkTec Labs
AI built for your work.
Put your knowledge to work, automate processes and equip your teams with custom AI. LinkTec Labs designs, adapts and deploys systems around your data and goals.
Method
From your idea to an operational system.
A dedicated team to design, test and integrate your AI. We start with your goals and prepare every step through to deployment in your environment.
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Design
Give your needs a concrete form: priority use cases, architecture, data and success criteria. Private models, RAG, fine-tuning and agents are combined for your project.
What you receive- Use cases and scope
- Accessible data and constraints
- Proposed architecture
- Evaluation criteria
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Evaluate
Check the system’s value using scenarios representative of your work. Tests compare configurations and identify useful adjustments before deployment.
What you receive- Representative cases
- Configuration comparison
- Prototypes and trials
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Deploy
Put the system to work in your tools and environment. We prepare access, integration, monitoring and maintenance arrangements.
What you receive- Environment selected with you
- Access and dependencies
- Monitoring and maintenance
Reference architecture
Your documents become useful answers.
A document assistant helps your teams find and use authorised information. This diagram shows the path from sources to an answer; agents and automations follow the same standard of control.
- Authorised sourcesDefine usable documents and access rights.
- IngestionExtract content and retain its provenance.
- RetrievalFind relevant passages according to the defined access rights.
- Model and agentsAssemble context and define the permitted actions.
- EvaluationCheck answers and their sources on test cases.
“For a question about an authorised document, does the answer rely on the retrieved passage, and does the system flag when the information is absent from the sources?”
Questions, test cases and criteria are built with you for each project.
Decide on observable results
You receive test results, issues to address and deployment conditions. A concrete basis for deciding what comes next.
Resources
Applied to each domain
AI models and agentsInstructions, RAG, configuration and fine-tuning are among the techniques we use in system design.
AI infrastructureCompute, GPU configuration, networking and access are designed for the execution environment, from hardware sourcing to commissioning.
Simulation and decision supportAssumptions, data and scenarios are examined to compare options, up to connecting real-time data streams.
Sovereignty & securityModels, data and hosting: choices documented with you. No external model API without your request.