Service 03
Artificial Intelligence & Private LLM Systems
AI & Private LLMs
The challenge
AI interest is high. Practical, controlled adoption is rare.
Many organizations see the potential of language models but hesitate for good reasons: sensitive information, unclear benefits, uncertain costs and limited control over how external services handle their data.
Adding a general-purpose chatbot rarely resolves this. Meaningful adoption starts from specific tasks, specific information and clear rules about who can use what.
What we do
How Panoptes Analytics helps
We identify the tasks where AI can genuinely help, such as finding information in internal documents, drafting routine content or assisting structured workflows, and assess them against value, risk and data sensitivity.
Where confidentiality and control matter, we design and deploy locally hosted LLM environments that run on infrastructure the organization controls, connect them to approved internal knowledge, and integrate them into existing tools and processes. Human oversight, access control and usage guidelines are part of the design from the outset.
Core capabilities
What this service covers
- 01
AI opportunity identification
Assessing where AI can improve specific tasks, and where it should not be used.
- 02
Local LLM infrastructure
Hosting language models on on-premises or organization-controlled environments.
- 03
Internal knowledge assistants
Retrieval over approved internal documents so answers reflect the organization's own information.
- 04
AI-assisted workflows
Embedding AI into defined processes, with people reviewing and approving outputs.
- 05
Integration with internal systems
Connecting AI capabilities to the applications and data sources teams already use.
- 06
Governance and oversight
Access rules, acceptable-use guidance and review practices for responsible deployment.
Example deliverables
Typical outputs, adapted to each engagement
- AI opportunity and risk assessment
- Private AI architecture and hosting design
- Deployed local LLM environment
- Internal knowledge assistant connected to approved sources
- Access control and usage guidelines
- User onboarding and operating documentation
Business value
What it makes possible
- i
Greater control over sensitive information
Internal data can be used with AI without routinely sending it to public external services.
- ii
Practical productivity gains
AI is applied to defined tasks where its contribution can be observed and assessed.
- iii
Adoption that can be governed
Clear rules and oversight make AI use visible, reviewable and adjustable.
Discuss this service
Explore AI that runs under your control.
Tell us which tasks and information you would like AI to support.