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AI Systems Consulting & Private LLM Deployment

Integrate AI with your data and workflows.

The work

AI projects fail when models cannot access data or fit workflows.

Engagement stages

AI assessment & delivery

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Assessment

AI Architecture Assessment

  • Operational and data-flow mapping
  • AI architecture integrated with operations
  • Build-vs-buy and self-hosted-vs-API recommendation
  • Prioritized roadmap with data-sensitivity guardrails
Build

AI Systems Build

  • Automation for targeted workflows
  • Private / self-hosted LLM deployment where required
  • Integration with your data sources and operations
  • AI monitoring and evaluation
Managed

Managed AI Operations

  • Performance and cost monitoring
  • Maintenance, tuning, and model updates
  • Extensions as needs change
  • Monthly impact and opportunity review

Start with the assessment

AI Architecture Assessment.