Human mode

Capability 04

AI Observability & LLMOps

Bring visibility, control and operational excellence to AI applications.

Services included

  • AI observability architecture
  • LLM tracing and instrumentation
  • Logging and monitoring
  • Token usage and cost monitoring
  • Latency and performance optimization
  • Prompt management and versioning
  • Experimentation and deployment pipelines
  • LLMOps implementation
  • Model routing and gateway integrations
  • Production alerting and incident management

Business problems addressed

  • No trace from a user outcome back to prompts, retrieval, tools, and models.
  • Cost and latency discovered on the invoice instead of in the design.
  • Prompt and model changes with no history and no rollback.

Example enterprise use cases

  • Instrumenting a production copilot before it is widely released.
  • Standing up prompt versioning, experiments, and a deployment path.
  • Routing models through a gateway with budgets, fallbacks, and alerts.

Typical deliverables

  • Observability architecture.
  • Tracing, logging, and cost views tied to real requests.
  • Prompt management and a deployment pipeline.
  • Alerting and an incident path the team can actually run.

Engagement model
Managed AI Services

Related industry lines