LLM and AI Observability on AWS

Inetum delivers an end-to-end consulting offering to observe, secure, and scale LLM and AI systems on AWS. By combining Dynatrace observability with AWS-native services, we provide full transparency across AI models, agents, data pipelines, and applications. Our approach enables organizations to control AI performance, costs, risks, and compliance, transforming AI into a reliable and business-critical capability.

The offer enables : • End-to-end observability for AI and LLM workloads on AWS, from prompts and agents to applications and cloud infrastructure ; • Performance and reliability monitoring, including latency, errors, saturation, and bottlenecks across RAG pipelines, multi model chains, and agentic architectures ; • AI cost governance, with detailed tracking of token consumption, cost per request, per model, and per application ; • Model and data drift detection, ensuring long-term accuracy, quality, and trust ; • Security, compliance, and guardrail monitoring, including full traceability of AI requests in regulated environments ; • Cloud and model provider flexibility, avoiding lock in while remaining fully compatible with AWS native services ; • Operational excellence, enabling rapid incident detection, root cause analysis, and continuous optimization.

Benefits : • Accelerate AI industrialization on AWS: Move from POCs to production grade, fully observable AI deployments with confidence ; • Control and optimize AI costs: Improve visibility and financial governance across LLM usage patterns ; • Deliver high performance and reliable AI services: Maintain fast, resilient, and high quality user experiences across business critical workflows ; • Reduce operational and business risk: Detect performance issues, drift, or anomalies before they impact production ; • Strengthen AI security and compliance: Ensure safe, auditable, and regulatory aligned AI operations on AWS ; • Support informed executive decisions: Provide clear metrics to evaluate AI value, risk, and business impact.

For who ? • Large Enterprises and Mid Sized Companies deploying AI / LLM use cases ; • Organizations running AI or LLM workloads on AWS ; • Highly regulated industries requiring security, auditability, and compliance ; • Enterprises requiring cost governance for LLM usage ; • Companies building AI driven customer or internal services.