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AI Center of Excellence

Confidently design, deploy, and operate AI at scale. The Dynatrace AI Center of Excellence (AI CoE) helps organizations ensure AI initiatives stay observable, reliable, and safe—from strategy to production.

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To gain our customers' trust, we're going after ISO 42001 certification. Dynatrace’s AI observability helps us to meet a lot of those control requirements because of the insight it provides into LLMs and their behaviors.
Matt Eisengruber Head of Architecture, CDL

What is the AI Center of Excellence?

A customer‑focused advisory and innovation hub helping organizations adopt trustworthy, agentic AI.

  • AI strategy

    Clarify priorities, success metrics, and high‑impact use cases

  • Reliable AI at scale

    Make AI observable end to end to catch failures, cost spikes, and compliance risks

  • Integrate AI systems

    Integrate Dynatrace across models, prompts, data, and pipelines for real‑time decisions

  • Hands‑on innovation

    Walkthroughs, workshops, and collaborative sprints to move ideas into production—fast

AI strategy and executive alignment

AI adoption is as much a business challenge as it is a technical one. The AI CoE works with customer leaders to:

  • Clarify AI priorities and success metrics
  • Understand where AI can create the most impact
  • Align AI investments with business outcomes like resilience, productivity, and risk reduction

This includes executive briefings and strategic conversations focused on how AI fits into the broader technology and business roadmap.

Use case1 AI strategy and executive alignment

Making complex AI systems observable and reliable

Modern AI systems, especially agentic and generative AI, are non-deterministic, multi-layered, and harder to control. The AI CoE helps customers:

  • Observe AI workloads, pipelines, and agents
  • Gain end-to-end visibility across models, prompts, data, infrastructure, and downstream services
  • Detect failures, performance issues, cost spikes, and compliance risks early

This ensures AI systems are not just innovative, but production-ready and trustworthy.

Usecase2 Making complex AI systems observable and reliable

AI ecosystem integration

Customers operate within diverse AI ecosystems—hyperscalers, LLMs, DevOps, ITSM, and productivity agents. The AI CoE helps them:

  • Integrate Dynatrace as part of their broader AI and agent ecosystem
  • Operationalize AI by connecting workflows with Dynatrace observability, cloud platforms, DevOps pipelines, and operations, ensuring decisions are driven by real‑time, contextual data
  • Establish Dynatrace as the central source of truth across AI‑driven environments

This ensures AI is managed as an integrated part of their overall digital operations.

Usecase3 AI ecosystem integration

Hands-on acceleration and innovation

For organizations ready to go deeper, the AI CoE supports practical, hands-on engagement, including:

  • AI and agentic solution walkthroughs and demonstrations
  • Technical workshops
  • Collaborative innovation initiatives (such as AI workshops or hackathon-style engagements)

These experiences help teams learn faster, reduce trial-and-error, and move confidently from idea to execution.

Usecase4 Hands on acceleration and innovation

Our workshops

Build practical skills with hands‑on Dynatrace workshops. Explore our core sessions or request a custom workshop tailored to your team.

  • AI Observability

    Gain insights into the performance of an agentic AI app using OpenLLMetry. This workshop not only demonstrates best practices to monitor an agentic AI app, but also shows how to collect key data metrics, including token costs.

    Tools used:     Langchain, Langgraph, Dynatrace, OpenLLMetry

  • AI Observability

    Build an agentic AI app to learn how combining telemetry data and a customer knowledge base can help heal application deployments, and how MCP servers and APIs bring internal and external data into the app to accelerate remediation.

    Tools used:     n8n, Github, Dynatrace MCP server, Jira MCP server, LLM model

  • Auto-gen Dynatrace Dashboards

    Using System Prompts in IDE, this workshop showcases the power of Github CoPilot along with Dynatrace MCP server to auto-generate Dynatrace dashboards.

    Tools used:     VSCode, Github CoPilot, Dynatrace MCP Server

  • AWS DevOpsAgents in Action with Dynatrace

    Discover the power of using Dynatrace Davis AI along with AWS DevOpsAgents to not only identify the root cause of an issue, but also isolate the specific configuration changes that caused the issue in the first place.

    Tools used:     Dynatrace, AWS DevOpsAgent

Request a workshop

AI promises speed and innovation, but without observability and integration, it also introduces risk

The Dynatrace AI Center of Excellence helps customers move forward with confidence by ensuring their AI initiatives are:

  • Observable: fully transparent across models, agents, and systems
  • Integrated: connected to the broader technology ecosystem
  • Operationalized: ready for real-world production at scale

The result: Faster innovation, reduced risk, and measurable business value from AI.

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