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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

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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