Overview
AI applications create an operational need to understand consumption, estimated cost, reliability deviations and the actions required to correct them. When technical signals, ownership and operational records are disconnected, it becomes harder to control deviations and coordinate the response. Dynatrace combines AI Observability and OpenTelemetry GenAI with token, estimated cost, latency and error data. Davis AI, SLOs, anomalies and dashboards identify deviations, while Dynatrace Workflows or APIs can trigger ServiceNow. ServiceNow manages incidents, tasks, requests and changes, using ITAM/SAM for asset and license context, CMDB for ownership, and Flow Designer or IntegrationHub for applicable orchestration. The combined model connects technical visibility to documented operational execution, supporting cost and reliability control with less manual coordination. If AI or MCP governance is in scope, AI Control Tower/Gateway may add governance capabilities, subject to technical and commercial validation.
Highlights
- Visibility into AI application tokens, estimated cost, latency, errors and failures.
- Dynatrace Workflows or APIs can trigger ServiceNow actions, reducing manual handoffs between observation and execution.
- ServiceNow ITSM records, CMDB ownership and ITAM/SAM context support controlled corrective action and governance.
Details
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At Extreme Group, we are committed to providing exceptional support to our clients at every stage of their project. Our dedicated team of experts is available to answer any questions, provide guidance, and offer ongoing support during and after delivery. We value long-term relationships with our clients and are ready to assist them in resolving any challenges or issues that may arise. comercial@extremegroup.com.br
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