Centralize human and agentic work with Datadog Work Management

Datadog Work Management, formerly Case Management, centralizes operational work that is often fragmented across alerts, chat threads, tickets, and AI-agent activities into auditable work items containing telemetry, ownership, status, approvals, artifacts, and history. It integrates with Datadog products including Monitors, Cloud SIEM, Error Tracking, Incident Management, Workflow Automation, and AI agents, while synchronizing with external tools such as Slack, GitHub, Jira, Linear, and ServiceNow. For incident response, alerts can automatically generate work items, preserve Slack discussions, escalate into incidents, and create linked follow-up tickets; for development, AI agents can clarify feature requirements, generate GitHub pull requests, and operate under human approval controls; and for security, Cloud SIEM signals can create cases that support investigation, automation, remediation, and caseload analytics. Custom work types, statuses, kanban views, automation rules, and multiple creation interfaces allow SRE, development, and security teams to retain their existing processes while maintaining a shared record from detection or request intake through resolution.

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