How Datadog's IT team automated account inactivity and SaaS spend management | Datadog (opens in new tab)

Datadog’s IT team built an automated system to identify inactive user accounts and reduce unnecessary SaaS spending. The approach replaces manual audits with data-driven workflows that detect inactivity, notify users or owners, and reclaim unused licenses while preserving access controls and accountability.

Automating Account Inactivity Detection

• The system monitors account activity across SaaS applications.
• It identifies users who have not logged in or used assigned tools for a defined period.
• Automated notifications give users or managers an opportunity to confirm continued business need.
• Accounts can then be suspended, deprovisioned, or escalated for review.

Managing SaaS Spend

• Inactivity data is used to find unused or underused licenses.
• IT can reclaim seats instead of continuing to pay for unused subscriptions.
• Usage information supports more accurate renewal and purchasing decisions.
• Centralized automation reduces the manual effort required to audit many applications.

Governance and Operational Benefits

• Standardized workflows make account reviews more consistent across tools.
• Automated approvals and escalation paths provide visibility into decisions.
• The process helps balance cost reduction with security and user access requirements.
• IT teams gain a repeatable way to manage the growing complexity of SaaS environments.

Organizations with substantial SaaS usage can apply the same model: centralize activity data, define inactivity policies, automate notifications and approvals, and connect the results to license reclamation and access-management workflows.