

Move from recommendations to action with enterprise-grade automation across cloud, data, and AI.

Automation converts insights into action by applying policies, assigning ownership, and executing approved cost controls automatically.

FinOpsly identifies optimization opportunities across cloud, data, and AI workloads by detecting inefficiencies such as unused resources, runaway queries, or excessive compute usage.

Each identified cause is mapped to predefined policies that determine how actions should run automatically, with approval, or via ITSM workflows based on risk and sensitivity.

Actions are executed through controlled automation paths to resize infrastructure, pause workloads, or limit compute usage with full visibility, explainability, and auditability.
Move from reactive cost management to proactive, policy-driven automation across cloud, data, and AI workloads.
Manual monitoring and human-driven intervention
Continuous, policy-driven automation
Teams watch dashboards and alerts
Agents detect issues and trigger action automatically
Reactive response after impact occurs
Proactive, just-in-time intervention
High operational overhead
Scales across teams without added effort
Error-prone and inconsistent execution
Explainable, repeatable, and auditable actions
Requires constant human oversight
Automation with guardrails and rollback
Difficult to extend beyond cloud
Full-stack automation across Cloud (AWS, Azure), Data (Snowflake), and AI workloads
Manual monitoring and human-driven intervention
Teams watch dashboards and alerts
Reactive response after impact occurs
High operational overhead
Error-prone and inconsistent execution
Requires constant human oversight
Difficult to extend beyond cloud
Continuous, policy-driven automation
Agents detect issues and trigger action automatically
Proactive, just-in-time intervention
Scales across teams without added effort
Explainable, repeatable, and auditable actions
Automation with guardrails and rollback
Full-stack automation across Cloud (AWS, Azure), Data (Snowflake), and AI workloads
