Enhance Your FinOps Results with Agentic AI Tools

Torque executes the provisioning of cloud infrastructure, monitors that infrastructure, and can perform actions to modify the state of live infrastructure at any point.

Torque’s role in the infrastructure lifecycle provides a unique opportunity to implement FinOps principles into the day-to-day operation of infrastructure, while providing visibility and reporting to identify new savings opportunities.

To implement FinOps principles, Torque’s custom policies can automatically deny the launch of any infrastructure that violates the user’s unique standards. Examples include policies denying specific cloud instance sizes or types and setting thresholds on maximum runtimes, concurrent identical infrastructure services, or maximum expected costs.

Torque’s AI tools also act as a FinOps assistant for engineering teams. For example, Torque’s AI tools identify actively deployed cloud resources that are sitting idle and calculate the wasted costs for those resources so infrastructure admins can terminate them rapidly.

As a result, FinOps teams can expect increased cloud cost savings due to increased efficiency in the operation of cloud infrastructure among their teams.

Torque continuously monitors deployed environments and provides detailed visibility into resource usage, cost trends, and idle infrastructure.

Using Torque’s cost dashboards, FinOps teams can track month-to-date cloud costs to the teams, users, and environments responsible so they can eliminate waste proactively

Yes. Torque supports policy-as-code to enforce cost control rules—such as environment auto-expiration, tagging requirements, and restrictions on over-provisioned resources. These policies can be applied globally or scoped to specific teams or workloads.

Yes. Since Torque executes the provisioning of infrastructure, the platform can apply tags to that infrastructure as it is provisioned.

Torque provides a simple form for provisioning infrastructure, which includes a restricted pick-list of tags that are defined by administrators from which users can select the appropriate tag when deploying an environment. Admins can also set default tags so users can deploy environments quickly and easily, without stopping to set the tag themselves. This eliminates the risk of missing or incorrect tags to improve accuracy and detail on FinOps reporting tools.

Torque also monitors the state of live infrastructure and can apply new tags, so users can update tags if needed without having to shut down and re-deploy the workload.

With environment-level cost tracking and usage history, Torque enables FinOps teams to analyze spend by team, project, or environment blueprint. These insights improve forecasting accuracy and help align cloud costs with business budgets.

Torque tracks environment usage and resource consumption at the team or user level, making it easier to implement chargeback or showback processes. FinOps teams can generate reports that attribute costs back to the appropriate business units.

Yes. While Torque integrates with Terraform, it abstracts much of the complexity through reusable blueprints and workflows. This enables FinOps and platform teams to monitor, govern, and optimize infrastructure without writing IaC themselves.

Yes. Torque integrates with major cloud providers (AWS, Azure, GCP) and provides a unified layer for environment governance, cost tracking, and policy enforcement across clouds, supporting FinOps visibility and control in heterogeneous environments.