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  • Enterprise AI

Apptio Launches FinOps Tools for AI Cost Control


Apptio Launches FinOps Tools for AI Cost Control
  • by: Source Logo
  • |
  • November 4, 2025

As enterprises accelerate AI development, IT leaders are under increasing pressure to manage escalating costs effectively. IDC estimates that enterprise investments in AI infrastructure will reach $571 billion globally in 2026. Yet, according to an Apptio study, 55% of business leaders surveyed say they lack the information needed to evaluate technology spend effectively. FinOps provides an operational framework to address these challenges by empowering organizations with real-time visibility, financial accountability and management of cloud costs, maximizing business value and collaboration.

Quick Intel

  • Apptio unveils FinOps solutions to tackle AI-driven cloud cost challenges and enhance visibility.
  • Cloudability Governance integrates with HashiCorp Terraform for proactive cost compliance in multi-cloud setups.
  • Kubecost 3.0 advances Kubernetes cost management with unified resource views and savings recommendations.
  • Features include AI-powered anomaly detection, GPU optimization, and infrastructure provisioning policies.
  • Solutions enable predictive cloud spend control, reducing waste and supporting strategic AI investments.
  • Available now, with demos at TBM Conference and KubeCon North America.

Addressing AI Cost Challenges with FinOps

Generative AI is not only pushing the limits of cloud infrastructure; it's challenging the ability of technology and business leaders to make informed decisions and evaluate tech spend ROI. The AI era is one of information and compute-power overload. So, it's imperative for organizations to gain control over their cloud and data estate. That's the first step in harnessing the AI opportunity and exactly what our new FinOps solutions are designed to address – proactive, and predictive cloud cost management.

Cloudability Governance: Proactive Control Across Multi-Cloud Environments

Infrastructure as Code helps teams scale cloud infrastructure with speed and consistency. But without FinOps alignment, there can be financial blind spots—where teams deploy at speed but may lack insights into the financial impact of their infrastructure decisions. Backed by Cloudability and now integrated with HashiCorp Cloud Platform (HCP) and Hashicorp Terraform, Cloudability Governance is specifically designed to empower FinOps teams with greater control over cloud infrastructure deployments by automating cost compliance monitoring and applying defined organizational policy – all within the engineering workflow. This includes reliably scaling infrastructure using infrastructure as code, with centralized state management, secure execution, and team collaboration to reduce risk and accelerate delivery across complex cloud environments.

Enacting Informed Policies for Infrastructure Provisioning

Enact informed policies for infrastructure provisioning with built-in checks that guide or enforce best practices like ensuring the correct organizational tags are applied. Integrate personalized cost estimates and financial guardrails to help teams make informed, proactive decisions and stay aligned with budgets before deployment. Control cloud spend with near real-time visibility into actual cloud costs after deployment and AI-powered recommendations to uncover opportunities to address waste, even ahead of deploying infrastructure. Detect anomalies, track spend against expectations and validate infrastructure decisions based on detailed billing data—helping teams stay accountable and optimize their cloud investments.

Kubecost 3.0: Setting a New Standard for Kubernetes Cost Management

Kubecost 3.0 represents the most advanced evolution of Kubernetes cost management to date, built to help enterprises tackle the complexities of managing their Kubernetes environments at scale. With this latest version, Kubernetes teams gain access to enhanced tools for unified resource management that provide a comprehensive view across clusters, streamlining cost allocation and resource utilization. Advanced savings recommendations enable precise identification of opportunities to optimize usage and eliminate inefficiencies.

Comprehensive Savings and Scalability in Kubecost 3.0

Comprehensive savings recommendations feature automated container right-sizing, advanced GPU monitoring and optimization powered by NVIDIA's DCGM exporter, and enhanced node group sizing insights. These new capabilities were built for teams to quickly identify inefficiencies and take action to address costs across all workloads. Enhanced capabilities for scalability and security help ensure that organizations can grow their Kubernetes deployments while prioritizing security and operational control in even the most complex cloud environments.

Cloudability Governance integration with HCP and Terraform Enterprise is available today in public preview. Kubecost 3.0 is generally available now. Apptio will demonstrate the new solutions at the annual TBM Conference and at KubeCon North America (Booth 800), showcasing how organizations can leverage FinOps for strategic business advantage. To learn more about Cloudability Governance, Kubecost 3.0, and how Apptio is transforming FinOps for the AI era, visit the Apptio Innovation Hub.

About Apptio, an IBM Company

Apptio, an IBM company, is a leading technology spend and value management software provider. Apptio's AI-powered data insights empower leaders to make smarter financial and operational decisions across Information Technology (IT), multi-cloud FinOps, and digital product development. Apptio's mission is to deliver business value with every technology investment and team. Powered by Apptio's cloud platform, Apptio's SaaS applications help translate technology spend into clear business outcomes and financial ROI. As a pioneer and category leader in Technology Business Management (TBM), FinOps, and Agile Portfolio Management, Apptio works with thousands of customers, partners, and community members worldwide.

  • Cloud Cost ManagementAI Infrastructure
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