Apptio, an IBM company, announced new connections for leading frontier AI systems designed to help enterprises track AI costs and usage alongside broader technology spending. The company said the connections accompany expanded AI cost-management capabilities across its portfolio to help organizations forecast spending, evaluate costs against business results and decide which AI investments to scale.

Visibility Gap Cited in IBM Study

An IBM IBV study published in June 2026 found that 85% of surveyed technology executives reported they lack full visibility into real-time AI spending. According to the announcement, costs are spread across model providers, cloud infrastructure, applications and teams, creating a need for a clearer picture of what AI initiatives cost and which are delivering business value.

New AI Connections and MCP Servers

IBM is introducing direct native AI cost and usage connections for leading frontier AI systems across the Apptio portfolio. These connections are designed to help organizations incorporate AI consumption data into their broader technology financial management practices.

IBM is also introducing Model Context Protocol (MCP) servers designed to connect financial, operational, organizational and portfolio data with external AI tools, helping organizations bring technology into the environments where their teams work and make decisions.

AI-Assisted Analysis Across the Portfolio

IBM said it is expanding AI-assisted decision support across the product portfolio. Users can ask natural-language questions of their financial, cloud and portfolio data to surface drivers, risks and opportunities, which the company says helps reduce reliance on specialist users or manual navigation through reports.

IBM Cloudability

More comprehensive AI cost management and AI Insights in IBM Cloudability allow organizations to incorporate AI application costing as well as usage and token data alongside traditional cloud costs. Cloudability also supports AI and cloud unit economics and optimization of AI rates through commitment recommendations for hyperscalers' AI services, while financial planning capabilities can support forecasting and budgeting for AI costs. AI Assistant enables users to ask plain-English questions about cloud and AI spend and receive insights generated from their connected data.

IBM Apptio

Expanded AI capabilities in IBM Apptio include AI Assistant, AI Lens and AI Data Assistant, designed to accelerate analysis and automate data preparation. Expanded AI Economics capabilities provide deeper visibility into AI spend, total cost and usage. New AI Value & ROI capabilities are designed to help organizations connect technology investments with measurable business outcomes, while driver-based planning is designed to improve forecasting of variable spend.

IBM Kubecost

Enhanced Kubernetes network cost visibility in IBM Kubecost helps teams understand the network costs generated by their Kubernetes environments, with added detail for AWS NAT Gateway ingress and egress, cross-zone and cross-region traffic. Organizations can more easily investigate what is driving network spend and connect those charges back to the Kubernetes resources and traffic patterns behind them.

Executive Commentary

"AI investment is growing faster than many organizations can effectively govern and evaluate, and fragmented and outdated technology and AI data only adds to the complexity,“ said Eugene Khvostov, Chief Product Officer, IBM Apptio. ”We're expanding these capabilities across our portfolio to address these challenges head-on and give teams the technology financial intelligence they need to understand the economics of AI at the most granular and real-time level, make better decisions and direct investment toward the initiatives delivering the greatest value."
"Enterprises are investing aggressively in AI, but visibility into cost alone isn't enough. Leaders need to understand what they're spending, who owns it and, ultimately, what value the business is getting in return,“ said Tim Crawford, Founder and Principal Analyst, AVOA. ”By bringing together technology, financial and portfolio intelligence, Apptio is helping organizations create a more complete picture of their AI and broader technology investments to make better decisions."

Availability

  • AI system connectors are generally available, with connectors for additional sources planned for Q4.
  • MCP servers for IBM Cloudability (GA: Q4), IBM Apptio (GA: Q4), IBM Kubecost (GA: Q3) and IBM Targetprocess (GA: Q4).
  • IBM Cloudability support for AI Commitments available in Q3, with continued incremental support in Q1 and Q2 2027.
  • IBM Cloudability support for AI Unit Economics is generally available, with additional enhancements in Q4 2026 and incremental support in Q1 and Q2 2027.
  • IBM Cloudability Financial Planning for AI services is generally available.
  • IBM Apptio AI Assistant (Conversational Insights & Expert Guidance), AI Lens (Report Summarization) and AI Data Assistant are generally available.
  • IBM Apptio AI Value & ROI and AI Economics maturity journey via AI Spend, AI TCO & Usage enhancements are generally available as of November 6, 2026.
  • Driver-Based Planning will be generally available in Q4.
  • AI Scenario Planning will be available in Q4.
  • IBM Kubecost expanded network cost visibility is generally available to all product tiers.

About Apptio

Apptio, an IBM company, describes itself as a technology spend and value management software provider. The company says its AI-powered data insights are intended to help leaders make financial and operational decisions across IT, multi-cloud FinOps and digital product development.