Global Finance News
07 Aug 2026, 16:05
# IBM Launches Apptio AI Value & ROI to Help Enterprises Measure Returns on AI Spending
IBM (NYSE: IBM) has introduced Apptio AI Value & ROI, a new set of capabilities designed to help enterprises connect their growing artificial intelligence spending with measurable business outcomes.
The platform gives technology and finance executives a centralized view of AI initiatives, including token consumption and other costs, while tracking their impact across areas such as revenue, productivity, operating costs, speed and risk.
## IBM Targets Growing AI ROI Challenge
IBM is positioning the product around a major challenge facing companies investing heavily in artificial intelligence: determining whether that spending is actually producing sufficient financial and operational returns.
Apptio AI Value & ROI allows organizations to assign specific business metrics to individual AI projects, including cost savings, conversion rates, cycle times and incident volumes. Companies can then compare baseline, target and actual results to determine whether expected value is being realized.
The platform integrates with IBM Cloudability and Apptio AI TCO & Usage, allowing customers to incorporate token spending, technology infrastructure, usage and labor costs into their calculations.
This provides enterprises with a more complete view of both the total cost of an AI initiative and the business value it generates.
IBM cited Gartner research indicating that 84% of finance leaders have been unable to measure the return on investment from AI initiatives, highlighting the growing need for tools that connect AI adoption with financial accountability.
IBM Apptio AI Value & ROI is currently available in public preview for Apptio Costing Standard and Apptio AI TCO & Usage customers. General availability is planned for the third quarter of 2026.
The launch expands IBM's enterprise AI management portfolio at a time when companies are increasingly shifting their focus from simply adopting AI technologies toward demonstrating measurable returns from those investments.
IBM (NYSE: IBM) has introduced Apptio AI Value & ROI, a new set of capabilities designed to help enterprises connect their growing artificial intelligence spending with measurable business outcomes.
The platform gives technology and finance executives a centralized view of AI initiatives, including token consumption and other costs, while tracking their impact across areas such as revenue, productivity, operating costs, speed and risk.
## IBM Targets Growing AI ROI Challenge
IBM is positioning the product around a major challenge facing companies investing heavily in artificial intelligence: determining whether that spending is actually producing sufficient financial and operational returns.
Apptio AI Value & ROI allows organizations to assign specific business metrics to individual AI projects, including cost savings, conversion rates, cycle times and incident volumes. Companies can then compare baseline, target and actual results to determine whether expected value is being realized.
The platform integrates with IBM Cloudability and Apptio AI TCO & Usage, allowing customers to incorporate token spending, technology infrastructure, usage and labor costs into their calculations.
This provides enterprises with a more complete view of both the total cost of an AI initiative and the business value it generates.
IBM cited Gartner research indicating that 84% of finance leaders have been unable to measure the return on investment from AI initiatives, highlighting the growing need for tools that connect AI adoption with financial accountability.
IBM Apptio AI Value & ROI is currently available in public preview for Apptio Costing Standard and Apptio AI TCO & Usage customers. General availability is planned for the third quarter of 2026.
The launch expands IBM's enterprise AI management portfolio at a time when companies are increasingly shifting their focus from simply adopting AI technologies toward demonstrating measurable returns from those investments.
