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Industry leaders on maximizing AI ROI

SAP Concur's CFO Insights Series article 'Solving the ROI Puzzle' combines research and finance-leader input on how businesses can measure and maximize AI returns. It says 51% of finance leaders are investing in AI, and measuring ROI requires understanding the challenges of defining returns, using nontraditional performance indicators, and recognizing long-term human benefits. It cites McKinsey's estimate that about 75% of generative AI's total value comes from customer operations, software engineering, R&D, and marketing and sales.

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Impact and considerations

For finance and travel-expense managers evaluating AI investments, the article offers a framework for measuring returns, including non-financial metrics and long-term human benefits, helping set realistic investment expectations.

Key points

  • The article says 51% of finance leaders report investing in AI.
  • Challenges in measuring AI ROI include defining returns, upfront tech infrastructure and workforce training costs, and data gathering and cleansing costs.
  • Common traits of high achievers include ensuring high-quality data, tracking performance and adapting, and using strong security, privacy, and governance measures.
  • The article suggests nontraditional metrics such as quality improvement, fraud reduction, innovation, and improved compliance, plus workforce retention and recruitment trends.
  • It cites McKinsey's estimate that about 75% of generative AI's total value comes from customer operations, software engineering, R&D, and marketing and sales.

Sources and time

Primary source
SAP Concur
Other sources
0
First source publication
10 Jul 2024, 00:06
Page published
14 Aug 2026, 08:14
Last updated
10 Jul 2024, 00:06
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