From hype to reality: Enterprises put focus on business outcomes of AI investments

As businesses worldwide grapple with Artificial Intelligence (AI), the focus has shifted from mere experimentation to demonstrating clear return-on-investment (ROI). Recent developments, including Microsoft's decision to limit access to specific AI coding tools due to rising costs, highlight the urgency for enterprises to justify their substantial investments in AI technologies such as copilots, chatbots, and generative AI solutions. After nearly two years of testing various AI applications, organizations are entering a critical phase where the emphasis is on delivering measurable results. This transition is evident in the consulting and enterprise technology sectors, where CFOs are now demanding tangible business outcomes before approving significant AI expenditures. Andy Baldwin, Senior Vice President of Offerings & Growth at IBM Consulting, noted that clients are increasingly looking for a proven roadmap to ROI rather than just engaging in trial projects. Initially, enterprises approached AI through proof-of-concept initiatives, often investing millions across multiple pilots to discover which applications yielded value. However, this strategy is evolving into a focus on outcome-based deployment, particularly within finance, human resources, procurement, and software development. According to Baldwin, clients are now asking for specific improvements, such as reducing costs in finance processes or enhancing sales effectiveness, and they expect to be compensated for achieving these outcomes. This evolution represents a significant transformation for the consulting industry. Traditionally, technology consulting firms operated on input-based models, where compensation was linked to manpower and project execution. The rise of AI is prompting a reevaluation of this model, as enterprises seek shared accountability for productivity enhancements. Baldwin emphasized that large organizations are increasingly pushing consulting firms and major tech partners, like Microsoft and AWS, to enter contracts directly tied to defined business results. This shift indicates a profound change in the consulting landscape, as firms transition from providing personnel to delivering measurable outcomes. CFOs across various organizations are expressing hesitation to authorize substantial investments without a clearer understanding of the expected ROI. Moreover, the demand for AI-driven efficiencies is reshaping revenue models within the IT services sector. Areas such as application management and business process outsourcing, once reliable revenue streams for large tech firms, are now being optimized through automation and AI-enhanced workflows. Consequently, while AI transformation projects are generating new business opportunities, traditional services are experiencing slower revenue growth as companies seek to capitalize on the productivity gains from automation. For enterprises, the race in AI has moved beyond merely adopting the latest technologies; it has become a quest for proving that these advancements can deliver concrete business value.