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An array of innovative technologies is revolutionizing the capabilities of BPR&A, exemplifying the transformative shift in the role of the CFO. Utilizing these technologies and financial technology enables finance executives to significantly enhance both the conventional elements of BPR&A, such as regulatory compliance and financial reporting, and the generation of value-added, data-driven insights to an extent that was once thought impossible.
However, AI-enabled reporting and planning don’t work unless decision-makers understand the cause-and-effect models behind organizational outcomes and agree to them. This understanding is crucial for ensuring that insights derived from AI are actionable and relevant to the organization's strategic goals. Without a shared comprehension of how various factors influence outcomes, the potential of AI in enhancing decision-making can be undermined.
CFOs most adept at harnessing this innovation are those who comprehend the necessary scope of change: streamlining planning and reporting processes with emerging technologies, revisiting organizational models, and addressing talent requirements to drive long-term value.
“Finance professionals have been engaged in BPR&A tasks for years, and the inquiries that CFOs seek to address today frequently mirror those of the past: What’s my market position? Am I meeting or falling short of my objectives?” explains Kevin Brown, EY US Principal, Consulting Services and Life Sciences Technology Lead. “However, these tasks are no longer suited for manual labor; they’re prime candidates for automation and AI. The use of emerging technology opens doors for CFOs to allocate their time toward expanding the boundaries of what can be achieved — to investigate, measure, and delve into more innovative opportunities.”
Moreover, AI-powered forecasts don’t work unless decision-makers trust them and are willing to be accountable for targets set with AI help. Building this trust requires transparency in how AI models generate forecasts and a commitment from leadership to integrate these insights into their decision-making processes.