What's Happening?
A report by Thomson Reuters reveals that only 18% of professional service organizations track the return on investment (ROI) for their AI tools. Despite widespread use of generative AI, most firms focus on internal metrics such as cost savings and employee
satisfaction rather than external business performance. The report highlights that while AI adoption has increased, measurement frameworks are still catching up, with firms prioritizing metrics that are easier to quantify. The survey also notes varying client expectations regarding AI use, with some clients directing firms on how AI should be applied.
Why It's Important?
The lack of comprehensive ROI tracking for AI tools in professional services indicates a gap in understanding the full impact of AI on business performance. As firms increasingly rely on AI for tasks like research and document summarization, the ability to measure its effectiveness in generating new business and improving client satisfaction becomes crucial. This gap may hinder firms from fully leveraging AI's potential to enhance service quality and drive growth. The report suggests that as AI becomes more integrated into workflows, firms will need to develop better measurement frameworks to capture its external impact.
What's Next?
As AI continues to be adopted across professional services, firms are expected to refine their measurement frameworks to better capture external ROI metrics. This may involve developing new tools and methodologies to assess AI's impact on client satisfaction and revenue generation. The report anticipates that as AI becomes embedded in core workflows, firms will increasingly focus on external outcomes, potentially leading to more strategic use of AI in enhancing service delivery. The evolving landscape of AI in professional services will require ongoing adaptation and innovation to meet client expectations and drive business growth.
