Financial operations are dominated by manual, repetitive tasks that hinder productivity and limit the strategic contributions of financial teams. While 82% of finance leaders express openness to adopting AI, there is a considerable challenge in accurately evaluating specific use cases and identifying the appropriate areas for AI adoption to ensure maximum impact and return on investment. 

High growth organisations possess a unique advantage in their inherent agility and leaner structures. Unencumbered by legacy systems, they can move faster, turning finance teams into drivers of growth. Despite AI's high potential, only 26% of companies manage to advance beyond the proof-of-concept stage to generate tangible economic value from their AI initiatives, with unclear ROI identified as a key barrier. High implementation costs, a lack of skilled talent, and ongoing challenges around data, security, and compliance also play a significant role. Moreover, evolving concerns around data security, privacy, and regulatory compliance, coupled with a fundamental lack of clear business alignment, frequently derail AI projects before they can deliver measurable ROI. 

This webinar hosted by the Financial Times, in partnership with Payhawk, explores the challenges faced by high growth organisations in identifying genuine, impactful use cases for AI providing insights on how a focused approach to pinpointing use cases for AI can be a key driver for successful adoption and sustainable growth in your organisation.

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The big picture, not just the individual strands of the business you work in

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New approaches and strategies to help win market share

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