AI's Impact on Sales Forces
During the recent Club Action Co event in Paris, industry experts gathered to discuss the transformative effects of artificial intelligence (AI) on sales forces. The discussions revealed that AI not only enhances tools but also sheds light on pre-existing challenges such as the quality of commercial execution and data management.
Shadow AI: A Governance Challenge
One of the key topics was the emergence of 'shadow AI', a phenomenon where sales personnel use unofficial AI tools. This practice introduces significant governance and performance risks. As one expert noted, "There is a lot of shadow AI," highlighting the need for better oversight and control.
Data Quality: A Critical Concern
The discussions underscored the importance of data quality in AI applications. Poor data can lead to amplified errors, as emphasized by the statement, "If your initial data isn't good, it will amplify the error." This highlights the necessity for organizations to ensure robust data management practices.
Efficiency Gains in Sales Processes
AI's efficiency gains are primarily observed in the preparation and follow-up phases of sales processes, rather than in the act of selling itself. Frédéric Gondolo, Director of Sales and Customer Relations at Les Echos-Le Parisien, and Bernard Nassiri, Group Operations and Commercial Mid Market Director at Coface, both noted significant productivity improvements in these areas.
Hidden Costs of AI Integration
Another critical point raised was the hidden costs associated with the organizational transformation required to integrate AI. As one participant put it, "The real cost isn't the module, it's the entire transformation." This highlights the need for companies to be aware of the broader implications of AI adoption.