Generative AI’s ability to automate tasks and personalise workflows promises significant individual productivity gains. Yet, these benefits often remain siloed, failing to translate into broader organizational improvements.
An employee may use generative AI to craft reports in minutes and automate repetitive tasks. While impressive, the efficiency gained might not impact colleagues unless directly shared.
Combining ONA with Generative AI
Imagine an organization as a complex web of relationships, not just the neat lines on an organizational chart. This web, invisible to the naked eye, holds the key to understanding how information flows, decisions are made, and innovation thrives.
Organizational Network Analysis (ONA) has traditionally acted as a method to reveal the hidden connections that shape your company’s success. But ONA, while powerful, has its limitations. Data collection can be tedious, analysis time-consuming, and insights often remain hidden in complex reports.
However, implementing AI in ONA can help improve the process a lot better.
3 Ways AI Can Help Transform ONA
1. Seeing the Unseen: AI can help organisations analyze not just connections but also the actual content of communication (emails, chats, etc.) between employees. By so doing, the company unveils hidden sentiments, collaboration patterns, and even the formation of invisible communities around shared interests or concerns.
2. Predicting the Future: Generative models can learn from network dynamics and predict future trends. This would empower companies to anticipate potential conflicts, identify the next knowledge hubs, and even predict how information will spread within the organization.
3. Tailoring Insights and Actions: Generative AI can translate complex ONA results into personalized recommendations for individuals and teams. This way, employees would be able to receive tailored suggestions for improving collaboration, finding potential mentors, or bridging communication gaps.
