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Agentic AI Is Transforming Enterprises—Here’s Where To Start
As enterprises embark on their journey with Agentic AI, it’s essential to prioritize the right approach and strategies for successful adoption. While the potential benefits of AI-driven automation are undeniable, there are significant concerns about trust, data governance, and ethical oversight that must be addressed from the onset.
Firstly, organizations need to acknowledge the importance of implementing robust data governance and transparency measures throughout their AI initiatives. This includes understanding the origin of the data used in Agentic AI models, as well as ensuring compliance with regulatory requirements. Moreover, continuous training and development are crucial for successful adoption, as employees require upskilling and reskilling to adapt to this emerging technology.
A recent Prosper Insights & Analytics survey underscores the need for organizations to prioritize transparency and accountability. A staggering 40% of executives believe AI needs human oversight, while a further 30% emphasize the necessity for more disclosure on data usage. To build trust in Agentic AI models, businesses must implement robust measures that ensure the accuracy, reliability, and organizational trustworthiness of insights generated by these systems.
Moreover, organizations must be cautious not to rush ahead with the adoption of Agentic AI without a comprehensive plan in place. Bansal warned against falling prey to “Agentic AI debt” – poorly integrated, unmanaged AI agents that become a burden rather than a benefit. Emphasizing data management and training more deeply, along with developing rules within which the agent gets access to data, will foster greater trust in Agentic AI and improve control over the information available to the agent.
As organizations continue to explore the vast potential of Agentic AI, it’s essential to prioritize ethical oversight and governance from the start. This includes implementing due diligence on data vendors and applications used, focusing on data management and maintenance, transparency, fairness, and accountability to mitigate any potential biases.
Source: https://www.forbes.com/sites/garydrenik/2025/04/10/agentic-ai-is-transforming-enterprises-heres-where-to-start/
