Agentic AI: The Next Step For Enterprise AI And Why It Matters

Forbes - Apr 28th, 2025

Leslie Lee, Head of Product at Squid AI, emphasizes the transformative potential of agentic AI in the enterprise sector. Unlike traditional AI solutions that primarily serve as chatbots, agentic AI seamlessly integrates with enterprise systems to automate workflows and apply business logic, thereby transforming AI from a support tool into an operational workforce multiplier. This innovation addresses the common issue of AI projects stalling in pilot phases due to lack of measurable business impact. By enabling AI to take action on enterprise data, agentic AI helps businesses achieve tangible value and substantial cost savings.

The broader context of this development is the rapid acceleration in AI adoption and the projected $200 billion global investment in AI by 2025. Despite this growth, challenges such as data readiness, security, and compliance slow AI adoption. Many enterprises face fragmented data environments, where data remains siloed across departments and systems, limiting AI's optimization potential. Agentic AI tackles these challenges by integrating directly into enterprise workflows and ensuring compliance with security policies. However, enterprises must overcome resistance to change and regulatory concerns to fully leverage agentic AI's benefits, thereby turning it into a lasting advantage.

Security Automation Ai Adoption Agentic Ai Leslie Lee Squid Ai Enterprise Data Data Integration LLM Cloud Product Management

Story submitted by Fairstory

RATING

6.2

Moderately Fair

Read with skepticism

The article provides a clear and informative overview of agentic AI, focusing on its potential benefits for enterprise operations. It effectively communicates the challenges of AI adoption, particularly regarding data readiness and integration. However, the piece could benefit from more balanced perspectives, including potential downsides and broader societal implications. The reliance on Squid AI as a primary source introduces potential bias, and the lack of diverse citations weakens the overall credibility. Despite these limitations, the article remains timely and relevant, offering valuable insights for business leaders and technology professionals interested in AI advancements.

Accuracy

The story presents several factual claims, many of which align with available information, but some require further verification. Leslie Lee's role and experience are mostly accurate, though the '20 years' assertion might be slightly overstated. The projected $200 billion global AI investment by 2025 is consistent with industry trends, but lacks direct attribution. Claims about agentic AI's capabilities align with Squid AI's stated goals, yet specific examples, such as financial institutions' use, are not directly supported by sources. Overall, the article's accuracy is solid, but some claims need more precise sourcing or verification.

Balance

The article predominantly presents a positive perspective on agentic AI, highlighting its potential benefits. However, it lacks a balanced view by not sufficiently addressing potential downsides or challenges beyond data readiness and security concerns. The narrative could be more balanced by including voices from skeptics or those who have faced difficulties with AI integration. This omission suggests a slight bias towards promoting the advantages of agentic AI without fully exploring the broader context or alternative viewpoints.

Clarity

The article is well-structured and uses clear language to convey its points. It logically outlines the benefits of agentic AI and the challenges of AI adoption, making it accessible to readers with varying levels of familiarity with the subject. The tone remains neutral, avoiding technical jargon, which aids comprehension. However, the inclusion of more detailed examples or case studies could further enhance clarity by illustrating the concepts discussed.

Source quality

The article references general industry trends and projections but lacks specific citations or diverse sources. It primarily relies on statements from Squid AI, which could introduce bias. The absence of third-party expert opinions or independent studies weakens the credibility of the claims. While Squid AI's insights are relevant, the piece would benefit from a wider range of authoritative sources to substantiate its assertions and provide a more comprehensive view.

Transparency

The article provides a clear narrative about agentic AI but lacks transparency in its sources and methodologies. It doesn't disclose the basis for its financial projections or the specific studies or reports supporting its claims. Additionally, there is no discussion of potential conflicts of interest, such as the author's relationship with Squid AI or any vested interests. Greater transparency about the sources of information and potential biases would enhance the article's credibility.