Agentic AI is rapidly emerging as a potential new phase of enterprise artificial intelligence. As organizations move beyond experimentation, many technology leaders are exploring whether autonomous AI systems can deliver the next wave of digital transformation.
Recently, on the iTNews Asia Thought Leaders Podcast, Anoop Sagoo discussed how agentic AI could reshape enterprise operations. According to Sagoo, the shift from traditional AI tools to autonomous agents marks a major evolution in enterprise AI deployment. Unlike earlier models, agentic AI systems can perform tasks independently, interact with other systems, and collaborate with humans. As a result, these agents execute workflows, automate decisions, and manage complex operational processes.
For enterprises, this capability opens new opportunities to scale productivity and operational efficiency. Organizations are already experimenting with agentic AI in areas such as customer support automation, data analysis, workflow orchestration, and digital operations management. In these environments, AI agents can handle repetitive or data-intensive tasks while human teams focus on strategy and higher-level decision-making.
However, adopting agentic AI also introduces new risks. Governance frameworks, security controls, and clear accountability structures are critical when autonomous systems begin interacting directly with business processes. Without these guardrails, organizations risk taking unintended actions, experiencing compliance failures, or facing operational disruptions.
Therefore, industry leaders stress that scaling agentic AI requires careful planning. First, companies must identify where autonomy creates the most value. At the same time, they must establish clear oversight mechanisms and policy boundaries. Despite these challenges, many experts believe agentic AI could define enterprise transformation within the next three to five years. Ultimately, the question is no longer whether AI will transform operations, but how quickly organizations can adapt to the agentic AI era.
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For what comes next, see the 2026 agentic AI trends, why 2026 may be the year of the agentic AI intern in enterprise software, and the 4 new roles leading the agentic AI revolution.
Caution is warranted: Gartner warns vendors on trust and risk, and an agentic AI market correction is underway as supply outpaces demand.
Adoption data backs this up: 60% of enterprise AI agents operate in IT, and insurers are increasing AI investment despite skills gaps, though success depends on the 7 data skills every enterprise needs in the AI agent era.
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About The Author
CEO & Founder, Eastgate Software
Ha Bui is the CEO and Founder of Eastgate Software. Since 2014, he has led the company's 12+ year engineering partnerships with Siemens Mobility and Yunex Traffic, building a 200+ engineer organization that delivers mission-critical ITS, FinTech, and enterprise software to German engineering standards.
