Marketing is on the brink of a significant transformation as the emergence of Agentic AI—the latest class of autonomous systems—is set to redefine the landscape. Unlike traditional marketing automation that relies on predefined rules, Agentic AI can independently interpret goals, make decisions, and execute actions, effectively acting as a digital strategist around the clock. This paradigm shift from rule-based to goal-based intelligence promises to enhance marketing efficiency, creativity, and accountability.
For brands and agencies in India, the advent of Agentic AI signifies a fundamental shift in operational dynamics. Marketers may soon oversee intelligent agents capable of autonomously managing entire campaign cycles, from generating insights to optimizing performance. Rohan Chincholi, Chief Digital Officer at Havas Media India, notes that these capabilities are already being integrated into everyday workflows, with agentic systems analyzing performance signals across platforms and generating insights that would typically take teams days to compile.
“On the media side, Agentic AI is being deployed within a privacy-compliant environment to help us understand the competitive landscape for our clients,” Chincholi explains. He highlights the technology’s ability to aggregate campaign data, analyze performance, and identify optimization opportunities, thus enhancing the quality of insights over time.
Anindita Veluri, Director of Marketing at Adobe India, describes Agentic AI as a new operating model, emphasizing a shift from “How do we get more done?” to “What becomes possible when our teams focus on work that truly matters?” This evolution became evident during the Adobe MAX 2025 updates, where the company expanded its collaboration with Google Cloud to incorporate advanced models directly into tools like Firefly, Photoshop, and Premiere Pro.
Hyundai Motor India is also embracing AI-driven customer engagement, bolstered by its existing chatbot ecosystem. Virat Khullar, AVP and Vertical Head of Marketing, emphasizes the chatbot’s role in delivering “24×7, personalized, and seamless interactions” for customers. The chatbot engages over 100,000 customers monthly, driving significant improvements in sales and service while saving over Rs 10 lakh annually through AI efficiencies.
As these intelligent agents take on functions previously handled by humans, questions surrounding accountability emerge. Rajesh Jain, Founder and Group Managing Director of Netcore Cloud, acknowledges that while Agentic AI represents the future, the industry is still transitioning. “First there comes automation. The endgame is autonomy. But in the middle, you will have the human in the loop,” Jain states, likening the process to conversational AI platforms that seek clarification before executing tasks.
Within agency environments, these systems are becoming increasingly embedded in campaign management, particularly in areas that historically required extensive manual reporting. Chincholi highlights the immediate benefits of AI-driven reporting agents that pull data from multiple platforms, generating automated dashboards and insights through natural language queries. This reduces manual effort and allows teams to concentrate on strategy and decision-making.
Hareesh Tibrewala, CEO of Anhad Digital, points out that Agentic AI’s rise is fueled by technological advancements and market necessity. “On one hand, Large Language Models (LLMs) are becoming better, making Agentic AI a real possibility,” he notes. The demand for real-time engagement in marketing cycles is pushing brands to adopt more agile frameworks.
Srinivasan Subramani, VP of Growth & AI at CleverTap, emphasizes the early gains in lifecycle marketing due to AI’s ability to hyper-personalize customer communications. “The biggest impact of agentic AI will be its ability to hyper-personalize customer communication in a way that simply isn’t humanly possible,” he asserts. He envisions a future where each customer has a personalized engagement calendar shaped by their behaviors.
Experts believe that industries with complex operations and mature digital infrastructures will lead the next wave of Agentic AI adoption. Bharat Khatri, Chief Digital Officer at Omnicom Media, highlights how AI will aid in budget optimization and investment allocation, allowing for real-time analysis of signals. “This is similar to how automated programmatic buying works today but extends across more parts of the marketing workflow,” he explains.
Mayank Rausaria, Partner at Deloitte India, notes that readiness for Agentic AI adoption varies among enterprises. “The smarter approach is to assess readiness at a process level,” he advises. For Kedarswamy Ravangave, EVP of Marketing at Kotak Mahindra Bank, the essential component will be trust, which arises from clarity in AI operations.
As Agentic AI integrates into creative and operational workflows, questions about its potential to cannibalize jobs arise. Abhinay Bhasin, Senior Vice President at Dentsu India, believes that while AI might eliminate low-value tasks, it will not replace talented marketers. “The value shifts from controlling the levers to designing the levers, the rules, and the outcomes,” he states.
Agencies and brands are poised for a structural pivot as the integration of Agentic AI transforms roles within marketing teams. Das argues that these systems will not eliminate the need for human insight but will instead necessitate a shift toward more strategic functions. The agencies that succeed will likely merge technological capabilities with strategic insight, transforming into martech partners and customer lifecycle strategists.
In this evolving landscape, clarity, discipline, and data governance are paramount for brands looking to adopt autonomous marketing workflows. As companies navigate this shift, the focus will increasingly be on leveraging AI to enhance creativity and strategic thinking, rather than simply automating existing processes.
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