AI is moving beyond recommendations into fully autonomous enterprise operations. In this exclusive interview, Sagar P.V., CTO of Mindsprint, explains the potential of Agentic AI, highlighting industry leaders in adoption, emerging cybersecurity and governance risks, and actionable advice for CIOs seeking to embed autonomous intelligence into their organizational workflows.
Q: How do you see the rise of Agentic AI, and what sets it apart from conventional AI in enterprise cases?
A: Agentic AI represents the next frontier in how businesses use artificial intelligence. While traditional AI has been incredibly valuable, it is limited to providing predictions or recommendations, leaving humans to take the next step. Agentic AI changes that dynamic by not only analysing but also planning, deciding, and executing multi-step tasks end-to-end.
It continuously observes its environment, adapts to new information, and works seamlessly across systems to deliver results with minimal human intervention. For enterprises, this translates into a step-change in efficiency—problems solved in real time, teams freed from routine but complex work, and even highly unpredictable situations navigated with confidence. More than automation, Agentic AI is a pathway to reimagining how the modern enterprise operates.
Q: Which major verticals are leading the adoption of Agentic AI and why?
A: The early adoption of Agentic AI is strongest in industries that are both data-intensive and operations-heavy, where speed and accuracy directly impact outcomes. Sectors like financial services, healthcare, retail & e-commerce, and manufacturing are at the forefront. In manufacturing and supply chain, it is used to predict disruptions, trigger corrective actions, and coordinate production with minimal human intervention. In healthcare and life sciences, it helps with clinical trial optimization, patient engagement, and administrative automation, freeing up professionals to focus on care. These industries are leading because they face high complexity, large-scale data flows, and the need for autonomous decision-making at speed. Agentic AI provides exactly that edge.
Q: What cybersecurity risks or governance concerns do you foresee with Agentic AI deployments?
A: With Agentic AI, the promise of autonomy also brings new layers of cybersecurity and governance risk. Traditional AI risks like data privacy, bias, and explainability remain, but Agentic AI introduces challenges around autonomous action, system access, and accountability. Since agents can take real-time actions across enterprise systems, they become high-value targets. Risks include unauthorized escalations of privilege, adversarial attacks that manipulate agent behaviour, or malicious agents masquerading as legitimate ones. Securing the agent’s decision logic, audit trails, and system integrations will be critical.
Enterprises need clarity on who is accountable when an AI agent makes a decision or takes an action. Guardrails such as human-in-the-loop checkpoints for high-stakes decisions, transparent logging, and continuous monitoring frameworks will be essential. Enterprises don’t just need AI governance anymore- they need autonomy governance.
Q: One piece of advice you’d offer to CIOs planning to integrate Agentic AI into their digital roadmap?
A: My advice to CIOs is to start with business outcomes, not technology features. Agentic AI is powerful, but its value emerges only when mapped to the right use cases—where autonomy creates measurable impact. Begin with controlled pilots in high-friction processes, ensure strong governance and security guardrails, and build a scalable foundation that integrates seamlessly with existing systems. Equally important, prepare the organization and culture. Agentic AI is not just automation; it changes how teams work, make decisions, and collaborate with digital agents.
Leader Uncovered:
Education: MS in Software systems at BITS, Pilani
Certifications: SAFe SPC, AWS Certified Cloud practitioner
Birth place: Kannur, Kerala
Strength: Strong ability to “join the dots” – connecting diverse ideas and insights to see the bigger picture. Decisive and action-oriented, able to take calls in ambiguity.
Weakness: I often set very high expectations, which can at times be demanding for others.
Biggest inspiration: Comes from leaders and individuals who can create lasting impact by uniting people around a common vision. I deeply admire those who balance strategic clarity with execution discipline.
One passion/hobby: I am deeply passionate about sports, which has shaped my outlook both personally and professionally.
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