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InFocus CXOs
Indian companies have long used basic automation tools like chatbots and workflow software to cut costs and handle routine work. But these tools have limitations and can't adapt to changing situations.
Today's business world needs smart systems that can think and act independently. This is where Agentic AI comes in.
Indian companies have progressed through three stages: simple workflows (Zapier-like tools), robotic process automation (UiPath), and basic AI chatbots (WhatsApp bots). These tools helped but couldn't handle unusual situations, adapt to changes, or work collaboratively.
Agentic AI acts like a smart assistant that can make independent decisions, learn from experiences, work with other systems, and solve problems without human help. Think of it as a smart employee who never sleeps and continuously improves.
Rising Customer Expectations: Customers expect seamless, personalized experiences across all touchpoints. Traditional automation can't connect these experiences - Agentic AI can.
Talent Challenges: High employee turnover creates training costs and performance inconsistencies. Agentic AI agents provide consistent 24/7 performance.
Global Competition: Indian IT services need faster delivery, better quality, and lower costs. Agentic AI delivers all three.
Banking: Instant Loan Processing
Traditional: Personal loan applications take 5-7 days with multiple manual checks.
Agentic AI: Instantly checks credit scores, verifies income, assesses risk using 50+ data points, and approves/rejects in 2 minutes while sending WhatsApp updates.
E-commerce: Smart Inventory Management
Traditional: Manual inventory tracking often leads to stock-outs during festivals.
Agentic AI: Monitors sales patterns, predicts seasonal demand, automatically places supplier orders, adjusts competitive pricing, and coordinates with logistics.
Healthcare: Patient Care Coordination
Traditional: Patients make multiple calls and visits to coordinate between doctors, labs, and pharmacy.
Agentic AI: Automatically schedules appointments, sends medicine reminders, coordinates test results, alerts doctors about critical values, and handles insurance claims.
Agentic AI has five key capabilities: independence (works without constant supervision), memory (remembers past interactions), tool usage (operates different software systems), smart thinking (plans ahead and adapts), and teamwork (collaborates with other AI agents and humans).
Messy Data: Many companies store data in Excel sheets, old systems, and paper documents. Agentic AI can read unstructured data and extract information from Hindi invoices, handwritten forms, and legacy systems.
Compliance Requirements: Banking and finance companies must follow strict RBI rules. Supervisor AI agents monitor other agents, ensuring rule compliance and maintaining detailed records.
Limited Technical Teams: Many businesses want advanced AI capabilities without large IT teams. New platforms enable AI agent creation without complex coding.
Cultural Nuances: Indian customers communicate uniquely, mixing languages and using cultural references. AI agents trained on Indian data understand context, emotion, and cultural cues.
Companies must address four key risks: AI making mistakes (use supervisor agents for important decisions), data privacy (implement strong encryption and access controls), lack of human touch (design clear escalation paths), and unclear decision-making (maintain detailed logs and use explainable AI).
Leading Indian tech companies are leveraging AI to transform customer service and security. Meesho uses an AI voice agent to handle thousands of daily customer calls in English and Hindi, achieving high resolution rates and reducing costs. Zerodha’s AI agents answer customer queries instantly, cutting response times from hours to seconds. Razorpay employs AI to detect fraud in real-time, minimizing false positives while catching more actual fraud. These innovations have improved efficiency, customer satisfaction, and safety. AI is rapidly becoming a game-changer in India’s digital economy.
For companies ready to embrace Agentic AI: start small with one specific process, choose the right tools (platforms like LangGraph, CrewAI, and Autogen), focus on cleaning up data, plan for human supervision, and measure results in speed, accuracy, and customer satisfaction.
Agentic AI represents a fundamental shift in business operations. For Indian companies facing pressure to do more with less, it's becoming essential for survival and growth.
India has a unique opportunity to lead in AI adoption, just like we leapfrogged to UPI payments and digital India. The key is reimagining how work gets done - instead of asking \What can I automate?\ ask \What can I delegate to an AI agent?\
Companies that embrace this shift early will have significant advantages in efficiency, customer responsiveness, and future readiness. The question isn't whether Agentic AI will transform Indian business - it's whether your company will be ready.
Vaibhav Goyal is the Co-founder of Predixion AI, a next-generation conversational AI agent platform focused on transforming debt collection. With over 20 years of experience in digital product management and engineering, Vaibhav has successfully delivered 25+ commercial-grade digital products, establishing himself as a seasoned DeepTech product leader.
An entrepreneur at heart, he launched an omnichannel book retail business at the age of 24, scaling it to ₹1 crore in revenue within just one year. Over the years, Vaibhav has collaborated with multiple startups across AI, deep tech, SaaS, enterprise, education, healthcare, e-commerce, social media, and content/OTT, contributing to sustainable business models, product innovation, growth strategies, organizational development, and capital raising across various stages.
A prolific writer and a recognized LinkedIn India Top Voice in AI, Vaibhav is also a sought-after keynote and panel speaker at leading AI forums across the country. He holds a B.Tech from IIT Madras and an MBA from SP Jain Institute of Management & Research, Mumbai.
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