Gaurav Bhandari
Gaurav is the Content Lead at Kore.ai. He has over 10 years of experience creating content and designing marketing campaigns that drive organic growth for B2B companies. As both an engineer and a marketer, he excels at translating technical concepts into compelling marketing content. Outside of work, he enjoys long walks and playing badminton with his 10-year-old daughter.
Articles by this author
State of enterprise AI in 2025: a decision-maker’s guide
The Kore.ai survey of over 1,000 enterprise leaders shows 71% are actively using or piloting AI across departments, led by process automation at 44%, workplace productivity at 31%, and customer service at 24%. The biggest barriers are the AI talent gap, high LLM costs, and data security concerns. Most enterprises, 72%, prefer buying AI solutions over building them from scratch. Even so, 90% plan to increase AI budgets over the next three years.
Scaling beyond limits: How leaders reimagine with AI
Most enterprise AI gets stuck in what is called POC Hell, where pilots impress in demos but never scale. At Kore.ai's Reimagine Mumbai event, leaders from BCG, Axis Bank, ICICI, and Bajaj Allianz agreed real value comes from AI owning entire processes end to end, not just answering questions. Reliability and governance matter more than flashy features, especially in regulated industries. Adoption is as much a people problem as a technology one.
Leader’s guide to responsible AI: key principles and practices
Responsible AI rests on six principles: fairness, transparency, accountability, privacy and security, reliability and safety, and inclusiveness. Regulations like the EU AI Act set the floor, but leaders are the ones who actually shape an ethical AI culture inside their organization. Embedding these principles into the AI lifecycle is not optional, it is the foundation for AI that scales safely, stays compliant, and earns real user trust rather than eroding it.
How is AI redefining customer experience for enterprises
The Kore.ai survey of over 1,000 enterprise leaders shows customer service has become one of AI's most active use cases. Chatbots and virtual support lead adoption at nearly 80%, followed by analytics and insights at 65%, virtual assistants at 60%, translation at 55%, and personalization at 40%. Data security, talent gaps, and the cost of LLMs remain the top barriers. Even so, 92%of organizations plan to increase AI investment in customer service.
How generative AI is improving workplace productivity in 2026
Generative AI is boosting workplace productivity in five ways: freeing employees from admin work, speeding up recruitment, turning scattered data into actionable insight, keeping distributed teams in sync, and helping people make faster decisions. Real impact comes from rethinking how work is done, not just adding GenAI on top of inefficient systems. Clean, well governed data and thoughtful design drive outcomes, and responsible AI practices, including governance and ethical use, are what make the gains last.
How AI is revolutionizing enterprise business operations
The Kore.ai survey of over 1,000 enterprise leaders shows process automation has become one of the most widely adopted AI use cases, with 44% naming it their top priority. Analytics leads usage at 75%, followed by process automation at 70%, information discovery at 63%, and workflow optimization at 55%. Talent gaps, data security, and regulatory compliance remain the biggest barriers. Even so, 88% of organizations plan to increase AI investment.