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
AI agents in finance & banking: 12 proven use cases (2026)
Legacy banking systems and fragmented tools force manual work everywhere, with fraud losses topping 190 billion dollars and compliance teams spending 42 percent of budgets chasing false positives. AI agents fix this by owning workflows end to end rather than automating isolated steps, across loan processing, KYC, reporting, portfolio management, underwriting, onboarding, disputes, personal financial guidance, claims, fraud detection, reconciliation, and credit policy checks. The payoff is faster decisions, lower risk, and stronger audit trails.
AI agents in healthcare: 12 real-world use cases (2026)
Healthcare faces a worker shortage of 10 million by 2030, and much of the strain comes from fragmented systems that force staff to chase updates by hand. AI agents fix this by owning workflows end to end, across internal support, clinical documentation, care coordination, scheduling, billing, reminders, claims management, provider onboarding, payment reconciliation, and compliance. Real deployments show the payoff, including millions in revenue recovered and denial rates cut by up to 40 percent.
How AI in the workplace is rewriting enterprise culture
AI's biggest workplace impact is cultural, not technical. The promise is real: less busywork, faster learning, more time for judgment. But the reality is uneven, since 70 percent of organizations are not yet ready, held back by disconnected data, un-redesigned workflows, late governance, and low trust. As AI grows more agentic, hierarchies loosen and roles shift upstream. The organizations that succeed will be the ones that treat AI as a culture shift, not just a productivity tool.
What is AI in the workplace: Use cases + real-world examples (2026)
AI in the workplace has moved from simple task automation to agentic systems that understand goals and act across workflows. The biggest barrier isn't the technology, it's readiness, since 70 percent of organizations still lack the data, integration, and governance to scale it. Common use cases include internal support, enterprise search, task execution, project coordination, and leadership visibility.
8 best AI enterprise search platforms in 2026 | Market guide
This guide reviews the top 8 AI enterprise search platforms for 2026: Kore.ai, Glean, Elastic, Coveo, Moveworks, Lucidworks, Algolia, and Google Cloud Search. Enterprise search has become the foundation of AI driven work, since AI agents are only as reliable as the knowledge they can retrieve. Not all AI search platforms are the same, some focus on workplace discovery, others on service workflows or embedded app search, and a few support full agentic, action ready search.
Top 7 enterprise search use cases leaders must know
Enterprise search has evolved to become the knowledge layer that connects people, systems, and data across the organization, not just a way to find documents. Its impact spans every department, from HR and customer service to sales, engineering, and leadership. Poor search is expensive too, costing over $5 million per 1,000 employees each year in lost time. Agentic AI adds a new multiplier, since search now powers agents that find information and also reason, plan, and act on it.