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Artificial Intelligence is becoming a transformative force in the business world, with predictions suggesting it will add $15 trillion to global GDP by 2030. Many believe the country leading in AI will dominate the next generation. However, businesses face the challenge of balancing intelligence with trust as AI continues to evolve.
In the latest episode of the Analytics Insight Podcast, host Priya Dialani speaks with Anurag Jain, Co-Founder of Oriserve, about how businesses are reconsidering their approach to AI, focusing on performance, security, and reliability rather than just innovation.
Priya begins the conversation by questioning a popular concept: success is driven solely by the smartest algorithms. “In the enterprise world, intelligence only matters if it’s trusted,” she states. Companies today are not simply buying AI tools; they are also investing in systems that “run operations, shape customer experiences, and influence billion-dollar decisions.”
Anurag agrees that while AI is a priority in the boardroom, it's the trustworthiness of performance that separates the successful from the unsuccessful. “There’s a lot of hype around AI and everyone wants to adopt it,” he says. “But enterprise buyers look for real impact, proof that AI delivers ROI.”
According to Anurag, the Oriserve team is so committed to scaling up trust, they will often deploy the AI solutions on a small base - usually anywhere from 5% - and continue to scale up as accuracy and results improve. “Trust comes by building that impact early on and creating continuous learning loops,” Jain adds.
Oriserve is a deep-tech conversational AI company that drives Automation of 70-80% of enterprise conversations in the eight multicultural response areas. “We drive human-like conversations at scale that are aware of goals - whether it’s lead qualification or collection recovery,” he explains.
The Oriserve Co-Founder’s AI journey began in its early days. After graduating from IIT Kharagpur in 2011, Jain joined Fractal Analytics, focusing on predictive models, before the concept of generative AI was available. About that experience, he says, “it built my passion for how AI can impact real-life scenarios.”
Building Trust Through Compliance and Partnership
In addition to performance, compliance and security continue to be leading concerns of enterprise adoption. Anurag highlights, “We build AI observability stacks that give enterprise buyers confidence that the solution is compliant and secure.”
Trust, as he explains, is not created in a single transaction; it is built by working together over time. “It’s not just a one-time sale; it’s a continuous partnership where we keep building further so that the AI becomes better over time.”
