Blue Machines AI has deployed its Voice AI platform across multiple business units of Aditya Birla Capital, including mutual funds, health insurance and housing finance. The implementation integrates conversational AI into operational systems to support functions such as customer outreach, investor engagement, advisor activation and service processes.
As per the company, the deployment was completed within six weeks and is aimed at improving efficiency across different customer touchpoints. In the mutual fund business, the platform is being used to support investor engagement by assisting with product discovery, addressing queries and guiding users through investment journeys such as SIP and lump sum options.
Within the health insurance segment, the Voice AI system is being used to support distribution partners and customer onboarding processes. It enables communication with advisors, provides product related updates and facilitates onboarding interactions with policyholders.
In the housing finance business, the platform supports sales and customer communication by managing follow ups, providing updates on loan processes and assisting customers through application stages. According to the company, the deployment reflects a broader use of AI in customer interaction and service functions, with potential expansion across additional stages of the customer lifecycle.
The technology combines speech to text, text to speech and large language models to enable automated voice interactions. It also includes system features designed for operational continuity and compliance with financial sector requirements. Multilingual capabilities allow the platform to interact with users across different regions and languages.
Nirmit Parikh, Founder and CEO, Blue Machines AI, said, “Financial services institutions require conversational AI systems that operate reliably at scale while meeting strict compliance standards. With Aditya Birla Capital, we have completed 15+ integrations in a record six weeks. We are embedding lifelike agents directly within workflows and seamlessly integrating into core operational systems. This enables intelligent, high-volume customer interactions at scale while maintaining trust, compliance, and performance.”
