New Delhi, April 9 -- India's wealth management platforms are undergoing a fundamental architectural shift, with artificial intelligence (AI) moving from a support layer to the core engine powering decision-making, portfolio construction and client engagement, according to Kamal Kishore, Chief AI and Technology Officer at Centricity WealthTech, a Gurugram-based technology-driven, SaaS-based wealth management platform.
This transition is reshaping the sector from transaction-led systems into "intelligence-first" platforms that operate in real time, enabling continuous portfolio monitoring, dynamic rebalancing and hyper-personalised investor experiences. In an interview with TechCircle, Kishore said the industry is moving away from periodic, reactive models toward always-on systems that integrate advisory, operations and client journeys into a unified AI-driven stack.
Kishore describes this shift as "real-time portfolio intelligence" or platforms that continuously ingest live market data, investor behaviour and portfolio positions to trigger proactive actions rather than retrospective reporting. These systems can analyse investor goals, risk appetite and market signals simultaneously, allowing portfolios to be dynamically constructed and adjusted as conditions change, significantly reducing the lag between market movements and investor decisions.
However, despite rapid progress, India's wealthtech ecosystem still faces structural data challenges, believes Kishore. Many platforms continue to rely on siloed and batch-processed data systems, limiting their ability to deliver real-time insights and scalable AI-driven services. According to him, "The industry must transition to more advanced data architectures-such as data mesh frameworks, streaming pipelines and continuous machine learning operations (MLOps)-to unlock the full potential of AI."
"Without strong data standardisation, governance and trust frameworks, AI in wealth management will remain powerful but not fully reliable or scalable," he said, adding that the need for a single, unified source of truth across platforms remains a critical gap.
Within Centricity WealthTech, the focus over the next 12-18 months is on building a unified, AI-first platform that integrates its core offerings while expanding into new segments such as non-resident Indian (NRI) services, broking and insurance. The company is also investing in automating back-office operations using AI to improve efficiency and productivity at scale, while enhancing decision-making for advisors and investors, informed Kishore.
As wealthtech firms scale, balancing growth with regulatory compliance and investor trust is becoming increasingly important. Kishore emphasised that governance, transparency and explainability must be embedded directly into platform architecture rather than treated as add-ons. AI-driven systems, when built on robust data pipelines and auditable frameworks, can enable both hyper-personalisation and compliance in regulated environments, he said.
Hyper-personalisation itself is beginning to move from concept to reality, although it is yet to be fully scaled across the ecosystem. Kishore said that platforms are increasingly leveraging AI and advanced analytics to tailor portfolios and investment journeys to individual users, but widespread adoption will depend on improvements in data infrastructure and interoperability.
Currently, AI is delivering the most immediate impact in operations and risk management, where it is being used to consolidate fragmented data, enhance research capabilities and enable real-time portfolio rebalancing. While advisory functions are also being augmented by AI-driven insights, Kishore noted that human expertise remains central to client relationships and decision-making.
Looking ahead, Kishore believes the next wave of winners in India's wealthtech space will be those that embed AI deeply into their core architecture rather than treating it as a feature. Platforms that successfully combine AI-native infrastructure, unified data layers and seamless user experience-while integrating human judgment-will define the future of wealth management in the country.
"The real differentiation will come from connecting data, AI insights and human expertise into a single, cohesive decision-making engine," he said.
Published by HT Digital Content Services with permission from TechCircle.