AI in fintech: AI expert Mantu Singh on how compliance automation is changing the game

One of the key challenges financial firms face is processing vast volumes of marketing and advertising materials that must comply with regulatory requirements.
The global financial industry is undergoing a massive transformation as artificial intelligence is integrated into regulatory and compliance processes. According to Allied Market Research, the global RegTech market was valued at $11.7 billion in 2023 and is projected to reach $83.8 billion by 2033, growing at an annual rate of 21.6%. Leading financial institutions such as JPMorgan and HSBC are already investing billions of dollars in compliance automation, aiming to cut operational costs and reduce human error in risk management. However, despite these advancements, traditional methods of financial document verification still require significant time and resources.
AI vs. bureaucracy: How technology is changing the rules of the game
One of the key challenges financial firms face is processing vast volumes of marketing and advertising materials that must comply with regulatory requirements. This is where advanced AI solutions come into play, enabling the automation of these processes and significantly reducing verification time.
A prime example is the AI-driven solution developed by Mantu Singh, an AI and software architecture expert. As part of his work at RegEd, a leading developer of compliance solutions for the financial sector, he led the creation of an AI platform that is already used by four of the five largest U.S. banks and six of the top ten broker-dealers.
In the past, reviewing marketing materials took days or even weeks, as compliance teams manually checked documents against strict regulations, often facing complex legal language and evolving guidelines. This process was slow and prone to human error, increasing regulatory risks.
To solve this, Mantu Singh and his team developed an NLP and machine learning-based platform, automating key compliance checks. "By leveraging AI, we cut processing time by 80%, enabling firms to approve materials much faster while maintaining accuracy," he explains.
Over the past year, the system has processed 7 million documents, detecting compliance risks and flagging inconsistencies in real time. Singh notes that this not only speeds up workflows but also improves decision-making, allowing compliance teams to focus on strategic tasks. By integrating AI, financial institutions have enhanced efficiency and regulatory adherence, gaining a competitive edge.
The U.S. experience and opportunities for India
While AI is already widely adopted in fintech across developed nations, compliance automation technologies in India are still in their early stages. "The situation is changing rapidly: three-quarters of Indian banks plan to implement AI solutions for compliance automation within the next five years," notes the expert. According to Singh, as financial sector regulations and digitalization accelerate in India, technologies similar to those in the U.S. could play a crucial role.
Singh notes that the Indian market is currently at a turning point where compliance automation can potentially become a competitive advantage for financial institutions. He highlights the main challenges, which include the diversity of regulatory frameworks and the complexity of local financial products. However, he emphasizes that banks and fintech companies can significantly reduce operational costs and accelerate regulatory processes by leveraging modern AI solutions.
Conclusion
AI and machine learning continue reshaping the financial technology sector, making compliance processes faster, more precise, and more accessible. The experience of implementing AI-driven solutions in the U.S. demonstrates that automation reduces costs and minimizes risks associated with regulatory violations, enabling companies to meet requirements more quickly and efficiently. For India, where financial sector digitalization is accelerating, such technologies could become a key driver of future growth.
"Ultimately, AI in compliance is not just about speeding up processes; it's about creating a more transparent and reliable financial system," emphasizes Singh. "The faster companies adapt to new technologies, the stronger their position will be in the evolving financial landscape."
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