One of the key problems faced by financial firms is a large number of marketing and promotional materials that must meet the requirements of regulatory requirements.
The global financial industry is undergoing large -scale transformation because artificial intelligence is integrated into the processes of regulatory and fulfillment of requirements. According to Allied Market Research, the world regtech market was estimated at $ 11.7 billion in 2023 and, according to forecasts, will reach $ 83.8 billion by 2033, increasing 21.6%. Leading financial institutions such as JPMorgan and HSBC are already investing billions of compliance in automation, aimed at reducing operational costs and reducing human risk management errors. However, despite these achievements, the traditional methods of checking the financial document still require considerable time and resources.
AI against bureaucracy: How technology changes the game rules
One of the key problems faced by financial firms is a large number of marketing and promotional materials that must meet the requirements of regulatory requirements. This is where the AI enhanced solutions were entered, which allows you to automate these processes and significantly reduce the check time.
A striking example is the AI solution developed by Mantu Singh, AI architecture expert and software. As part of his work in Reged, the leading developer of compliance with the financial sector decisions, he managed the creation of the AI platform, which already used the four of the five largest US banks and six of the top ten brokers.
In the past, viewing marketing materials took several days or even weeks, as the teams for fulfilling the requirements were checking the documents for strict rules, often colliding with complex legal language and developing governing principles. This process was slow and prone to human mistakes, increasing the normative risks.
To solve this, Mantu Singh and its team have developed the NLP and machine training platform by automated the key matching check. “Using AI, we reduced the processing time by 80%, allowing firms to approve of the materials much faster, maintaining accuracy,” he explains.
Over the past year, the system has processed 7 million documents, revealing the risk of fulfillment and indicating real -time inconsistencies. Singh notes that this not only speeds up workflows, but also improves decision -making, allowing teams to fulfill the requirements to focus on strategic tasks. By integrating II, financial institutions increase the efficiency and maintaining regulatory authorities, getting a competitive advantage.
US experience and opportunities for India
While AI is already widely accepted in Fintech in developed countries, the technology of preservation automation in India is still in the early stages. “The situation is changing rapidly: three quarters of Indian banks plan to implement AI solutions to fulfill requirements over the next five years,” the expert notes. According to Singh, since the financial sector rules and digitization are accelerated in India, technology similar to those in the US can play an important role.
Singh notes that the Indian market is in a turning point when the composition automation can be a competitive advantage for financial institutions. It emphasizes the main problems that include the variety of regulatory frames and the complexity of local financial products. However, he emphasizes that banks and companies of Fintech can significantly reduce operational costs and accelerate regulatory processes using modern AI solutions.
Conclusion
AI and machine learning continue to redo the financial technology sector, making the requirements of the requirements faster, accurate and more affordable. The experience of implementing AI-led solutions in the US shows that automation reduces costs and minimizes the risks associated with violations of the regulatory authorities, which allows companies to meet more quickly and effectively. For India, where the financial sector digitize, such technologies can become a key engine of future growth.
“Ultimately, AI is not only in accelerating processes; it is about creating a more transparent and reliable financial system,” Singh emphasizes. “The faster companies adapt to new technologies, the stronger they will be in the developing financial landscape.”
