Transforming Compliance Landscape Through LLM Based Compliance Assistant
Problem Statement:
In the Banking, Financial Services, and Insurance (BFSI) sector, the multitude of compliances required for daily operations creates a complex scenario. Adhering to these regulations is crucial to maintain the security and integrity of banking operations. Each designation within the institution comes with specific rules, determining access levels to sensitive customer data. The manual process of creating compliance reports and granting system access to new hires based on their roles is time-consuming and leads to operational delays, impacting interdependent tasks.
Solution:
Iauro addressed this challenge by developing an Agent Large Language Model (LLM) to automate compliance processes in the BFSI sector. For instance, when a bank hires a branch manager, the central team traditionally handles the creation of email IDs, access to mailing systems, cloud-native internet banking, bank accounts, operational data, and compliance reports. The Agent LLM streamlines this by allowing the compliance team to efficiently generate necessary access for key banking functions viz. core banking, investment management, customer data, etc., based on roles, hierarchy, and the extensive compliance framework. By simply entering a prompt with the new employee’s ID, the system automates the generation of access details and compliance reports. This Agent LLM solution is not exclusive to BFSI; its industry-agnostic nature allows it to automate compliance tasks across various sectors.
Impact:
This innovative solution has redefined organizational operations, bringing about a revolutionary change by significantly enhancing productivity and efficiency. The time and resources saved through automation contribute to amplified operational output, making it a transformative force in the industry.
Transforming Compliance Landscape Through LLM Based Compliance Assistant
Problem Statement:
In the Banking, Financial Services, and Insurance (BFSI) sector, the multitude of compliances required for daily operations creates a complex scenario. Adhering to these regulations is crucial to maintain the security and integrity of banking operations. Each designation within the institution comes with specific rules, determining access levels to sensitive customer data. The manual process of creating compliance reports and granting system access to new hires based on their roles is time-consuming and leads to operational delays, impacting interdependent tasks.
Solution:
Iauro addressed this challenge by developing an Agent Large Language Model (LLM) to automate compliance processes in the BFSI sector. For instance, when a bank hires a branch manager, the central team traditionally handles the creation of email IDs, access to mailing systems, cloud-native internet banking, bank accounts, operational data, and compliance reports. The Agent LLM streamlines this by allowing the compliance team to efficiently generate necessary access for key banking functions viz. core banking, investment management, customer data, etc., based on roles, hierarchy, and the extensive compliance framework. By simply entering a prompt with the new employee’s ID, the system automates the generation of access details and compliance reports. This Agent LLM solution is not exclusive to BFSI; its industry-agnostic nature allows it to automate compliance tasks across various sectors.
Impact:
This innovative solution has redefined organizational operations, bringing about a revolutionary change by significantly enhancing productivity and efficiency. The time and resources saved through automation contribute to amplified operational output, making it a transformative force in the industry.