"AI enabled the role of a compliance team resulting in 95% cost savings"
Problem: In Fintech, there is a myriad of regulations published over many years that one must comply with to make small changes to products. If you wish to change interest rates by 25 basis points, there are over 300 regulations that impact this change.
Solution: We built a LLM based system trained on all compliance documents released by RBI in 50 years. Powered by a chatbot, it points to specific regulations impacting any product change.
Results: What would take two weeks can now be accomplished in one hour, resulting in a 95% cost saving.
"AI enabled the executive dashboard to bring the CEO closer to front line"
Problem: Executives struggle to get reports from various teams on time, with accuracy always in doubt, making it hard to make decisions without real-time accurate data.
Solution: We built a text-to-SQL system that understands the data map of the entire organization. It responds to simple text like “show me my sales trend by branch” to bring accurate data instantly.
Results: A data democracy supporting instant decision-making results in a massive competitive advantage.
"AI enabled customer support to reduce cost & improve engagement"
Problem: Customer support is a labor-intensive cost center where driving customer delight is challenging. Issues like customer engagement, quality control, accuracy, and timeliness of resolution impact the brand’s reputation.
Solution: We trained a LLM on enterprise product data & historical CS interactions to power an L1 chatbot. It segregates issues correctly and resolves basic issues, escalating relevant items to human teams.
Results: Higher customer engagement, lower time to resolution, and cost savings allow more agents to focus on L2/L3 support where human intervention is critical.
"AI powered intelligence to contact customers at the right time"
Problem: It is hard to contact customers on the phone while recovering loan dues, customers respond to phone calls at their convenience.
Solution: We used AI to mine data and discover that that the likelihood of customers responding at the time at which they were onboarded is high. We used this knowledge to send timed notifications and eliminating the need for a phonecall.
Results: Higher re-payments, lower cost by removing phone calls, and customers found it more convieninte to pay digitally with well timed reminders vs annoying phone calls.
"AI powered monitoring to ensure quality & compliance"
Problem: At scale it is hard to ensure call quality & collect data from phone calls.
Solution: We used AI to decipher call back requests from call recordings that the agents would not correctly record and also ensured. proper script compliance.
Results: Accurate call backs at times requested by customers & Increased process adherence resulting in greater visbilty and conversions.
"AI powered asset tracking to optimize logistics"
Problem: Multiple logistics movements with adhoc vehicle, driver and tracking allocation. Cause unnecessary working capital, cash flow and profitability implications.
Solution: Optimization achieved by studying data and streamlining the entire indent to payment cycle.
Results: Optimized shipment delivery with better cashflow.
"Telecom: Customer Support optimization using AI."
Problem: Call auditing is done by random sampling - key zero tolerance violations are routinely missed resulting in regulatory compliance violations
Solution: Built an AI model based on Natural Language Processing (NLP) that audits 100% of voice calls. No human intervention is required to ensure 100% compliance, as each call is audited automatically.
Results: 100% compliance at 95% cost savings