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A report by the Economic Times states that Indian banks are deploying AI avatars, dressed in a sharp business suit, for loan recovery. As per the feedback by major financial institutions and private sector banks, this new-age solution lowers the recovery cost and increases efficiency. Major banks like HDFC, ICICI, and Yes Bank are already leveraging AI co-workers for loan collection and reminding customers of their upcoming and missed payments.
Manual collection becomes expensive and difficult to scale due to the limitations of human interaction with a large number of customers. But with an AI co-worker, banks and financial institutions are able to automate repetitive collection interactions.
Let’s take a look at what problems banks currently face and how an AI assistant can improve recoveries.
Why Loan Collection Is a Challenge for Financial Institutions
Loan recovery is an important part of the lending process, but how do financial institutions manage it efficiently? Relying on manual collection methods is costly and time-consuming.
Some of the major challenges include:
- High Collection Cost
Loan recovery means a dedicated team and field agents who look after the entire process. When the number of borrowers increases, the cost of communication and follow-ups simultaneously increases.
- Large Manual Teams
The traditional collection method relies on employees making the call, sending reminders, tracking responses, and following up. Managing these tasks on repeat hampers their productivity and increases pressure due to tight deadlines.
- Delayed Responses
If companies completely depend on manual loan recovery, borrowers may not receive timely reminders for their payments. There would be a delay in communication, causing missed payments and harder recovery times.
- Inconsistent Communication
A single borrower may have to deal with different collection agents, leading to inconsistent communication and follow-ups. It affects the customer relationship and makes it tough for the banks to maintain a standard collection process.
How AI Co-workers Can Improve Loan Collection
AI co-workers can acquire, engage, convert, and contact across every channel, streamlining the loan collection process without human intervention. The team only steps in where expertise is valuable and an AI bot’s capabilities end.
Here is how virtual agents can become more responsible for collecting loans on behalf of the banks and financial institutions:
Automated Payment Reminder
An AI co-worker sends automatic reminders to borrowers before the due date to reduce the burden on teams. With a voice call, video chat, or text message, an AI assistant can ensure that the payment follow-ups happen and financial institutions can receive timely repayments.
AI Co-Worker Voice/Video Call
An AI co-worker can communicate with the borrowers through natural language and video-enabled interactions. It helps banks manage high volumes of calls regularly and remind borrowers of their overdue payments.
24/7 Engagement
Borrowers are available as per their convenience, making it tough for the collection teams to follow up. However, an AI co-worker is available 24/7, at any time convenient for the customer. It allows the financial institutions to maintain consistent follow-ups and reduce the chances of missed communication.
Escalation of Complex Cases to Human Agents
An AI agent cannot handle every conversation, especially when the customer is dealing with a dispute or requires special assistance. In such situations, the AI co-worker can escalate the communication to a human agent, creating a collaborative approach in the company. AI can manage high-volume interactions, enabling teams to focus on complex cases that require personalised support.
How Co-Operative Banks Use AI Co-workers for Loan Collection
Banks and financial institutions continue to serve a large customer base while maintaining a lean team. How? Because as their loan portfolio grows, they leverage AI co-workers to manage debt collection.
Here is how an AI assistant simplifies the debt collection process for banks:
Reduce Dependence on Large Collection Teams
When banks depend on teams to follow up with the borrowers, they require significant manpower. But with a switch from teams to AI coworkers, handling routine collection conversions and repeated follow-up calls becomes easier. At the same time, humans can focus on borrowers who need personalised assistance.
Reach Borrowers at Scale
It becomes increasingly difficult for co-operative banks to reach a massive number of customers. But the AI co-worker can engage with them through regular video chats, voice calls, and texts without feeling fatigued. That’s how banks can maintain regular communication without increasing their workforce.
Automate Reminders
Delayed payments mean repeated reminders from the banks’ end. An AI co-worker can streamline these interactions as per predefined schedules so borrowers are aware of their upcoming dues and overdue payments. It significantly reduces the burden on employees to call and manage communication with the customers until the matter is complex.
Improve Operational Efficiency
AI-enabled assistance helps banks make better use of their resources. The human team does not have to spend a significant time on routine calls and can focus on core issues. They get sufficient time to handle complex borrower cases and manage customer relationships effectively. As a result, banks today follow a more streamlined collection process while controlling operational costs as their loan portfolios grow.
Use Cases: How Credegenics Is Using AI for Loan Recovery
Credegenics has enabled its banking and financial institution clients to connect loans and resolve debt issues through AI-enabled solutions. This SaaS platform has already helped lenders increase their resolution rates by 20%.
With the help of Credegenics, institutions like HDFC Bank and Bajaj Finance shifted from their aggressive tactics to data-driven solutions. Their phygital approach combines automated, scalable AI systems with human agents for complex, high-value cases.
As a result, the companies can focus on more customers, higher conversion rates, lower collection costs, and better recovery reports.
Conclusion
Loan collection is continuously evolving, no longer focusing on manual processes. Today, banks and financial institutions are focusing on AI co-workers to automate routine reminders, engage borrowers at scale, and ensure timely follow-ups. It allows human teams to focus on complex cases that require personal attention.
Adopting AI-powered collection solutions can help improve operational efficiency, reduce costs, and create a more consistent borrower experience. Vaayushop integrates AI co-workers into the banking solutions to create a more consistent borrower experience. As the financial services industry continues to embrace automation, organisations are integrating AI coworkers into their collection strategies.
Learn more about how Vaayushop AI co-worker can streamline the debt collection process without mass hiring.