Stop Losing EMI Payments: Why Human Memory is the Real Problem and AI is the Solution
If you are a banker or run a bank or an NBFC (Non-Banking Financial Company), you are aware of the biggest problem you are currently facing in your day-to-day operations. Yes, you guessed it right. It is delayed loan repayment.
Every time a retail loan or credit card EMI (Equated Monthly Installment) is not paid or is delayed, most finance managers immediately jump to a common assumption. Yes, you guessed it right again. Most finance managers immediately jump to an assumption that “the customer does not have money” or “the customer is deliberately not paying.”
What if this assumption is completely wrong? What if the reason behind declining collection figures is completely unrelated to the amount of money in the customer’s bank account?
If we analyze the data of loan defaults in the initial stages of loan repayment, also known as Bucket 1 collections, a completely surprising reality emerges. Yes, you guessed it right. A massive percentage of delayed EMI payments are not intentional. Rather, they are due to a completely common reason – forgetfulness.
In this blog, we are going to explore the true psychology of delayed loan repayment and how smart finance managers are using AI Voicebots to solve this problem.
The Psychology of EMI Delays: The "Memory" Problem
To understand the problem, we first need to understand the modern consumer. People are leading incredibly busy lives these days. From high work pressure to taking care of family needs, and from traveling to work to fighting through the digital clutter of emails and social media messages, the human brain is already overburdened.
In such a scenario, it is extremely hard for the common consumer to recall the exact due date for all the bills and EMI they need to pay. They may have to pay their car loan on the 5th, their home loan on the 10th, and their credit card bill on the 15th.
Most consumers are good and honest citizens. They do not want to default on their loans. They do not want their credit score (their CIBIL score) to fall. All they want is a polite reminder before the money is supposed to be deducted from their account.
This is just a minor slip on the part of the consumer. However, for the company, this is leading to a massive cash flow bottleneck. If thousands of such consumers are not keeping enough money in their accounts on the due date, the company is losing millions.
The Traditional Fix: Why Manual Calling Teams Fail
How do banks and financial institutions traditionally try to solve this “memory” problem? They throw human bodies at the problem. They hire massive collections teams and create massive call centers.
These highly skilled finance professionals spend their entire day in front of a computer screen, manually dialing thousands of phone numbers to say exactly the same sentence over and over again:
“Hello sir, your EMI is due tomorrow. Please keep sufficient balance in your account.”
The worst use of a highly intelligent and empathetic human being is to use them like a glorified auto dialer. The drawback of using a manual calling team is:
Incredibly Slow Speed: The number of calls a human agent can make in an 8-hour period is limited. They need to wait for the phone to ring, wait for voicemails to be answered, and wait for breaks in between. If you have 50,000 EMIs due tomorrow, a human team simply cannot dial all those numbers in time.
Massive Inconsistency: When thousands of calls need to be made before the due date, human inconsistency occurs. People will fall sick, take leaves, and forget to mark names on their Excel spreadsheets. This ensures that many will be left out and will miss their reminders.
Severe Employee Burnout: Making routine calls day in and day out will burn out your collection team. It’s just too boring and stressful for them.
When your human team is busy with these basic, routine reminders, they will have no time at all for the real clients who need the real help. They will be unable to deal with complex cases of loan restructuring, negotiation, and the like.
The Game Changer: AI Voicebots For EMI Reminders
Smart loan companies have understood this and are now moving away from manual calling, which is too slow and too costly. They are moving towards Proactive AI Automation.
The best and simplest scalable solution to this operational bottleneck is an Intelligent AI Voicebot.
At Archiz Solutions, we have understood that if financial institutions integrate their database (CRM) with an Intelligent AI Voicebot, their entire collection process is revolutionized overnight. The Intelligent AI Voicebot is like a tireless and extremely fast digital assistant.
Here is exactly how an Intelligent AI Voicebot solves the EMI collection problem:
100% Consistent Outreach
Artificial Intelligence does not sleep, Artificial Intelligence does not get tired, and Artificial Intelligence does not ask for a holiday. 48 hours prior to the EMI payment due date, an AI Voicebot can simultaneously call all 50,000 of your customers. 100% of your borrowers will be reminded, and not a single person will be left out.
Natural and Friendly Conversations
Most people despise talking to old, robotic IVR systems where you have to “Press 1 for English.” Modern AI Voicebots do not have robotic voices. They talk naturally with the customer. The bot will greet the customer nicely using their name, ask them about the amount they have to pay, and ask them if they are ready to make the payment. If the customer requests a payment link, it can be sent via SMS during the call
Automatic Intent Capture and Data Entry
The best part of AI is that it can listen and understand. If a customer says, “I am currently busy, but I will make the payment by tomorrow afternoon via Google Pay,” it can understand this. It can log this data into your CRM system without you needing to do anything. Your management just has to log in and see exactly who is paying and who is not.
The Business Impact: Lower Costs and Higher Revenue
In other words, by using AI to send your EMI reminders, you are eliminating early-stage loan defaults at the root cause. The customer receives their reminder, they pay the money into their account, and the payment is made successfully.
This is such a simple process, and yet it results in a massive increase in On-Time Collection Rates for loan companies.
But the biggest and most beautiful advantage is what happens to your workforce. Using an AI Voicebot saves your collection team thousands of working hours every single month. This is because the AI is doing all the hard work on the calls, and your team is free to do other things.
They are free to focus on tracking down late-stage defaulters, building better relationships with customers, and helping customers. You get a happier team and a healthier bottom line.
Conclusion: It Is Time to Automate Your Dealership
If your NBFC, bank, or lending business is still operating its entire collection strategy on manual human calls and spreadsheets, then you are hurting your own profit margins. You are losing money simply because your system is too slow to remind people on time.
Routine, repetitive reminders are the work of machines. Complex problem-solving, empathy, and negotiation are the work of humans. So, if you are giving the work of the robot to the AI, then your humans can shine.
Automate your collection process today, stop losing money to forgetfulness, and let your business efficiency soar.
Are you interested in seeing this technology in action? I’ve just created a short, 90-second video explaining the entire AI Voicebot process in detail. If you’re in the BFSI (Banking, Financial Services, and Insurance) industry, then you need to see this.
🎥 Watch the full explanation by Archiz Solutions