Most businesses are on the hunt for customized customer experience solutions. While choosing a company that provides customer experience solutions, it is of utmost importance to look for one whose automation services are highly scalable.A robust tech infrastructure and autoscaling capacity makes it easy to scale call volumes as and when required. This assures businesses that all customer requests, even during peak times, will be handled seamlessly and every single customer will be satisfied. Enterprise customers across domains have reaped the benefits of Gnani.ai’s highly scalable customer service solutions. [caption id="attachment_34187" align="alignnone" width="1024"]

Number of calls handled across sectors after Gnani.ai’s automation solutions were deployed[/caption]

Indian Telecom Giant Trusts Gnani.ai

One of the biggest names in the Indian telecom industry put their faith in Gnani.ai’s scaling capacities. They were able to get 76% of due payments cleared, but this happened only after Gnani.ai stepped in to handle over 2 million outbound calls per month on their behalf. Gnani.ai’s scalable automation capabilities also helped them reduce their operation expenses by 66% because of significantly reduced number of human contact service agents required.

Large Private Bank Uses Gnani.ai’s Automation Solutions

One of the largest private banks in India was able to make 10 million outbound calls per month for payment reminders, delinquencies and overdue charges using Gnani.ai’s automation services. They reported a 25% higher recovery rate when they used Gnani.ai’s services with a 65% reduction in operation expenses.

General Insurance Firm Scales Up Policy Renewals with Gnani.ai

A well-known general insurance firm was struggling to get their customers to renew policies. After Covid-19, the number of accounts increased by 3X. Hiring more and more human contact center agents was shooting up operation expenses. They approached Gnani.ai. The bots designed by Gnani.ai were initially deployed for 10 products and 8 million calls were made per month. After seeing the returns, the insurance firm decided to scale up to 40 products and the renewal target was increased from 9 crores to 50 crores. More amazingly, this scaling up to add 30 more products was done in just about 6 months.

India’s Largest Gold Financing Company Deployed Gnani.ai’s Automation Solutions

The largest shareholder in India’s gold financing market had a hefty loan book with an ever-increasing volume of overdue accounts. They deployed Gnani.ai’s automation solutions and the call volume increased from 1 million to 6.5 million per month. 20% dues were cleared immediately while another 40% promised to pay.

Private Sector Bank Scoured the Market for Automation Solutions

A large private sector bank scoured the market for efficient automation services and ended up going with Gnani.ai’s solutions because only Gnani.ai was able to fulfill their security requirements to deploy the solution on premise. After the deployment, they were able to notice the difference almost immediately. In the first month, they were able to make between 0.20 million to 0.25 million calls and have 15% of their loan book cleared. They decided to continue with Gnani.ai’s services after this initial success.

Why Gnani.ai is Able to Scale Up Rapidly and Efficiently

The following are the reasons that contribute to Gnani.ai’s rapid and efficient scaling capacity:

1. Autoscaling and load balancing: User requests are automatically adapted and accommodated by distributing them across systems to reduce delays and overloads.

2. Decentralized and distributed architecture: Since operations are distributed, a single issue does not ever cut off all communication. 3. Data management: Gnani.ai’s system is able to manage data efficiently and retrieve it as and when required. So, handling calls is much faster and more efficient.4. Easily replicable modules: Gnani.ai’s approach is consistent across all operations. So, it ensures stability of services irrespective of the size of the demand. Click here to check out Gnani.ai’s automation services trusted by leaders across industries.

Frequently Asked Questions

What does high scalability mean for voice AI deployments?

It means handling sudden peaks in call volume without service degradation. Four capabilities make this possible: autoscaling with load balancing, a decentralised distributed architecture, efficient data management and retrieval, and replicable modules that behave consistently wherever they are deployed.

How many calls can a voice AI platform handle each month?

Deployments run at very large scale. A telecom operator ran more than two million outbound collections calls a month, a large private bank ran around ten million a month for reminders and delinquencies, and an insurer handled eight million a month before expanding further.

What results did collections deployments achieve?

The examples cited report a 76 percent due payment recovery rate for a telecom operator with operating expenses down 66 percent, a 25 percent higher recovery rate for a bank with costs down 65 percent, and immediate clearance on a fifth of dues for a gold financing lender.

Can voice AI be deployed on premise?

Yes. A private sector bank chose Gnani.ai specifically for its security posture and on premise deployment capability. In the first month that deployment handled roughly 200,000 to 250,000 calls and cleared 15 percent of the loan book.

How quickly can a scaled deployment expand?

One insurer went from ten products and eight million calls a month to forty products in about six months after deployment, while absorbing a threefold increase in accounts. Replicable modules and infrastructure that scales without a redesign made this possible.