AI-Powered Fintech ChatbotAI-Powered Fintech Chatbot
AI-Powered Fintech ChatbotAI-Powered Fintech Chatbot
Accounting

From Support Tickets to Instant Answers

An AI chatbot automated finance queries, reduced support tickets, accelerated resolutions, and gave customers secure access to real-time account insights.

0%
Decrease in Support Tickets
0.00%
Faster Query Resolution
0.0M+
Queries Answered Annually

At a Glance

Our client needed to reduce reliance on support for finance and accounting queries. Maruti Techlabs built an AI chatbot that securely retrieved relevant information from backend systems and delivered contextual responses.

Industry

Accounting

Function

Customer Support

Solution

AI Chatbot

Engagement

Chatbot Development

The Client

Our client is a back-office services company providing outsourced Finance, HR, Taxes, Payroll, Benefits, Accounting, Insurance, and Recruitment services. Their customers use a SaaS platform to access reports across various back-office processes.

The Challenges

Limited Reporting Created Support Dependency

Customers could access standard reports through the platform, but needed support assistance for custom finance and accounting information.

01

Custom Reports Required Support

Customers could not access detailed or customized finance and accounting reports through the existing dashboard.

02

High Ticket Volume

Customers frequently emailed support teams or raised service desk tickets for additional information.

03

Phone Queues Delayed Assistance

Customers with urgent queries often had to wait for a customer service representative.

04

Slow Query Resolution

Manual handling increased first response and turnaround times for customer requests.

05

Support Delays Affected Experience

Longer wait times contributed to customer dissatisfaction and increased churn risk.

Give customers instant answers to finance and accounting queries.

Automate repetitive support requests with an AI chatbot that securely retrieves information from your business systems.

The Solution

Turning Customer Queries Into Self-Service

Maruti Techlabs developed an AI chatbot using WotNot and Dialogflow to understand customer queries, retrieve relevant information, and reduce dependency on support teams.

Embedded the chatbot within the authenticated Escalon SaaS dashboard to protect sensitive financial information.

Embedded the chatbot within the authenticated Escalon SaaS dashboard to protect sensitive financial information.

The Journey

Tickets to Self-Service

Business Outcomes

Faster Answers, Fewer Support Tickets

87% Fewer Support Tickets

Daily inbound support ticket volume decreased by 87%.

93.75% Faster Resolution

Query resolution speed increased by 93.75%.

5.4M+ Annual Queries

The chatbot answered more than 5,475,000 queries annually.

25,306 Hours Saved

Automation saves more than 25,306 hours annually.

Predictive Data Queries

Customers could ask questions requiring information from multiple systems, such as whether they had enough funds to process payroll.

Scalable Customer Support

The chatbot handled high volumes of repetitive queries without proportionally increasing manual support workload.

Conclusion

The AI chatbot enabled customers to get finance and accounting information directly through the platform, reducing support dependency and improving response times.

Tech Stack

Chatbot & AI
Accounting & Development
WotNot
WotNot
Dialogflow
Dialogflow

Turn Repetitive Support Requests Into Self-Service

Give customers instant access to contextual answers while reducing support workload with AI-powered chatbot solutions.

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Phone

Frequently Asked Questions

The chatbot answered routine finance and accounting queries directly within the SaaS dashboard, allowing customers to retrieve information without raising tickets or contacting support.

The chatbot was available only to authenticated users within the Escalon SaaS platform, helping restrict access to financial information.

The chatbot used NLP, trained intents, and multiple utterances to identify variations of user queries while maintaining conversation context.

The chatbot could retrieve relevant accounting and finance information from QuickBooks based on the user's query and identified intent.

Queries outside the chatbot's trained capabilities were smoothly handed over to a human agent so customers could continue receiving support.