Debt Collection Services

• ►Collection & Recovery of delinquent portfolios and receivables
• ►Dispute resolution and escalation management
• ►Expertise in various legal tools for recovery Viz. Sec 138, Civil Suit, DRT,SARFAESI
• ►Experience in Skip tracing through online and offline tool
• ►Mitigate risk and handle setbacks
• ►Collection analytics and BI Reports
• ►Analysis of historical data and provide suitable framework
• ►Analysis of current environment & collection trends and provide improvement solutions

How to collabarate with us ?>

Final Step:

You sign an engagement letter to instruct us

Hospital and Corporate RecoveryServices

• ►Recovery of old and ongoaing receivables
• ►Claims follow-up: follow up with insurance companies to resolve any issues or denials and provide additional information or clarification as needed. communicating with insurance representatives, providing medical justifications, and appealing denials if necessary.
• ►Negotiation and reimbursement: Negotiate with insurance companies to settle payment disputes and resolve any discrepancies in reimbursement amounts. We work for maximize the hospital's reimbursement by advocating for fair and appropriate payment based on the services provided
• ►Denial management and appeals: If a claim is denied by an insurance company, we assess the denial reason, gather additional information, and file an appeal. They work to resolve the denials and secure payment for the hospital.
• ►Coordination with healthcare providers: Hospital insurance recovery work often involves collaborating with various healthcare providers, including physicians, nurses, and administrative staff. This collaboration ensures accurate documentation, appropriate coding, and effective communication to streamline the insurance recovery process

How to collabarate with us ?>

Final Step:

You sign an engagement letter to instruct us

Our Services

• ►Data Management Services
• ►MIS Services
• ►Data Analytics Services
• ►Reports Automation Services

Data Analytics and BI Solution

• Data analytics is the science of analyzing raw data to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.
• ►We help businesses to optimize their performances
• ►We help in business decisions and analyze customer trends and Streamline operations with data visuliation reports
• ►Analysis of historical data and provide suitable framework
• ► Analysis of current environment & collection trends and provide improvement solutions
• ►We use different types of Data Analytics types for data analysis, like

How we analyse the data?

Step 1

Determine data requirement, how data is grouped.

Step 2

Collection of data from different sources.

Step 3

Data cleaning and organizing data for analysis

Final Step:

• We use different method to analyse data and provide customised Reports and BI Platforms
1. ● Descriptive analytics - describes what has happened over a given period of time
2. ● Diagnostic analytics - focuses more on why something happened
3. ● Predictive analytics - moves to what is likely going to happen in the near term
4. ● Prescriptive analytics - suggests a course of action

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