Migrating Tax Automation Legacy Application To Automate 1040 Process

Migrating Tax Automation Legacy Application To Automate 1040 Process

Tech Stack

  • .Net core
  • Angular
  • Azure cloud
  • jQuery
  • Microsoft SQL Server
  • Python
  • Web API

About Client

Leading in 1040 tax automation for CPA firms, the client provides innovative, comprehensive, and productive tax automation solutions that include scan and populate with an optional OCR verification service, outsourcing and a two-time award-winning mobile solution that eliminates the paper organizer. Their solutions are utilized by nearly 20,000 tax professionals at CPA firms large and small, ranging across the spectrum from Big 4 firms to sole practitioners.

About Product

The requirement was of.Net MVC-based application development and having the proper workflow that follows the process of income tax filing. Creating documents in format Income Tax, CCH third-party software in a bind with the US government, Filling the form sending data to CCH and pulling back, etc. The building of an application based on.Net MVC was required, as was the provision of an appropriate workflow that tracks the steps involved in the process of submitting income taxes. Brainers created papers in the format of Income Tax, CCH third-party software being in a bind with the United States government, filling out the form, sending data to CCH, and retrieving data back, etc.
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before

The Challenges

before-ring
Detect Discrepancies or Errors:

The process of verifying the accuracy of the form by cross-referencing the information with other databases and systems was time consuming.

Detect Discrepancies or Errors:
Anomaly detection and natural language processing (NLP) are two main AI techniques used to detect discrepancies or errors in a 1040 form. Additionally, we also made use of AI-powered cognitive services.

Solution

The Challenges

Detect Discrepancies or Errors:
The process of verifying the accuracy of the form by cross-referencing the information with other databases and systems was time consuming.

Anomaly detection and natural language processing (NLP) are two main AI techniques used to detect discrepancies or errors in a 1040 form. Additionally, we also made use of AI-powered cognitive services.

Detect Discrepancies or Errors:

Result

  • Automate Detection
    Automate the process of verifying the accuracy of the form by cross-referencing the information with other databases and systems. Enabled Detection of any potential errors or discrepancies in the data provided by the customer.
  • Increased Client Satisfaction
    The client improved customer satisfaction by providing tax info. The new system's adaptable architecture meets the customer's current and future business needs. We built a web-based stateless multi-tier system and added to its predecessors' features.
  • Automate the tax calculation
    This eliminated the need for manual calculations and provides an accurate, up-to-date view of the individual's total tax liability.The application also provides a comprehensive overview of their taxes due, allowing users to make informed decisions about their taxes.
  • Effective Load Management
    Our team provided the appropriate level of automation with Cloud computing, which assisted the client in effectively managing the required level of burden.

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Client Testimonials

Deepak Parekh
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If any urgent needs arise, I can count on them to take care of things. Their deliverables are reliable thanks to vigorous QA testing. They are communicative, flexible, and willing to evolve to meet changing needs.
Deepak Parekh
Director - SurePrep
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224 Reviews

The platform has launched with minimal bugs and accurate data transfer. Brainvire Infotech Inc delivered high-quality development work and support promptly. Despite some ambiguities in the beginning, the team accommodated delays, communicated well, and showed expertise from start to finish.

Frank Disalvo
Vice President, Metalworking Machinery Dealer
5
5 years ago