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AI-Powered Financial Reporting

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CASE STUDY
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AI-Powered Financial Reporting

Our AI-driven dynamic solution for financial reporting saves days of processing time and enables intuitive interaction through chat-based querying.
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AI
Casestudy About 1
OVERVIEW

Quarterly Finance Reports in Seconds

Casestudy About 1
Our client was spending a lot of time and effort to prepare quarterly financial reports for their investors and was looking for options to automate their process. With the dawn of GenAI solutions, we recommended both a conventional way or a more advanced solution powered by AI and they were very much interested in our GenAI solution. By leveraging advanced machine learning algorithms, our system dynamically creates mapping files based on the files provided by the user, automating the report generation process with the categorization of expenditures and incomes. Additionally, the integration of chat-based querying enhanced user interaction by enabling seamless data retrieval and analysis.
HIGHLIGHTS
02

Automation Test
Engineers

3750+

Test
Cases

  • Higlight Arrow RightNo Cost POC to build the client’s confidence of our capabilities
  • Higlight Arrow RightReduction of processing time by over 80%
  • Higlight Arrow RightIntegration of chat-based querying for intuitive data retrieval and analysis
  • Higlight Arrow RightAutomation of mapping file creation based on the input files
TOOLS

Tools we Used

PROBLEM STATEMENT

The Countless Challenges

Casestudy List 1
  • Union IconFinancial data often comes in various formats and structures, posing challenges in standardization and categorization to automatically generate mapping files.
  • Union IconAI models had to be adapted to diverse categorization guidelines and complex financial transactions involving multiple categories or entities and rules provided by the users during the training phase to facilitate the required flexibility and scalability.
  • Union IconIn addition to the technical expertise, the level of domain expertise required was also a challenge in developing the solution as the model had to be trained with a lot of existing data, mapping files, and reports by understanding the nuances.
  • Union IconEnsuring compliance with financial regulations and reporting standards such as GAAP.
  • Union IconThe system had to process user queries in real-time for efficient data retrieval and analysis with minimal latency during chat-based querying.
  • Union IconThe generated reports had to be 100% reliable and accurate down to the penny as even a small deviation in reports with huge values could result in big losses.
Casestudy List 1
Casestudy List 2
PROBLEM STATEMENT

Our Flawless Solutions

Casestudy List 2
  • Union IconImplemented robust data validation and cleansing techniques to ensure data quality and consistency before processing.
  • Union IconDevelop custom AI algorithms and use it along with existing frameworks for dynamic mapping and categorization of financial data, ensuring adaptability to diverse guidelines.
  • Union IconTrain AI models on large and diverse datasets of financial reports to enhance accuracy and relevance across various scenarios.
  • Union IconOptimize chat-based querying algorithms for real-time processing and efficient data retrieval, minimizing latency and enhancing user experience.
  • Union IconUtilized the DeepEval framework for comprehensive model evaluation and quality assurance to ensure reliable results.
  • Union IconImplement encryption and access controls to ensure compliance with financial regulations and reporting standards, safeguarding data integrity and privacy.
  • Union IconProvide comprehensive user training sessions, tutorials, and documentation to educate users on system functionalities and best practices.
TESTIMONIAL

What the Client Loves About Us

Casestudy Client 1
Mr. RENIT DANIEL

CEO OF ELAS

  • Union IconOur expertise in automation that helped automate most of the required scenarios.
  • Union IconNo history of any escalation.
  • Union IconOur consistency in keeping up with the deadline by being on time every time.
  • Union IconOur ability to explore new tools & technologies and successfully implement them to enhance our testing services.
Mr. RENIT DANIEL

CEO OF ELAS

Casestudy Plans 1
PLAN

Future Plans

Now that they have successfully completed the core functionalities of the web app that will be used by both
the customers and the bank has been completed, they have their eyes set on creating a dedicated web app for
the warehouse processes. We started working on this project back in 2018 and have become an integral part of their team. The clients are so happy that they are not even looking for any options beyond us due to the standout services we have rendered thus far

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AI Discharge Summary Generator

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CASE STUDY
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AI Discharge Summary
Generator

Developed an AI-driven discharge summary generator that integrates data extraction and speech-enabled report generation.
"
AI
Casestudy About 1
OVERVIEW

Streamlining Healthcare Documentation

Casestudy About 1
A pressing challenge faced by hospitals is the time-consuming process of creating discharge summary reports for patients. Discharge summary reports are vital documents that encapsulate a patient’s medical history, treatment received, and post-discharge instructions. However, crafting these reports manually is labor-intensive and time-consuming for healthcare professionals. By leveraging AI, the aim was to create a speech-enabled report generator and to automate this process as much as possible. This case study delves into the technical intricacies and solutions employed to create a robust and efficient system tailored to the hospital’s specific needs.
HIGHLIGHTS
02

Automation Test
Engineers

3750+

Test
Cases

  • Higlight Arrow RightReduction of report generation time by 70%
  • Higlight Arrow RightIntegration of AI for data extraction and speech-enabled report generation
  • Higlight Arrow RightIntegration with Electronic Health Record (EHR) systems
TOOLS

Tools we Used

PROBLEM STATEMENT

The Countless Challenges

Casestudy List 1
  • Union IconAccurately extract data from the highly variable report formats and structures across different departments and specialties.
  • Union IconIt was crucial to adapt the AI models to local medical terminologies, abbreviations, and dialects to ensure ease of use.
  • Union IconIntegrating the solution with different existing hospital systems such as Electronic Health Records (EHR) and Picture Archiving and Communication Systems (PACS)
  • Union IconMinimizing latency with speech recognition and report generation was critical as the users had to view real-time results to be confident about the final report.
  • Union IconBeing a rapidly evolving industry, continuous model training and refinement to improve accuracy and relevance over time was essential.
  • Union IconThe accuracy was of paramount importance as it is a solution to be used in the healthcare industry. So we had to utilize a lot of evaluation models to ensure the best results.
Casestudy List 1
Casestudy List 2
PROBLEM STATEMENT

Our Flawless Solutions

Casestudy List 2
  • Union IconText mining algorithms and sentiment analysis were employed to parse through unstructured data and identify key elements such as diagnoses, treatments, and patient demographics.
  • Union IconMachine learning models were trained on a diverse dataset of discharge summaries to enhance accuracy and adaptability to variations in reporting styles and formats.
  • Union IconOptimization of speech recognition algorithms for real-time processing and accurate transcription of voice inputs.
  • Union IconSeamless integration with existing hospital systems through APIs and standardized data formats.
  • Union IconUtilized the DeepEval framework for comprehensive model evaluation and quality assurance to ensure reliable results.
  • Union IconImplementation of encryption and access controls to ensure compliance with healthcare data privacy regulations.
TESTIMONIAL

What the Client Loves About Us

Casestudy Client 1
Mr. RENIT DANIEL

CEO OF ELAS

  • Union IconOur expertise in automation that helped automate most of the required scenarios.
  • Union IconNo history of any escalation.
  • Union IconOur consistency in keeping up with the deadline by being on time every time.
  • Union IconOur ability to explore new tools & technologies and successfully implement them to enhance our testing services.
Mr. RENIT DANIEL

CEO OF ELAS

Casestudy Plans 1
PLAN

Future Plans

Now that they have successfully completed the core functionalities of the web app that will be used by both
the customers and the bank has been completed, they have their eyes set on creating a dedicated web app for
the warehouse processes. We started working on this project back in 2018 and have become an integral part of their team. The clients are so happy that they are not even looking for any options beyond us due to the standout services we have rendered thus far

Register Now

(The file size cannot exceed 2MB)
(The following file types are supported: DOC, PDF.)