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Case Studies

ALL CASE STUDIES

Generative AI

Optimization

Structured ML

GEN AI

Legal Insights And Doc Generation

The company leveraged Abacus.AI's generative AI capabilities to automate and streamline its legal document generation process

Problem

The company's legal team spent significant time manually drafting repetitive legal documents and position statements, which reduced efficiency and increased operational costs

Solution

Implemented Abacus.AI's LLM solution, trained on the company's legal templates and historical documents to automatically generate high-quality legal correspondence and position statements

Results

Document generation time was reduced significantly

document creation time went down by 70%

generated an average document size of 50 pages

queries resolved with 95% accuracy

GEN AI

Complex Doc Generation

The law firm utilized Abacus.AI's generative AI capabilities to automate the creation of demand letters

Problem

Manual creation of demand letters was time-consuming and resource-intensive, requiring significant attorney and paralegal time

Solution

Implemented Abacus.AI's LLM solution and trained on legal templates to generate customized demand letters automatically

Results

Successfully demonstrated the ability to generate accurate and legally compliant demand letters

improved productivity by 20%

consistent legal language and formatting

reduced draft creation time by 80%

GEN AI

Complex Insights And AI Decision Making

The company used Abacus.AI to process court decisions and self-enabled the ability to aggregate findings from court decisions

Problem

The company's legal team was spending significant time manually drafting repetitive legal documents and position statements, leading to reduced efficiency and increased operational costs

Solution

Implemented Abacus.AI's LLM solution trained on the company's legal templates and historical documents to generate high-quality legal correspondence and position statements automatically

Results

Achieved significant time savings on document creation

reduced document creation time 70%

reduced operational costs by 35%

improved employee productivity by 20%

GEN AI

Financial Business Intelligence

Abacus helped the company improve employee productivity through chat-based solutions for financial and usability queries

Problem

The employees in the company struggled to access and get financial information from portfolio and transactional data

Solution

Abacus helped the company with a chat-based solution that differentiated usability queries from financial queries and provided query responses from Zendesk and Portfolio, transactional data, respectively

Results

Implemented the Abacus AI solution and achieved 95% accuracy in response rate

95% accuracy in query response

35% reduction in query resolution time

reduced operational expenses by 20%

GEN AI

Document Analysis And Information Extraction

The company used Abacus to minimize labor-intensive, repetitive work

Problem

The company wanted to minimize the labor-intensive tasks of extracting information from large volumes of documents

Solution

Abacus provided a chat-based GenAI solution that helped the employees extract information efficiently

Results

The company automated its labor-intensive tasks and improved efficiency

improved employee productivity by 20%

90% accuracy in responses

more than 10K documents processed

GEN AI

AI Brain For HR

The company wanted to enable AI solutions to improve HR efficiency

Problem

The company struggled to efficiently provide access to the correct policy-related documents and queries to its employees

Solution

Abacus provided a chatbot to retrieve relevant HR documents and policies efficiently and answer queries accurately

Results

Successfully automated the HR query responses and provided relevant policy documents

automated response to 90% of queries

reduced operational expenses by 15%

reduced query resolution time by 30%

GEN AI

Customer Call Analysis

The company used Abacus.AI to identify key pieces of information from customer call transcripts and classify them

Problem

The company wanted to reduce costs by automating the categorization of calls based on the transcripts

Solution

Used Abacus.AI's named entity recognition model to automate this process

Results

Achieved 99% accuracy in classifying calls, saving multiple hours of human effort

classified call records into 15 classes

achieved an accuracy of 99%

aggregated over 100 datasets

GEN AI

Customer Support Bot

Used Abacus.AI to create DataLLM for all customer insurance policies

Problem

The company wanted to be able to search all insurance policies based on various data fields

Solution

Used Abacus.AI data LLM to index and enable search on all policies

Results

Saved millions of dollars in support agent time and improved customer satisfaction scores

30% decrease in daily support time

20+ searchable fields

millions of documents processed

GEN AI

Transcription Analysis

The company used Abacus.AI to streamline customer service operations by automating the analysis of call transcripts

Problem

The company spent too much time and resources manually categorising call transcripts to improve customer service

Solution

Used text classification and extraction solutions to build a model that could analyse the call transcripts

Results

Increased workplace efficiency, nearly eliminating manual reviews

improved productivity by 30%

automated transcript reviews with 99% accuracy

aggregated data from 100+ datasets

GEN AI

Financial Analysis

The company leveraged Abacus.AI's AI Workflows and GenAI solutions to answer complex financial queries

Problem

The company struggled to manage and provide efficient access to data and the ability to derive insights from the large and complex data that existed

Solution

Abacus.AI helped the company convert natural language queries to SQL queries to get accurate results with APIs as complex as that of with 30k endpoints

Results

The company used Abacus.AI's AI Workflows to work with their complex APIs

20% increase in operational efficiency

achieved 80% accuracy in data extraction

works with APIs with more than 30k endpoints

GEN AI

Shopping Recommendation Engine

The company implemented Abacus.AI's AI Workflows to enhance customer service and offload general tasks from employees

Problem

The company faced challenges in providing efficient and personalized customer service experiences

Solution

Abacus implemented an AI-driven web application for in-store customers, which provides personalized product recommendations and a chatbot to answer queries

Results

Improved customer experience

20% decrease in customer fall-offs

automated 80% of Customer support

reduced operational costs by 10%

GEN AI

AI Applied To BioTech

Abacus helped the company manage and analyze large data from thousands of lab experiments

Problem

The company struggled to find an efficient system to track multiple concurrent experiments and query historical results, causing reduced productivity and knowledge gaps

Solution

Implemented a specialized ChatLLM interface that processes tabular experiment data, enabling users to query historical experiment results and generate aggregated insights across multiple experiments through simple natural language prompts

Results

Improved productivity and access to data to derive meaningful insights for the users in the company

55% improvement in overall productivity

50% reduction in time spent in retrieving data

60% reduction in time spent on data analysis

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