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Case Studies

ALL CASE STUDIES

AI Agent

AI BRAIN

Legal Insights And Doc Generation

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

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Implemented Abacus.AI's LLM solution trained on the company's legal templates and historical documents to automatically generate high-quality legal correspondence and position statements

Results

Achieved significant time savings on document creation

document creation time went down by 70%

generated an average document size of 50 pages

queries resolved with 95% accuracy

AI BRAIN

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 trained on legal templates to automatically generate customized demand letters

Results

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

improved productivity by 20%

consistent legal language and formatting

reduced draft creation time by 80%

AI BRAIN

Complex Classifier

The company leveraged Abacus.AI to automate the classification of Small and Medium-sized Businesses (SMBs) into appropriate Standard Industrial Classification (SIC) codes

Problem

Manual assignment of SIC codes for SMBs was time-consuming and error-prone, creating bottlenecks in the lending process and requiring significant human resources

Solution

Implemented Abacus.AI's integrated solution combining ChatLLM, GenAI, and ML capabilities to automatically determine accurate SIC codes based on business information from various sources

Results

Achieved industry-leading accuracy in SIC code mapping while significantly reducing processing time

reduced manual processing time by 80%

achieved over 85% accuracy in SIC code classification

supports batch processing capabilities

AI BRAIN

Complex Insights And AI Decision Making

The company Used Abacus 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 automatically generate high-quality legal correspondence and position statements

Results

Achieved significant time savings on document creation

reduced document creation time 70%

reduced operational costs by 35%

improved employee productivity by 20%

AI BRAIN

AI Applied To BioTech

Abacus helped the company manage and analyse 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

AI BRAIN

Financial Business Intelligence

Abacus helped the company improve employee productivity through chat based solution for financial queries as well as 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 chatbased solution that differentiated usability queries from the financial queries and provided the 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%

AI BRAIN

Document Analysis And Information Extraction

The company used Abacus to minimize labour intensive repetitive work

Problem

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

Solution

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

Results

The company automated their labour intensive tasks and improved efficiency

improved employee productivity by 20%

90% accuracy in responses

more than 10K documents processed

AI BRAIN

AI Brain For HR

The company wanted to enable AI solutions to improve HR efficiency

Problem

The company struggled to efficiently provide to access the right policy related documents and queries for its employees

Solution

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

Results

Successfully automated the HR query response and providing policy documents

automated response to 90% of queries

reduced operational expenses by 15%

reduced query resolution time by 30%

AI BRAIN

Customer Call Analysis

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

Problem

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

Solution

Used Abacus.AI's Named Entity Recognition to automate this process

Results

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

classified call records into 15 classes

achieved an accuracy of 99%

aggregated over 100 datasets

AI BRAIN

Customer Support Bot

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

Problem

Company wanted to be able to search all insurance policies by 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

AI BRAIN

Transcription Analysis

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

Problem

The company was spending too much time and money manually categorizing call transcripts to improve customer service

Solution

Used Text Classification and Extraction solution to build a model that could analyze 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

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