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Implemented Abacus.AI's LLM solution, trained on the company's legal templates and historical documents to automatically generate high-quality legal correspondence and position statements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
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 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%
AI BRAIN
Complex Classifier
The company leveraged Abacus.AI to automate classifying 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.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%
AI BRAIN
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
AI BRAIN
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%
AI AGENTS
Financial Analysis
The company leveraged Abacus.AI's AI Agents 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 agents 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
AI BRAIN
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
OPTIMIZATION
Marketing Spend Optimization
The company used Abacus's traffic forecasting model to find the optimal distribution of the marketing budget across different media channels
Problem
The company needed help optimizing for maximum footfall in their retail stores for a fixed marketing budget
Solution
Abacus provided a traffic forecasting model and an optimization tool to optimize the distribution of the marketing budget across different media channels
Results
Accurate traffic predictions and efficient allocation of marketing spends
96% accuracy in traffic predictions
forecasts up to 13 weeks in advance
15% increase in footfall
OPTIMIZATION
Price Optimization
Abacus helped the company discover the ideal price point for its products, optimizing for the highest revenue/profits
Problem
The company struggled with figuring out the ideal price points for its product
Solution
Abacus provided a regression model to deduce the products' price sensitivity and ideal price point
Results
The company improved profits and revenue
improved net profits per guest by 10%
90% accuracy in price sensitivity deductions
ease of price experimentation without losing customers
AI AGENTS
Shopping Recommendation Engine
The company implemented Abacus.AI's AI agents 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%
AI BRAIN
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%
STRUCTURED ML
Predictive Models In Sales And Marketing
The company used Abacus.AI to score and prioritize leads to efficiently allocate its sales and marketing resources
Problem
The company wanted to optimize marketing and sales resources by prioritizing the leads to target
Solution
Trained and deployed an Abacus.AI lead scoring model that helps the company determine the top leads to target
Results
Lead scoring helped the company optimize its sales & marketing resources and achieve higher growth
7X improvement in conversions
trained on ~10M leads
handled 2Bn+ events
STRUCTURED ML
Anomaly Detection
The company used Abacus.AI to build an anomaly model to detect quality of service issues
Problem
Reduce churn by proactively reaching out to customers experiencing quality of service issues
Solution
Used Abacus.AI anomaly detection model to identify abnormalities in user session data
Results
Identified 12 types of service issues that could cause a customer to churn using three different methods
processed user session data from 2.5M customers in real-time
calibrated on 2+ TB of data and over 1Bn events
identified 12 types of service issues
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 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
AI BRAIN
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
AI BRAIN
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
Solar Quote utilised Abacus.AI's computer vision capabilities to automate the detection of home roofs, angles, and obstructions, streamlining the solar panel placement process
Problem
The manual process of assessing home roofs for solar panel placement was time-consuming, prone to errors, and required significant human effort, leading to inefficiencies in project timelines
Solution
Implemented Abacus.AI's computer vision solution to analyse visual data of home roofs, automatically detecting roof angles, obstructions, and other relevant features to optimise solar panel placement
Results
The process of roof assessment and solar panel placement planning was significantly streamlined, improving operational efficiency