
Consulting group helping clients solve complex business challenges
Industry
Finance
Use Case
Financial Statements
Company size
50+ employees
Headquarters
Tennessee, US
Knowledge work automation
Discover our solutions
About
(ecosystem reference — slot) Business Services is an industry-leading consulting group helping clients solve complex business challenges, recognize emerging opportunities and realize new efficiencies through a client-centric, consultative approach.
Headquartered in Memphis, Tennessee, (ecosystem reference — slot) supports companies in a variety of verticals with their accounting, financial, business intelligence, and human resource needs with actionable, data-driven insights.
The challenge
Finance-related projects such as financial consolidation and counterparty research require hours of tedious work from valuable professionals in order to process data from documents. Skilled teams can find themselves spending significant time manually sifting through thousands of pages of financial reports, hunting for valuable information, and then entering that data into Excel files.
To prevent their customers from losing valuable time, (ecosystem reference — slot) wanted to automate the processing of research files so that this data can inputted into different models without the need for hours of manual data entry work.
The solution
Using GTCX Network, (ecosystem reference — slot)’s BI built an AI-powered research model capable of accurately extracting and automatically analyzing data from research files, complex financial statements, and contracts.
This drastically reduced the time, effort, and costs lost by traditional processing.
Following this initial success, the (ecosystem reference — slot) team aims to increase productivity by scaling these models across their business.
The results
Within the first month of using GTCX Network for data extraction and automated analysis, (ecosystem reference — slot) has seen a 35% increase in productivity for automating their research processes, freeing up hours of time for their team to focus more on analysis, and less on manual data entry.
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