AI case study

Automated finance processes

by
Fanatics Betting and Gaming
Context

Fanatics Betting and Gaming uses ChatGPT and custom GPTs across its finance department to automate vendor identification, contract summarization, and data analysis, freeing up time for strategy and higher-impact work.

Results

Saved 18 hours per month on vendor identification. Reduced time to close books.

Results not reported in the source
Published
February 13, 2025
Agent type
Employee Agents
AI provider
OpenAI
Models/tools
Not disclosed
ICE score
320
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
8
Confidence
8
Ease
5

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companies using

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68

solutions powered by

OpenAI

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Efficient customer support interactions
Context

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Use case
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