AI at Work:
The Challenge for IT
Research by MIT, Stanford, and McKinsey, shows:
Worker productivity can be boosted 15-40% with the help of generative AI.
60 % of workers, want to use generative AI more often in their jobs. (D2l Survey)
Addressing Key
AI Concerns
Despite the benefits, generative AI presents multiple challenges for IT including:
- Keeping data secure and ensuring proprietary information is not used to train public AI models.
- Managing AI platform costs, including per-seat license fees and per-token usage costs.
- Ensuring responsible usage for legitimate work-related purposes.
How Parrotbox Helps
IT Departments
Manage AI
Parrotbox is a proxy that sits between end users and generative AI platforms, ensuring that employees can only interact with approved prompts engineered for specific business purposes, and providing additional features to limit generative AI usage and monitor interactions.
Key features for IT:
Third-Party Retrieval Augmented Generation (RAG) Integration to ensure documents stay on a secure account you control.
Time limits, message limits, and ending conditions to manage per-user access and ensure usage stays focused on work tasks.
Features to manage costs including “load balancing” across multiple AI accounts and models (e.g. ChatGPT 3.5 vs. 4).
Training Data Reporting to outside earning Management Systems when using AI for training programs.
Audio input to improve accessibility.
Export transcripts via API to a database or file for auditing and monitoring of use.
Prompt Engineering Tools to improve the reliability and accuracy of output.
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