Twig vs ChatGPT Enterprise
Can you use ChatGPT Enterprise in the place of Twig as a CX CoPilot?
A common question CX leaders face is whether to use ChatGPT for their customer-facing teams. Here is a comparison of ChatGPT enterprise and Twig that should help you learn about this topic in detail.
Enterprise Needs | Twig | ChatGPT Enterprize |
---|---|---|
Do I need to train on Private Data? | Built-in support for private data sources | Requires engineering-time and development to use APIs to train |
Do I need AI to handle Personal Identifiable Information (PII) Data | Built-in PII Sanitizers | Requires Engineering time and development to use APIs to train |
Are hallucinations [retrieving answers from internet corpus rather than customers' data] a concern | Retrieval Augmented Generation, ensures responses are either from customer data or no answer is given | The generic chat model is known for hallucinations. Hense cannot be trusted on private data. |
Do I need Human-In-Loop control over AI | Edit AI responses that are used in future interactions | No human-in-loop training |
Do I need to keep AI Up-to-date with the latest information? | Automated refreshes keeps AI up-to-date with the latest product and operations information | Requires engineering-time to setup automation |
All of this is early will the vendor listen and work with us to improve the product per our needs | Twig pushes weekly updates the product 80% of refinements are from our user feedback | OpenAI has 21M users. Getting your feedback prioritized on their product roadmap is a challenge. |
Support and Service | Twig assigns a customer success person | Very limited support |
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