Building A.I. Apps on OpenAI

Here is a breakdown of the benefits of using RAIA RAMP to build, manage and launch A.I. Assistants on the OpenAI Platform.

RAIA If you Build your Own
Built on OpenAI
Access to OpenAI API
Benefits of Future Models
Launch A.I. Assistant
Assistant Management Admin Requires development of an admin application to update and manage A.I. Assistants which includes ability to update instructions, upload files for training and update model. Creating an abstraction layer on top of OpenAI allows you to provide access to team members to launch A.I. Assistants.
Supports SMS (Inbound / Outbound) Requires integration with SMS Provider and development of messaging service to manage incoming and outgoing messages from A.I. Assistant.
Supports Email (Inbound / Outbound) Requires integration with Email Provider and development of messaging service to manage incoming and outgoing messages from A.I. Assistant. Also requires support for personalized domain and DNS Setup.
Supports Voice (Inbound / Outbound) Requires integration with Voice Provider and Generative A.I. Voice. For scale and to reduce latency, application would require additional functionality for building out voice campaigns.
Support Live Chat Requires development of live chat software or integration with 3rd party.
Conversation Search Requires custom development with OpenAI API. Additional requirements include ability to summarize, score and analyze conversations.
User Search Requires custom development to allow for capture of user data, parsing conversations, imports.
Outbound Campaigns Requires custom development of building mass messaging application or integrations with 3rd party.
Access Control Requires building access control (login account, access profiles) for Assistants.
Webhooks Requires building API and Webhook functionality for conversations.
Usage Tracking Requires developing code to tracking token usage, reporting and alerts.
Memory Requires developing ability to store and retrieve consolidated conversations as memories.