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Gratona
OpenAI

AI

OpenAI

AI workflows with source context and human review

OpenAI provides models used by Tali workflows, while Gratona governs the data and review path around them. Only the permitted context needed for the task is sent rather than an unrestricted record set. Tali-prepared work keeps source context attached so a reviewer can verify the facts, edit the draft, and decide what should happen next. Donor-facing or external action waits for human approval. OpenAI states that API inputs and outputs are not used to train its models by default unless the customer explicitly opts in; applicable retention still depends on the API endpoint and the organization's data-control settings.

Getting started

  1. 1
    Review the data boundaries and what is sent to OpenAI
  2. 2
    Set which records and fields are in scope
  3. 3
    Require human review before any output is sent
  4. 4
    Confirm audit logging and run a test draft

Key features

Defined data boundaries on what is sent
Source context on Tali-prepared work
Human review before donor-facing or external action
Review and audit context for Tali workflows

Frequently asked questions

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