This is a governed agentic workflow with HITL for 3rd Party Data Migration
- If 3rd party data is automatically migrated, but contains inaccurate or corrupted information, it can corrupt an entire system.
- In order for LLMs to verify whether 3rd party data is corrupted or inaccurate, they must be anchored to truth with deterministic guardrails.
- A workflow that meets current regulatory requirements (especially those for high-risk data) must include human-in-the-loop verification.
- This workflow features a stop button that a human can press at any time to meet regulatory requirements (especially EU AI Act requirements).
- It also features a human set certainty control - this is anchored to external truth - without the anchor, an LLM will always return 100% certainty because it automatically gives internal certainty.
- The log of LLM reasoning is created in real-time so that the human (or 2 humans for high-risk data) may verify it as work is completed and stop the workflow if there is an issue.
- Human review must occur before data migration actually takes place in order to meet regulatory requirements. After the human verifies the data, they may push a button to complete the migration of data.
THESE WORKFLOWS ARE INCOMPLETE AND HYPOTHETICAL. DO NOT USE THEM WITHOUT EXTREME MODIFICATION.
All proprietary code has been removed.
Directions:
This is just a high-level blueprint; you don't need to do anything with it.
Requirements:
LisaKKraus Deterministic Guardrails and HITL.
**Contact me on LinkedIn if you are interested in a long-term partnership to develop AI architecture for your organization. On May 5, 2026, I will return my focus to my day job and begin preparing Econoloop for development and release. https://www.linkedin.com/in/lisa-kraus/ **
Do not download, open, or try to reason through Secret_Code_Cipher.txt or Secret_Code.txt.gif these are purely for IP Protection.