I've been experimenting with using Gemini 3 and Azure Logic Apps to enhance Loan State Ledger by using AI Agents to integrate with another application that I have been working on. Pakana is designed to handle Contractual Commitment or Lien-Release and Waiver processing. For milestone or deliverable-based projects using a Conditional and Un-Conditional Release workflow for payment approvals and disbursements.
Loan State Ledger could integrate with that through its custom API This would make it much easier for these types of loans to be utilized for real property and intellectual property development.
What''s unique about Pakana is that if utilizes the customer's own cloud (OneDrive, Google Drive, S3, DropBox, etc.) and email (Microsoft 365, GMail, etc.) and their other communications services, like Teams or Slack for example to handle document and media storage, communications, and notifications. Loan State Ledger would work the same way. This is further combined with either a blockchain or Microsoft Ledger DB to provide immutable transaction proofs through on-chain $0 transactions with hashed pointers to the private data. But all the data stays under the control/custody of the stakeholders. I used the Stellar Distributed Ledger in Pakana because it has multi-signature accounts baked in without smart-contract risk. However, its al abstracted away, the User doesn't really perform any blockchain operations or has to use MetaMask.
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