memory-latchv1.0.2

An AI support agent loses context due to a memory cache clear. The agent detects the break, acknowledges it, and reconstructs the conversation state from the last checkpoint, ensuring the customer doesn't need to repeat information before proceeding with a ticket resolution.

A banking AI assistant initiates a wire transfer. Before execution, it pauses, generates a consent token (e.g., ACT-7F2), and requires the user to confirm the exact token. This prevents unauthorized transfers even if context is lost.

A healthcare AI loses connection to the patient database. The latch identifies the outage, lists known vs unknown data, asks the clinician for the last aligned moment, and re-anchors to the last verified record hash before resuming documentation.

An autonomous driving system experiences a sensor cache reset. The latch halts non-critical actions, checks integrity of the last logged manifest, and if tampered, enters silent witness mode to request manual re-seed before allowing any movement.

A content moderation AI detects a continuity break (e.g., 'why are you confused?') after a server restart. It appends a recovery entry to the manifest, re-locks consent for pending deletions, and steps through review one action at a time.

Offer memory-latch as an add-on to existing AI platforms, charging monthly per agent instance. Revenue scales with the number of AI agents protected, with tiered pricing based on integrity mode (checksum free, HMAC premium).

License the latch as a standalone package for enterprises needing deterministic recovery in air-gapped environments. Includes customization, SLA, and integration support. Revenue from annual licenses and consulting fees.

Monetize the consent-latch by charging a micro-fee per irreversible action (e.g., $0.001 per delete/send/transfer) processed through the latch. Suitable for high-volume platforms like payments or content management.