01
Contain AI authority
Separate increasingly capable requesters from the authority to act on connected equipment.
LatSync / Enterprise Technology
AI can analyze, recommend, and request. The equipment affected by an instruction must still determine whether that instruction is permitted.

AI Meets Device Authority
An AI agent may identify a problem and propose an action. A recognized system may send an instruction. Neither fact alone makes the action authorized.
LatSync's bilateral-governance architecture separates the requester from the participant that has to live with the result.

Requester
AI / Enterprise System
Requests a configuration change
Authority
Receiving Device
Checks its own relationship and permissions
Instruction is within granted authority.
Decision and evidence remain attributable.Instruction exceeds the requester's authority.
The device does not accept it merely because AI asked.What this adds to an enterprise
01
Separate increasingly capable requesters from the authority to act on connected equipment.
02
Keep governance at participating devices, instead of assuming every decision belongs upstream.
03
Use persistent identity and relationship history as context for evaluating instructions.
04
Keep an attributable record of observations and governance events for technical review.
Existing Software & Hardware Proof
LatSync has working software and verified hardware demonstrations. The original Governance Console image below is retained as a real product screenshot, not recreated artwork.
console_image.png was not present in the files supplied for this draft. Copy that exact original file alongside enterprise.html; it will appear here unchanged.Two Raspberry Pi devices running different operating systems independently established a governed bilateral relationship.
LatSync Alpha01 recognized unfamiliar outbound-service behavior and recorded it as evidence.
Participating LatSync systems, including the router, bridge, and Mac, communicated observations through governed relationships.
Technology Discussion
Explore a specific device, AI workflow, or network environment. The question is not whether it can receive an instruction—but where authority should reside.
Discuss an Enterprise Scenario →