AI can act.
It still needs a boundary.
GhostRouter is governed execution infrastructure for AI tools and agents. It places policy, authority and evidence between model intent and real-world effect.
Recommendation is not permission. A successful tool call is not proof of authorization.
The control point before consequence.
GhostRouter does not ask an AI model to police itself. It creates a separate execution path where identity, policy, bounded authority, runtime state and evidence can be checked before an action becomes real.
Control is different from confidence.
Bounded authority
Tool access is not treated as blanket permission. Authority can be scoped to a fixed capability and target.
Policy before effect
Execution is conditional on an explicit runtime decision, rather than inferred from model output or workflow success.
Evidence after decision
Receipts preserve what was attempted, what decision was made and whether target mutation or external effect occurred.
Not just an architecture diagram.
A live ChatGPT MCP call reached the local GhostRouter repository through the connected read-only tool, returned a durable receipt and reported no target mutation or external effect.
GhostRouter is built under TrustCore.
TrustCore is the governance control-plane direction. GhostRouter is the technical execution infrastructure where those boundaries become concrete, testable behavior.
TrustCore AI Systems Oy
Runtime governance, controlled execution and evidence-first infrastructure for enterprise AI.