Exact-version qualification
Registration, evidence binding, and version-specific findings across the agreed agent scope.
GhostGate AI Agent Qualification Pilot
For organizations preparing consequential AI agents for production and needing broader qualification across multiple agents, versions, workspaces, policies, and deployment workflows.
Standard engagement
01 / Standard scope
The standard pilot constrains the organization, workspaces, versions, policies, scenarios, and working sessions so the engagement can reach an evidence-backed release decision in six weeks.
02 / Decision package
The result is a defensible decision on which exact AI-agent versions may proceed, under what restrictions, with what evidence, and when requalification is required.
03 / What the price covers
The pilot combines repeatable GhostGate software with the human work required to make qualification relevant to the customer’s actual release boundary.
Registration, evidence binding, and version-specific findings across the agreed agent scope.
Interpretation of behavior, permissions, causality, fleet relationships, and material change.
Two policy packs aligned to the customer’s authority, risk, and human-approval requirements.
Forty agreed scenarios focused on the consequential release questions in scope.
Cross-agent relationships, shared identity, shared dependency, and potential outbreak clusters.
Version-bound attestations and a sanitized archive suitable for technical and governance review.
Working sessions to establish scope, calibrate policy, inspect findings, and make release decisions.
A closeout that translates technical evidence into production conditions and requalification triggers.
Direct delivery across qualification design, review, evidence, and closeout.
04 / Commercial terms
Expanded qualification
The first conversation is a 20-minute technical review. Teams with one exact release decision can begin with the fixed Release Check.