Autonomy accountability gate
Record selected autonomous actions for review. Before-execution control requires a customer-deployed, validated, exclusive protected boundary.
Federal AI accountability
A program reviewer needs to see more than the model's answer. Forge records the supplied evidence, applied rules, uncertainty and human approval requirements behind selected decisions. Program offices, operators and mission-assurance teams can inspect that trail without reconstructing the decision from memory.
| Decision proof | A bounded disposition such as proceed, hold, escalate, abort, or a customer-defined equivalent, tied to the evidence and mission rule. |
|---|---|
| Human boundary | The proof trail shows where a person reviewed, where a person was required, and what the system was not allowed to decide alone. |
| Verification path | Offline signature verification does not require a network call to Forge. Running the engine in a restricted or isolated environment is a separate deployment claim requiring qualification. |
| Honest limit | Forge does not claim FedRAMP, ATO, CMMC, or program-specific accreditation. It provides the proof trail that can support those review paths. |
Record selected autonomous actions for review. Before-execution control requires a customer-deployed, validated, exclusive protected boundary.
Show why a high-consequence program decision cleared, held, escalated, or required a human authority.
Preserve evidence, uncertainty, policy, and reviewer context for contested or edge operating environments.
Forge is live and tested, at design-partner stage. It starts with a bounded workflow, synthetic or sanitized evidence where appropriate, and a clear review path for the program office and technical authority. Forge is one API: the base URL picks the host, so customer-operated and isolated deployment is the same code and the same contract, not a second architecture. Any given environment still requires workload, environment, security, operational, and accreditation qualification.