Autonomy accountability gate
Route selected autonomous actions through a bounded proof or gate layer before execution or post-action review.
Federal AI accountability
Mission decisions need proof when the network, tempo, or reviewer is unforgiving.
Federal AI and autonomy programs need more than a model output and an after-action log. Forge gives a program office, operator, mission-assurance team, inspector, or coalition reviewer a defensible proof trail: what evidence mattered, what rule applied, what uncertainty remained, and where human authority stayed.
Mission assurance
Autonomy gates
Edge decisions
Program review
Why it matters
Responsible AI needs evidence that can be reconstructed.
- Traceable decisions. Forge preserves the evidence, rule, uncertainty, and human-review boundary behind selected AI actions.
- Governable autonomy. Selected actions can clear a proof, gate, or enforcement boundary depending on the customer's deployment path.
- Denied or isolated environments. Proof trails are designed to verify without relying on live access to Forge.
- Procurement fit. The Forge solution was assessed as Awardable on the U.S. Department of Defense CDAO Tradewinds Solutions Marketplace.
What Forge gives a program office.
| 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 verification and deterministic replay support review in restricted, isolated, and customer-operated environments. |
| Honest limit | Forge does not claim FedRAMP, ATO, CMMC, or program-specific accreditation. It provides the proof trail that can support those review paths. |
First workflow candidates.
Program decision review
Show why a high-consequence program decision cleared, held, escalated, or required a human authority.
Mission assurance proof
Preserve evidence, uncertainty, policy, and reviewer context for contested or edge operating environments.
Bring one federal AI or autonomy decision.
Forge starts with a bounded workflow, synthetic or sanitized evidence where appropriate, and a clear review path for the program office and technical authority.