S/Runtime
Mission AI governance
Support mission, constituent, acquisition, case, and defense-industrial workflows with FedRAMP-aware cloud adoption, CUI controls, CJIS alignment, and auditable agent activity.
Each example starts with the work that slows down today, then names the context, controls, and outcome a pilot would need to verify.
Agencies lose time finding policies, decisions, grants, contracts, records, and program context across legacy systems.
S/Runtime gives mission teams permissioned answers with source lineage, record context, and reviewable summaries.
Controls to verify: Agency role scopes; Records retention; Sensitive data redaction; Citation requirements.
Defense and contractor teams need AI help without creating uncontrolled CUI exposure.
Context routing respects enclaves, labels, source permissions, and contractor role boundaries before prompts or actions.
Controls to verify: CUI labels; Enclave routing; Contractor access review; Exportable evidence.
Service teams must combine policy, eligibility, identity, correspondence, and case status with strong auditability.
Agents prepare cited recommendations and route high-impact actions through human review.
Controls to verify: PII minimization; Human oversight; Appeal evidence; Action logging.
The pilot scope should identify the applicable policy, the accountable reviewer, and the evidence required to reconstruct a consequential run.
Focus: Cloud security authorization, system boundaries, controls, agency authorization, and reusable evidence.
S/Runtime: System-boundary evidence, control mapping, audit-ready configuration, and agency-specific usage records.
Focus: Criminal justice information access, account validation, physical/logical protection, and audit expectations.
S/Runtime: CJI-scoped retrieval, user account validation evidence, access logging, and policy-aware agent action limits.
Focus: Protection of CUI and FCI in nonfederal systems and contractor environments.
S/Runtime: CUI labels, enclave-aware context routing, contractor access controls, and assessment evidence exports.
Focus: Records retention, public disclosure workflows, privacy constraints, and review traceability.
S/Runtime: Retention-aware context, records lineage, redaction support, and review queues for sensitive outputs.
Use workflow run traces and reviewer outcomes to compare “Evidence collection time” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “Case processing backlog” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “Program knowledge reuse” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “Contractor compliance readiness” with the agreed pre-pilot baseline.
Architecture session
We will map the context, systems, decisions, controls, actions, and success measures together.