Inventory
Provider, model, version, license, data terms, region, deployment, owner, and retirement.
Trust / Responsible AI
Govern the model, system, decision, and outcome
Talvium's responsible-AI architecture uses inventory, provenance, evaluation, human authority, policy, monitoring, incident response, change control, and outcome evidence. It is informed by NIST AI RMF but does not claim NIST certification.
Governance program under development
Governance program under developmentcurrent lifecycle
Region-specificfuture availability
Evidencebefore commitment
Capability set
Capability scope
Evaluation
Mission quality, reliability, security, privacy, safety, fairness, explainability, and boundary conditions.
Authority
Allowed action, required human review, escalation, override, appeal, and prohibited autonomy.
Operations
Prompt and tool controls, monitoring, incidents, drift, changes, outcomes, and reauthorization.
Evidence matrix
What must be true before deployment
| Decision | Required record |
|---|---|
| Eligibility | Customer, mission, workload, data, jurisdiction, identity, device, and export conditions |
| Availability | Region, environment, service, configuration, quantity, delivery window, support, and exceptions |
| Control | Operator, network, keys, access, data movement, change, incident, recovery, and customer duties |
| Evidence | Owner, source, test or assessment, findings, limitations, approval, issue date, expiry, and revalidation |
Next decision
Convert the requirement into a bounded brief
Define the mission, jurisdiction, workload, sensitivity, environment, capacity, connectivity, continuity, timing, and evidence priorities without submitting restricted information.