Explicit capability, permission, policy, approval, action, and evidence concepts are built into the current Zeovoice backend architecture.
Built for trust.By design.
Governed AI employees with explicit permissions, deterministic policy, human approval, and evidence you can inspect.
Authority before autonomy
Capabilities, scoped permissions, deterministic policy, approvals, execution, and evidence.
Inspect security architecture ↗ VERIFICATIONProof of work
See what an evidence trail contains and how pilot outcomes should be verified.
Inspect proof ↗ OPERATIONSService status
Live health for the site/API plus the Better Stack monitoring path.
View status ↗ DATAPrivacy + retention
Review the current privacy draft and production-tool disclosures.
Review privacy ↗ ACCESSScoped integrations
Understand which systems are foundations, pilot connectors, or custom integration work.
Check integrations ↗ DEPLOYMENTProduction readiness
Assess the workflow, owner, knowledge, integration, and authority model before launch.
Assess readiness ↗The employees do not supervise themselves.
The AI Workforce Director gives Zeovoice a governed layer above individual employees: it can surface incidents, explain recommendations, test eligible improvements, and prepare decisions while consequential changes remain under human authority.
How the Director works →- Human approval remains explicit
- Recommendations carry evidence
- Eligible changes can be tested before approval
- Applied changes can be measured afterward
What we claim. What we do not.
Provider integrations, database migrations, runtime tests, monitoring, backups, and customer-specific access scopes still require environment-level validation before live customer traffic.
Zeovoice does not claim SOC 2, ISO 27001, HIPAA compliance, or other certifications unless and until those programs are actually completed and documented.