A security-first support cockpit for teams that need tenant isolation, approval gates, audit evidence, and provider visibility before scaling AI-managed support.
Auth, signatures, tenant isolation, and executor gates work together.
Scale
Controlled
Durable work and queues absorb support load without hidden autonomy.
1.0
Govern AI without pretending it is an employee
Tier0 keeps AI useful and bounded. It can classify, summarize, draft, cite, and propose actions while humans and deterministic policy own outcomes.
Human approvals
Policy versioning
Structured AI outputs
2.0
Operate across teams and products
Enterprise teams can centralize support posture while projects keep their own domains, sender identities, sources, and rules.
Project isolation
Workspace roles
Provider readiness
3.0
Keep compliance review boring
Audit trails connect proposals, decisions, actors, policy, model metadata, and executor results so review is precise.
Operations
What this means in production.
These pages describe the product contract behind the UI, not a decorative brochure. Each surface should connect back to the same governed support loop.
Control boundary
No provider tokens in client UI.
Operator workflow
Support moves through secure ingest, AI preparation, human approval, outbound execution, and audit evidence.
Configuration impact
Provider setup, project policies, knowledge trust, retention, and billing limits decide how this behaves for a real workspace.
Proof points
Designed for governed support, not hidden autonomy.
No provider tokens in client UI.
No model-owned side effects.
Auth is revalidated beyond route interception.
References
Official stack and legal references.
These external links point to provider documentation, privacy notices, data-processing terms, or platform terms that shape production operation.