The architecture
Four layers. Sovereign Agent governs them all.
Each layer is independently deployable. Together they turn fragmented AI initiatives into a governed, auditable platform, with the AI Factory producing what runs on top.
Runtime layers
The stack, top to bottom.
Layer 4 · AI Enterprise Portal
Where people access AI, one governed front door.
App catalog · Role-based access · SSO · Cross-app search
Layer 3 · Sovereign Agent
FlagshipThe governance spine: every AI action passes through it.
Agent identity · Five-layer policy · Cryptographic audit · HITL oversight
Layer 2 · Agent Orchestration
How agents coordinate: workflows & delegation.
Multi-agent workflows · Delegation · Task routing
Layer 1 · Business Systems
Where it connects, your systems of record.
Salesforce · Workday · ERP · Databases · Vector stores
Cross-cutting
AI Factory
Produces what runs on top.
App builder · Agent config · Model selection · Testing · GenLLM · The Attic Custom
Deep dives
Pick the layer that matches your constraint.
Sovereign AgentFlagship
The governance layer every AI action passes through: agent identity, five-layer policy evaluation, cryptographic audit, human-in-the-loop oversight.
- Agent identity & 5-layer policy
- Cryptographic audit
- Human-in-the-loop oversight
AI Enterprise Portal
Unified interface where every employee accesses AI capabilities through one surface: app catalog, role-based access, SSO, cross-app search.
- App catalog
- Role-based access & SSO
- Cross-app search
Agent Orchestration
Multi-agent workflows, delegation chains, task routing, context management: coordination across apps and business systems.
- Multi-agent workflows
- Delegation chains
- Task routing & context
Business Systems
Connectors into your systems of record: Salesforce, Workday, ERP, databases, CDC pipelines, vector stores.
- Salesforce · Workday · ERP
- Databases & CDC pipelines
- Vector stores
AI Factory
Cross-cutting: custom model creation (GenLLM), agent configuration, app building, testing, deployment, the toolchain that produces what runs on the platform.
- Custom models (GenLLM)
- Agent config & app building
- Testing & deployment
Start with the layer. End with the platform.
Every engagement begins with a technical working session: bring your hardest constraint, leave with a concrete deployment plan.