THE AGENTCY METHODOne repeatable architecture methodology.
Architecture that compounds over time — reference patterns, governance models, and analyst-grade specifications that your engineering teams can implement against.
01
Sovereign by Design
Every architecture targets your infrastructure. Your runtime, your rules — no shared tenancy, no vendor cloud, no exfiltrated data.
02
Reference Architectures
Repeatable blueprints, refined into the Sovereign AI Software Stack. Your engineering teams implement; we govern the architecture.
03
Process Integration
Agents are architected to connect to your ITSM, SDLC, and approval workflows — designed to live inside the systems your teams already use, not around them.
04
Human Governance
Zero-trust, RBAC, and human-in-the-loop at every step. Auditable by default; deployable in regulated environments.
SAISS · SOVEREIGN AI SOFTWARE STACKThe reference architecture for sovereign agentic AI.
Seven layers. Every component substitutable. Every layer inspectable. Designed for enterprises that need to run on their own infrastructure — and the vendors that serve them.
L7
Governance & Policy
RBAC, audit logging, human-in-the-loop, policy engines, compliance attestation.
L6
Agent Orchestration
Multi-agent runtimes, planners, tool execution, state machines, eval harnesses.
L5
Models
Open-weight LLMs, fine-tuning pipelines, model gateways — vendor-substitutable by design.
L4
Knowledge & Memory
Vector indices, knowledge graphs, retrieval pipelines, long-term agent memory.
L3
Data & Integration
Real-time BI, ETL, change data capture, operational data fabric, ITSM connectors.
L2
Runtime
Containers, schedulers, service mesh, observability — the operational substrate.
L1
Sovereign Infrastructure
On-prem GPU, sovereign cloud, air-gapped enclaves — the physical perimeter your data never leaves.
Open source
SAISS is being authored as a living reference architecture. Specifications, layered diagrams, and architecture decision records will be published as the work matures.