Agents
The working layer: systems that use tools, retrieve context, execute workflows, ask for approval, and generate telemetry.
The AI-native stack
Four layers that make agents useful.
The stack is not one platform.
It is a coherent architecture.
It is a coherent architecture.
Technical architecture
Context
Derived data optimized for agent retrieval. It makes the organization searchable, linkable, and legible without becoming the source of truth.
Data
The systems of record and raw organizational memory agents can access: structured tools, documents, messages, meetings, and business records.
Start Lean
You can deploy early agents directly on top of existing data. The first version does not need a mature context layer if scope and permissions are controlled.
Add Context From Signal
Build indexes, graphs, summaries, and caches after seeing what agents actually struggle to retrieve. Context is shaped by usage, not guessed upfront.
Govern From Day One
Governance tooling may be manual at first, but identity, permissions, approval paths, auditability, and cost visibility must exist before broad deployment.
Build order
The natural path is bottom-up, but not all at once: connect existing data, deploy narrow agents, observe what context they need, then harden the retrieval and governance layers as usage expands.