AI In · Pattern
The agents your business uses
From desktop assistants to embedded SaaS agents to internal builds, the enterprise is now a consumer of agents at every layer of the stack. Dome governs the estate consistently with one authentication model, one policy engine, and one audit trail.
Enterprise agents
The agentic estate spans five layers
Each layer of the stack now ships its own agents, with its own identity model, tool surface, and model boundary. Governance coverage from the layer's vendor is uneven and rarely composes.
| Layer | Code | Tool | Model |
|---|---|---|---|
AI Platforms (AISP) e.g. Anthropic, OpenAI | Low | Full | Partial |
Cloud Platforms (CSP) e.g. AWS, Azure, GCP | Full | Full | Partial |
Data Platforms (DSP) e.g. Salesforce, ServiceNow, Databricks, Snowflake | Full | Partial | Low |
SaaS Application e.g. Writer, Harvey, Cognition | Low | Low | Low |
Individual (Dev, KW) e.g. Claude, ChatGPT, Cursor | Low | Partial | Low |
Coverage reflects governance you can rely on from the layer's own vendor. The gaps compound. An enterprise running fifty agents across a dozen tools has a qualitatively different problem from one running a single agent. Different identity schemes, different audit shapes, different policy languages, no consistency across the estate.
Fragmentation pressure
No single vendor governs the estate
The management plane that SaaS vendors used to bundle into their products (identity, policy, audit, compliance) is becoming the enterprise's direct responsibility. Pressure comes from two directions at once.
Velocity engineering from below
Product managers, analysts, and data scientists are building functional agents in hours. They have real problems and tools that solve them faster than they can be approved. The barrier to deployment is now a cron job.
SaaS fragmentation from above
Hundreds of agentic SaaS tools are spreading through the enterprise with minimal oversight. Each brings a new integration, a new permission scope, a new data flow that someone needs to govern.
The make/buy line moved
When you replace a SaaS tool with an agent-built alternative, you absorb the management plane the vendor used to provide. Identity, audit, compliance, incident response, all of it, for each system, from day one.
Governance debt compounds
Per-agent, per-tool, per-team solutions become more expensive and more fragile as the number of agents grows. The inconsistency compounds faster than the agents do.
With Dome
One operations layer across the estate
Whatever the layer, however the agent was built, Dome applies the same three operations: connect agents to tools and models through a governed path, secure every call against policy with end-to-end identity, and operate from a queryable audit trail.
Connect
Register agents from any source: SDK, sidecar, CLI, MCP. Attach tools through one gateway. Issue credentials. Route traffic through a governed boundary.
Secure
Evaluate every tool call against policy with full context. Propagate verified user identity end-to-end. Filter responses so that outputs are governed as well as inputs.
Operate
Record every governed action with full context: who, what, under which rule, with what result. Provision workspaces, manage membership, scale the estate.
Next steps
Pick an entry point
Most engagements start with one operational pain. Each maps to a Dome control point and composes with the others as the estate grows.