01
Source systems remain authoritative
Steerlane's integration design references source-native metadata, revisions, evaluations and approval tasks. It does not imply ownership of the source application's runtime or identity system.
Technical architecture
One assurance decision across changing AI systems.
This website illustrates the target governance flow from versioned state to an explainable decision. Estate-wide intelligence and ecosystem integrations are design objectives, not proven live connections.
Architecture representationIntegration scope unverified
System map
Follow the source-to-decision path.
This diagram illustrates intended responsibilities and trust boundaries. It is not a live environment topology.
Source-to-decision architecture
Steerlane control layer
External AI ecosystem
Microsoft / Copilot
Agent and authorization context · planned connector
LangGraph / LangSmith
Topology and evaluation evidence · planned connector
MCP / Git / ServiceNow
Shared tools, change provenance, review tasks · planned connectors
An integration does not automatically confer write access or approval authority. Available data depends on vendor APIs, tenant permissions and the connector's verified scope.
Steerlane reasoning and decision path
- 01
Canonical system state
Represent the system and its approved reference; five-state reconciliation is a target architecture.
- 02
Semantic change
Map component-level changes to impacted dependencies. Real-world implementation must be qualified in a pilot.
- 03
Evidence validity
Explain which evidence remains applicable, what must be rerun and where the mapping is unknown.
- 04
Governed decision
Show reviewer responsibility, approval outcome and traceable baseline/audit history.
Decision authority stays explicit
Imported metadata, automated evaluations and external review tickets inform the decision. They do not silently approve a changed AI system.
Trust principles
Boundaries a technical reviewer should challenge.
02
Observed is different from declared
A deployment manifest or connector response cannot prove runtime behavior by itself. When observation is unavailable, the intended system state is not silently labeled observed.
03
Unknown dependencies stay visible
An unrecognized tool, permission or dependency must be escalated or mapped. Unknown never means unaffected.
04
Review and approval are separate
Evidence validity and evaluation outcomes inform a proposed decision. Review scope, delegated authority and the final approved state must remain auditable.
Maturity and proof boundaries
Versioned AI state, change impact, evidence and review are intended design surfaces. Their implementation, deployment and supported release scope require customer-specific qualification.
Multi-vendor ingestion, five-state reconciliation across an estate, cross-agent blast radius, simulation, attestations and broad connector support are design and evaluation objectives until independently qualified.