Copilot Studio / Agent 365
Customer Support Agent
Shared dependency: Customer Records MCP
Illustrative source only
Platform / Change intelligence
A changed field isn't the same as changed authority.
A new model, tool, prompt or permission can affect governance differently. Steerlane's implemented single-system change paths form the foundation for planned cross-system dependency reasoning.
Pilot scope requires verification
Approved baseline to semantic consequence.
Select the Semantic change stage to explore an authored Credit Review Assistant sample. The controls and mapping principles are product-grounded; these displayed values are synthetic.
STEERLANE / CREDIT REVIEW ASSISTANT / SYNTHETIC PRODUCT EXAMPLE
System assurance walkthrough
Credit Review Assistant
Baseline v2 compared with candidate v3
Stage 1 of 4: Approved state
Approval creates a reference state.
An approved baseline is distinct from a proposed candidate. The decision has its own review and evidence history.
Approved baseline
v2
Approved reference
Historical decision and bound evidence remain separate from candidate work.
Proposed candidate
v3
Review required
The changed version is not approved merely because it can be evaluated.
Illustrative authored fixture · not live product output or actual approval
One shared component. Multiple dependent agents.
Sample scenario: trace an MCP authority change into affected systems, evidence and review. This is not a working connection to MCP, Microsoft, LangGraph or ServiceNow.
Cross-agent change intelligence
Shared Customer Records MCP
Stage 1 of 5: AI estate.
Import and normalize
Different agent stacks, one governed perspective.
Three fictional agents share an MCP capability. A qualified integration would retain native provenance, source freshness and explicit unsupported fields before mapping a dependency.
LangGraph / LangSmith
Claims Review Agent
Shared dependency: Customer Records MCP
Illustrative source only
Custom / MCP
Research Assistant
Shared dependency: Customer Records MCP
Illustrative source only
All agents, controls and results are fictional · No live vendors or decisions
Start with a real approval problem.
We scope pilots to capabilities verified in the product at the time of evaluation, not the entire future roadmap.