One enterprise story, from source systems to AI
Metrolane can now be understood as a set of connected layers.
Each layer solves a different problem.
The value comes from keeping those boundaries explicit.
The complete mental model
read
projection
Read the architecture in four questions
- 1. Where did the business fact originate?Look at: source systems · commands · events · operational links
- 2. How did it become enterprise knowledge?Look at: connectors · raw ingestion · mapping · resolution · survivorship · canonical · lineage
- 3. What does the company know beyond structured records?Look at: documents · versions · relationships · access · retrieval
- 4. How does the enterprise move and how can AI participate?Look at: runtime estate · business time · Phase 10 · EKA · future agents
Follow one architecture path
A visitor can move through:
The identity path
resolution
Canonical Organization ORG-000012provenance
Data Journey / lineagerelated enterprise context
documents / scenarios / relationshipsThe business-process path
operational handoff
ERP Sales Order SO-2026-000001extraction / mapping
canonical enterprise visibilityDay-0
This is what the current Day-0 Explorer shows.
Phase 10
This is how the enterprise can evolve without mutating the frozen reference.
EKA
It is one application over Metrolane, not the definition of Metrolane itself.
Future agents
They should not receive a parallel mutation path outside enterprise rules.
Important distinction map
Before leaving the Guide, the visitor should be able to keep these pairs separate:
- source≠canonical
- operational link≠entity resolution
- entity resolution≠survivorship
- Cross-System Journey≠Data Journey
- document exists≠document is retrieval-ready
- Day-0≠runtime
- business time≠technical time
- OccurrencePlan≠ExecutionPlan
- Semantic Search≠EKA
- EKA≠future action-capable agent
Final takeaway
- Metrolane begins with realistic source systems.
- It builds shared enterprise meaning without erasing source identity.
- It adds documents and governed retrieval.
- It freezes a reproducible Day-0 reference.
- Phase 10 gives that enterprise time and behavior.
- EKA adds LLM reasoning over enterprise knowledge.
- Future agents may eventually participate in enterprise work through the same controlled business interfaces.
Final invitation
At this point the visitor has enough context to leave the guided path and browse freely.