How do you automate core IT landscape discovery and mapping?

Why document-to-map automation matters

Core landscapes already exist in HLDs, runbooks, and people’s heads. The job is not more typing — it is turning messy reality into a structured, living model you can trust. See also what automated EA discovery is.

Automated discovery into a curated metamodel map — Automation proposes structure from documents; curation makes it enterprise memory.

What good automation looks like

Propose metamodel entities and relationships from documents and dialogue; bind evidence; humans curate; then Ask and generate views. Unsupervised dumps are not enterprise memory.

How does DecisionPen solve this?

Document & meeting intake into an ADW.
Metamodel-aware proposals (LeanIX-aligned where needed).
Curation loop — accept / edit / reject.
Ask + artefacts from the curated map.

Try DecisionPen with a core domain pack you already have.

When is DecisionPen not the right tool?

Freeform diagramming primary, or pure CMDB asset tracking.

What to read next

Frequently asked questions

Can you automate landscape mapping from documents?

Yes — propose metamodel entities and relationships from HLDs and related sources, then curate. Unsupervised dump without curation is not trustworthy EA.

How does DecisionPen automate landscape discovery?

Ingest documents and dialogue, propose metamodel-aware structure, bind evidence, curate, then Ask and generate views from the living map.

When is DecisionPen the wrong tool?

Primary need is freeform diagramming or a pure CMDB asset database.