All use cases

See the landscape

For CTOs, enterprise architects, and anyone who needs visibility

Map blind spots. Gain visibility into application intent and dependencies without months of manual interviewing — then keep the view alive. Start from a CMDB or inventory spreadsheet and enrich what it cannot explain, or discover the landscape from documents and dialogue.

See it live

Two ways in — one living landscape

You do not need to trust unstructured documents blindly, and you do not need to recreate a catalogue you already maintain.

CMDB-seeded enrichment

Export the CMDB or application inventory to a spreadsheet, import the structured skeleton, then enrich each factsheet with purpose, behaviour, rationale, constraints and source evidence.

Read the enrichment workflow →

Document-first discovery

Begin with HLDs, PDFs, transcripts, diagrams and expert narratives. DecisionPen proposes missing entities and relationships for human curation into the same model.

How automated modelling works →

DecisionPen can start from a spreadsheet extract of your CMDB or inventory for CMDB-seeded modelling.

What you can do

  • Start from a CMDB or inventory spreadsheet

    Import applications, technology components and similar catalogue items to establish a canonical structured skeleton — no blank factsheet programme.

  • Enrich thin factsheets with How and Why

    Attach HLDs, ADRs, runbooks, interface documents and transcripts to imported entities. AI proposes purpose, integrations, rationale, constraints and risks; architects curate the evidence.

  • Map application intent and dependencies without endless interviews

    See what applications do, how they relate to capabilities, and how they depend on each other — from HLDs, wikis, and SME narratives.

  • Maintain a living view of the IT landscape

    As new documentation or dialogue appears, synthesize updates so the landscape stays current instead of becoming a one-off snapshot.

  • Identify blind spots and orphaned systems

    Cross-reference documented systems with narrative to find gaps: apps in use but not modelled, or dependencies only experts know.

  • Support rationalisation and portfolio decisions

    A structured, queryable model for retirement analysis, investment choices, and rationalisation scenarios.

  • M&A landscape mapping

    Quickly baseline a target or carve-out from available documentation and interviews so integration decisions are data-driven.

  • Onboard stakeholders faster

    Give new architects and leaders one place to understand the landscape — consistent, navigable, and evidence-linked.