Application Rationalization without a tool rollout
Rationalize applications without introducing the next platform first
When cost, redundancy, or transformation pressure becomes visible, the CIO often does not need another tool implementation as the first step. Arqlee turns existing exports into a defensible decision basis: portfolio view, prioritized actions, assumptions, and data trust.
Core idea
First create a traceable rationalization decision. Then decide whether a permanent EA/APM tool is actually needed.
The problem is rarely just missing software
Many companies already have data: Excel lists, finance exports, license records, SSO signals, CMDB extracts, or SAP LeanIX exports. What is missing is the translation into decision-ready priorities.
Typical start
Build a repository first, decide eventually
Align the data model, define tool roles, plan training, maintain the portfolio, and hope it creates a management decision in time.
Arqlee approach
Create the decision first, then assess tool need
Existing exports are enough for a focused rationalization run: combine data, assess applications, prioritize actions, and make open assumptions visible.
When it fits
For teams that need a decision first
This page is for situations where pressure is concrete and a multi-month tool rollout would delay the actual decision.
IT cost has to come down
Finance expects concrete savings potential, but blanket cuts would be risky.
The portfolio is hard to read
Multiple sources describe the same applications differently; ownership and usage are not clear everywhere.
No new EA program wanted
You do not want to start repository upkeep, a governance wave, or training initiative before value is proven.
Board-ready priorities are missing
There are opinions and lists, but no traceable sequence from cost, fit, risk, and evidence.
Positioning
Tool rollouts and Decision Packs solve different problems
EA/APM tools can be valuable when a permanent architecture operating model is the goal. For the first rationalization decision, a leaner entry is often better.
This is not a forever either-or: Arqlee can create clarity before a tool rollout, use an existing EA/APM export, or be added later as a repeatable decision run.
Process
How Application Rationalization works without a tool rollout
Arqlee does not disclose the internal process chain. What matters for customers is the visible method: existing data, domain-based assessment, expert review, and a Decision Pack with actions.
Collect existing exports
Finance, license, SSO, CMDB, Excel, or existing EA/APM exports. Live connectors are not a prerequisite.
Combine portfolio signals
Applications, cost, usage, criticality, ownership, and conflicts are brought into a reviewable view.
Assess with domain knowledge
Business fit, technical fit, cost and usage signals, risk, and data trust form the basis for action-oriented diagnoses and actions.
Run expert review
Notable candidates, assumptions, and source conflicts are reviewed before data becomes a recommendation.
Deliver the Decision Pack
The result is a sign-off-ready decision basis: prioritized measures, rationale, limits, and next steps.
What you still get without a tool rollout
Skipping a tool implementation does not mean the result stays soft. This page points to a concrete proof asset: the Decision Pack.
See the Decision Pack structurePortfolio view
Every application with diagnosis, priority, TIME classification, and traceable rationale.
Top actions
Concrete measures with priority, effort, savings indication, evidence, and open decisions.
Assumptions and limits
License cost, usage, migration effort, data quality, and final sign-off are deliberately scoped.
Data trust
Visible which statements come from input data, what was derived, and where review is needed.
Important: no hidden platform promise
Arqlee positions this page deliberately conservatively. This is not magical full automation, but a traceable decision basis from existing data.
See data handling and privacyImport-first
The entry works through exports. Live connectors can help later, but they are not required and are not sold as mandatory.
No blind automation
Arqlee prioritizes and explains, but does not replace customer governance, procurement, an architecture board, or legal review.
No raw data for model training
Customer-specific raw data and results stay customer-bound. Benchmarks are created only anonymized and aggregated.
Data quality stays visible
Incomplete exports, conflicting sources, and assumptions are disclosed rather than silently smoothed over.
Frequently asked questions
Is Arqlee a LeanIX alternative?
Not across the board. If you want to run a permanent EA/APM repository with broad governance, a specialized EA tool can be useful. If you first need a concrete rationalization decision from existing data, Arqlee is the leaner entry point.
When is an EA/APM tool better?
When architecture objects are maintained continuously, many stakeholders work regularly in the repository, and Enterprise Architecture is being established as an operating model.
What data does Arqlee need?
Typical sources are application lists, cost or vendor exports, license data, SSO or usage data, owner information, and existing CMDB or EA/APM exports. Not every source has to be complete at the start.
Do we need to maintain a data model first?
No. Arqlee starts import-first with existing exports. Data gaps and conflicts are made visible and handled in review.
What happens after the Decision Pack?
You can approve measures, add more data, repeat the run, or decide whether a permanent EA/APM tool makes sense for your operating model.
Decision first, tool need second
Let us check on your portfolio whether a lean Decision Pack run is enough, or whether a permanent tool setup is really needed.