Nobody knows which Z-programs still run, what they touch, or whether they survive S/4HANA®.
ATC, the Simplification Item check, SUM, DVM, CVI and finance checks each give you their own report, with no single picture.
Teams argue about scope in workshops when the answer is already in the system's usage data.
Ready the system, import our programs and set up ATC, Readiness Check and the right authorisations.
Custom programs, ATC results and Readiness Check reports (SI, DVM, FDQ …).
Program documentation with line-of-business classification, plus result views and impact analysis across RC, ATC and SI.
The transformation copilot explains findings and recommends next steps.
Fix custom code with QCC, with a human in the loop, then convert with a plan you can trust.
A deterministic system that maps your estate and prepares you for transformation.
Works on the collected results only, and labels everything it writes.
A window to QCC, the companion app where custom code gets fixed.
Every module reads real system data and links to the others, so a blocker in finance data shows up next to the code and processes it affects.
Every Z-object scored by usage, complexity and S/4 impact, with a proposed decision.
S/4HANA® readiness checks grouped by priority and mapped to the objects they hit.
Which items are relevant, which need checking, and what drives them.
Installed add-ons, industry solutions, product versions and business functions.
Largest tables, LOB data, memory requirement and a planned-downtime estimate.
Which transactions in use have a Fiori® app replacement.
Customers and vendors blocked from Business Partner sync, and why.
GL, asset and material ledger checks by company code and fiscal year.
IDocs, RFC, web services, OData, BW, SLT and queues in one view.
Order-to-cash, procure-to-pay and more, rebuilt from document flow.
Effort by phase, gaps by line of business and a ready-to-run Realize backlog.
A generated spec for any object you decide to adapt or replace.
Full brownfield assessment of the system you run today.
Focuses on what changed between releases.
Every number in QTS comes from code that reads your system. The AI writes the explanations and proposes decisions, and each proposal is labelled as one until a person signs it off.
AI content carries an AI badge everywhere it appears.
A chat panel answers questions like “What blocks the conversion?” from the collected data of your system.
Every decision change is versioned. Re-importing a newer ATC run updates the findings and keeps every decision and its history.
custom objects analysed
of usage statistics read
custom programs actually executed
SAP® Activate phases tracked, from Discover to Run
Figures come from a demo/training ECC system. On a training system almost nothing custom runs, so QTS proposes retiring almost all custom code. A production system gives a different picture, and QTS measures it the same way.
QTS reads from your system and never writes to it.
Only the QTS backend talks to SAP® and to the AI model. No SAP® or AI credential ever reaches a browser.
The model sees collected results, never a live connection.
Ships as containers and can be deployed in your own landscape.
No. The collectors only read.
SAP® ECC 6.0 for conversions to S/4HANA®, and S/4HANA® systems for release upgrades.
No. It proposes them and explains why. Business owners accept, change or reject each proposal, and nothing counts as decided until it's signed off.
It depends on the items to be collected and your system landscape. The data collection itself runs in hours. The full assessment report, including custom code inventory, simplification item status and effort model, is typically ready within one to two weeks.
It covers the same ground and goes further: object-level decisions, sign-off, process discovery and a Realize backlog, all in one place.
Start with a sample cockpit, or let us run the collectors on your system.