← All insights
Change2 min read

Know what a change will touch before you make it

Every migration, modernisation and AI programme starts by rediscovering what the current estate does. It does not have to.

Every migration, modernisation or AI programme begins the same way: rediscovering what the current estate does. The rules sit in code written over decades. The process between systems is carried by spreadsheets and routines. The people who can explain it are scarce and busy.

So change is scoped on assumptions, regression testing is heavy, and when a regulatory process runs on the code being moved, a missed rule is expensive.

From inventory to change map

A code inventory says what exists. It does not say which rules in the code implement which business terms and which regulatory processes. That connection is what turns an inventory into a change map.

xflow maps business terms and transformation rules across the code repositories and joins them to the process and the data. A proposed change can then be traced across repositories, data and manual steps before a line is committed, and the rules that must survive a move are known, owned and governed.

Where it is working

Business analysts and change teams use xflow to optimise complex system deployments, with business terms mapped across multiple repositories to reveal the relationships between them. Migration and regulatory change are scoped to what is actually affected, with less regression testing.

Modernisation raises the stakes rather than removing them. Moving a mainframe, or pointing agents at legacy code, means knowing which rules that code applies so they survive the move. Process context lets the programme start from what the process does today.

Request a demo

Which number matters most to you?

Tell us the number and we will expose the process context on which it is built: the objective it serves, and the code, data, spreadsheets and people that produce it.

Request a demo