Your data governance investment can do operational work
Catalogues, glossaries and lineage were built to describe the business. Process context puts them to work in how it runs.
Most banks and insurers have already made the hard investment in data governance. They hold catalogues, business glossaries, lineage, stewardship models, data quality rules and policy libraries, usually justified as compliance and audit infrastructure.
That estate describes the business. It rarely takes part in running it. The glossary defines a term, but the code that produces the reported figure applies its own version of it. The lineage map stops where the application code begins. The last adjustment happens in a spreadsheet nobody registered.
Description is the starting point
A business term is approved meaning. A lineage map is a route from a figure back to its sources. A stewardship model names who is accountable when that meaning changes. Each of these is exactly what a process needs in order to be run, checked and changed with confidence. What is missing is the join between them and the process as it actually runs.
Joining the two
xflow builds process context. Our engineers connect the regulatory objective to the process, and to the code, data, knowledge and manual steps that deliver it. The catalogue stays the system it is today. xflow reads it, joins it to the running process, and writes corrections back to it.
Your data governance investment then starts doing operational work: showing how each figure was produced, where the process departs from what was documented, and what a change will touch before it ships.