The rules sit in code, the steps in spreadsheets, the judgement with the people who run them. xflow brings them together into executable processes you can evidence, change and hand to agents.
At a G-SIB: first code repository read in a day, end-to-end regulatory lineage in under two weeks.
AI is moving from answering questions to running processes. Supervisors want to see how a number was produced, not only the number. Every change programme needs to know what it will touch before it touches it. All three ask the same question: how does this process actually run, and is it the one you approved?
Show how a reported figure was produced, from the objective through the process to the code and data behind it. Then produce it again next cycle without rebuilding it by hand.
An agent running a process needs the approved rule, the order of the work and the objective it serves. Point it at one governed version, and the rule it applies is the rule you evidenced.
Know what a change will touch across repositories, data and manual steps before it is made. Migration and modernisation start from what the process does today, not from rediscovery.
In a regulatory process, the limit on AI is rarely the model. It is being able to show which rule was applied, and why. Institutions that can demonstrate that they understand how their processes execute are able to speed the transition to agentic processes.
Policies, catalogues, lineage and controls describe how the business should run. That investment is real. But the process executes in places the documentation rarely reaches, and that is where the context your regulator, your change teams and your agents depend on actually lives.
The transformation rules that produce the reported figure sit in application code, where business and governance teams cannot read them.
Adjustments, overrides and hand-offs that complete the process between systems, carried in end-user tools and routines.
Why the process works the way it does, held by the analysts and developers who run it and rarely written anywhere a system can use.
Testing the documented process against what it actually produces, then locating each gap, assessing its impact and giving it an owner until it closes.
Today that join is rebuilt by hand, project by project, whenever a regulator, an auditor or a change programme asks. Tools that speed up that work still produce a one-off picture, out of date as soon as the code, data or process changes.
We connect the regulatory objective to the process and to the code, data, knowledge and manual steps that deliver it, and make it executable. The result is context you can trust, because everything is fully traceable and explainable across business teams, agents and the regulator.
Code, metadata, domain knowledge and manual routines joined into one view of how each process runs, readable by architects, developers, analysts and process owners alike.
Gaps located and assessed: missing or truncated lineage, undocumented transformations, business terms with nothing behind them.
Real data run through the process, so a rule either produces the reported figure or it does not. Evidence comes from operating, not from reconstruction.
xflow integrates with your existing platforms, so process context stays dynamic and compliance can be evidenced continuously, with corrections written back to the catalogue you already run.
Three places process context changes what an institution can do, starting with the estate it already has.
A G-SIB's regulatory lineage stopped where the application code began, so critical transformation rules were invisible to the business and governance teams. We connected xflow to the repositories, read the first in a day, exposed the transformations and remediated the gaps, pushing corrections back to the catalogue.
Executable end-to-end lineage from policy to process to code to data, in under two weeks.
IFRS 17 asks for traceability from contract data, assumptions and measurement logic through to the reported line, much of it carried in actuarial models, spreadsheets and expert judgement. Process context joins those steps to the governed definitions, so every disclosure line can be traced back through each calculation and re-run at close, rather than reconstructed for every audit.
Regulatory traceability proved across a system built on multiple technologies.
Business terms mapped across multiple code repositories reveal the relationships between them. A proposed change is traced across repositories, data and processes before a line is committed. Business analysts and change teams use xflow to optimise complex system deployments.
Migration and regulatory change scoped to what is actually affected, with less regression testing.
Executable process context is what xflow does.
Catalogues, lineage and control tools describe your estate. xflow works at the level the business runs: the process, with its objective, its steps and the rules that deliver it.
Each rule is held once. The same version is used for design, validation, evidence and any agent that references it, so the context you prove is the context that operates.
xflow is built to sit alongside the governance you already run. Now proven as a process context layer at a global systemically important bank.
Partners
Pick one number on your last regulatory return. How long would it take to show how it was produced, and how many people would that depend on?
See it on a number you already report.
Tell us your challenging number and we will expose the process context on which it is built. From policy to process to code to data.