Consistent, audit-ready evidence for audit, risk & compliance teams with Alteryx One
A governed way to run control testing and continuous monitoring for audit and risk teams in finance operations
A governed way to run control testing and continuous monitoring for audit and risk teams in finance operations
Audit and risk work spans systems that were never built to share data โ and now it spans AI agents that were never built with an audit trail at all. Alteryx connects that work end to end, sits inside the stack you already run, and keeps testing logic โ human or AI-triggered โ consistent from cycle to cycle.
Audit work moves from detection to closure without losing the trail.
The same test produces the same result every time it runs โ whether a person kicks it off or an AI agent does.
At T-Mobile, moving SOX control testing onto governed Alteryx workflows saves the team roughly 100 hours a month, with evidence captured as each test runs.
The data ecosystem now includes the AI agents and copilots your teams have started plugging in โ Alteryx governs what any of them can reach.
Once testing and monitoring logic runs inside Alteryx One, audit and risk teams spend less time assembling evidence and more time investigating what it actually shows.
Once testing logic is built into the workflow, audit teams check full populations instead of samples, where the assertion allows it. The team catches problems first, not the auditor.
At Aleatica, moving purchasing controls onto full-population Alteryx testing let the internal audit team evaluate 100% of transactions, catching exceptions a sample would have missed.
Testing knowledge that lived in one auditor’s head becomes a workflow the whole team runs the same way. When that person moves on, the logic stays behind and keeps running.
When every tester applies the same criteria, a pass means the same thing no matter who ran the test. Leadership gets one reliable view of control health instead of several conflicting ones.
At Godrej Industries, standardizing audit data pulls on Alteryx cut analysis time 60% and turned week-long audits into ten-minute ones.
Continuous signal monitoring flags transactions worth a second look while the cycle is still open, ahead of year-end testing. People decide what a flagged signal means and own every resulting conclusion.
Audit findings and control results land inside the tools the team already uses for daily work. The same governed logic feeds the quarterly board summary and the working file reviewers open every day.
A workflow proven on one control extends to the next without a full rebuild. Internal audit keeps adding controls at the pace new risk appears, without starting over each time.
Internal audit directors, SOX control owners, and risk analysts run this daily.
Alteryx One runs analytics at enterprise scale with the controls, compliance, and audit trail finance is required to maintain.
Testing stops being something the team scrambles to prove after the fact. The methodology holds regardless of who’s running it, the evidence is already where it needs to be, and coverage grows without rebuilding the process from scratch. That leaves the team more time on judgment, less time on reassembly.
Alteryx has allowed us to automate processes and reports that were a significant drain on time and resources. At the same time, we have eliminated errors caused by human interaction and have been able to dedicate resources to more valuable functions, due to the elimination of manual work."
Jon Ander Navarro, Internal Audit, Risk and Compliance Director
Merlin Properties
Read the full storyThe standard for trustworthy AI in finance is VURA: visible, understandable, repeatable, auditable. Each finance function meets it in its own work.
Visible means anyone can see how an output was produced. Understandable means a reviewer who did not build the logic can still follow it. Repeatable gets the same answer from the same inputs, every cycle. Auditable puts the evidence in place before anyone asks.
Audit, risk, and compliance teams can see this pattern applied directly in these AI-Ready Starter Kits โ pre-built workflows that skip the blank canvas and get a team started faster:
Alteryx doesn’t replace your GRC or audit management platform โ it prepares the data and evidence that platform relies on. Connecting to ERP, subledger, and application data, it tests results against governed logic and delivers structured, validated output before any of it reaches your GRC system. The platform still tracks status and hosts your audit program. What arrives there is complete and consistent, not raw data waiting to be cleaned up.
Where the control assertion permits it, yes โ Alteryx can test complete populations instead of a sample. That’s not automatic for every control; it depends on whether the underlying logic and data support full coverage. Audit teams decide which controls qualify, and that judgment happens before the workflow runs. Coverage grows one control at a time, as more of them qualify.
No. Alteryx runs the testing logic your team designs and approves; it doesn’t set the criteria, judge results, or reach conclusions on its own. Every rule, threshold, and pass/fail determination reflects a decision your team already made and can explain. Consistency and speed change; accountability for the judgment stays exactly where it was. The workflow is transparent enough that a reviewer outside your team can see exactly how a result was produced.
A flagged signal starts an investigation; it isn’t a finding by itself. Alteryx surfaces the transaction or pattern that crossed a threshold your team defined, ranks it by risk, and routes it to the person who owns that control. That person decides what it means, whether it’s material, and what happens next. The workflow narrows where attention goes โ the conclusion stays with the team.
Nothing about your testing programs needs to be thrown out to start. Alteryx can run alongside sample-based testing for controls that don’t yet qualify for full coverage, while taking over the controls where governed data makes complete population testing realistic. Teams typically start with one control, not a full program redesign, and expand coverage as workflows prove out. Existing risk-ranking and sampling logic can inform how a workflow is built rather than being replaced wholesale on day one.