

Three screens from a live test cycle: the control library, the automated test run, and the auditor sign-off.
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Most SOX 404 compliance automation still works the way it did fifteen years ago: by sampling. You test 25 of 40,000 transactions and hope the other 39,975 behaved. Timing makes it worse: a control fails in Q1, internal audit samples it in Q3, and remediation lands in Q4 with the external auditors watching. Everyone in the process knows it is fragile, and nobody has the hours to check.
Control owners spend the quarter taking screenshots, exporting logs, and filling out testing templates for work they already did once. And the external audit fee is partly a function of how much mess your team hands over.
Shakudo's AI turns control testing into continuous controls monitoring. Every day, it pulls the full transaction population, payroll records, vendor payments, journal entries, access logs, straight from your systems of record and runs each key control's assertions against all of it, not a sample. When a control starts to fail, or a journal-entry pattern looks anomalous, the AI flags it in the same week, while it is still cheap to fix. The evidence that a control operated, which transactions, which timestamps, which approvals, is captured automatically as part of the test, so your team walks into PBC requests with an assembled, audit-ready file instead of weeks of chasing. A Top-10 U.S. Regional Bank reduced its SOX 404 findings to zero, and a Major North American Financial Institution runs this continuous control testing today. Fewer exceptions, cleaner walkthroughs, faster PBC turnaround, and a compliance team that knows a control broke the week it broke, not three quarters later.
Ownership is what makes this possible. The evidence behind your internal control over financial reporting, payroll, vendor payments, journal entries, access logs, cannot go to a cloud AI vendor. Shakudo's sovereign AI runs on your own infrastructure, and your data never leaves your environment. That is why the AI can read the sensitive data a real SOX program depends on, and why the models, the workflows, and the audit trail stay under your control, and defensible when the board, regulators, or auditors ask who sees what.
CFO, controller, and internal audit teams at public companies and regulated private companies that cannot send payroll, vendor, journal-entry, or access data to a cloud AI vendor.
Every transaction, every day. The AI pulls the full population from your systems of record and runs each key control's assertions against all of it. That is the difference between a point-in-time sample and continuous controls monitoring: the 25-of-40,000 sample becomes the whole 40,000.
It reasons over the full journal-entry population, not a sample, so patterns a 25-transaction sample would miss surface on their own. When a control starts to fail or an entry pattern looks anomalous, the AI flags it in the same week, while it is still cheap to fix.
Yes. The evidence that a control operated, which transactions, which timestamps, which approvals, is captured automatically as part of the test run. PBC responses become a matter of exporting an assembled, audit-ready file instead of weeks of chasing screenshots and exports.
Days, not months. You connect your systems of record, point the AI at your key controls, and the first daily test run lands quickly. The compliance team sees the full population tested on day one, not after a quarter of sampling.
With Shakudo, you can deploy this SOX 404 compliance automation within days: connect your systems of record, point the AI at your key controls, and start testing every transaction every day. See how it works, or book a demo.
Shakudo's sovereign AI runs SOX 404 control testing on your own infrastructure, checking every transaction every day instead of a point-in-time sample. Deficiencies surface the week they happen, and audit evidence gathers itself.