Run every SOX report. Validate every result. Automatically.
Karini AI agents run your SOX reports in SAP, Dynamics 365, Prophet 21 or any ERP through APIs. They prove each report is complete and accurate, and reconcile the numbers before your auditor asks.
- Written for
- Controller
- Also in the room
- Internal audit, the SOX program lead and the ERP owner
- Governed by
- SOX Report Roster and Validation SOP
Your RPA breaks. Your close deadline doesn't.
Most teams automate SOX reports with screen bots. Every ERP upgrade, patch or UI change can break them, often the week before close. Then analysts run hundreds of reports by hand.
Running the report is only half the job. Auditors need proof that each report is complete and accurate: the right parameters, totals that tie to the source, nothing changed after export. That proof is still built by hand, in spreadsheets.
The agents, in the order they run.
Two agents, driven by a report roster, not code per report. One schedules each run. The other runs the report through your ERP's APIs and files the output as evidence. Adding a report is one line in the roster.
Every run is then validated: row counts, columns and totals tie to the source, parameters match the roster, and the PDF matches the Excel. The same checks reconcile balances, such as subledger to general ledger, and flag every break for review.
Deterministic report execution. Every step tracked.
Every run is validated before its evidence is trusted, so a wrong parameter or a total that doesn't tie is caught before it becomes an audit finding. Nothing reads a screen, so ERP upgrades change nothing, and the approval levels stay in your control narrative. SOX_ROSTER_GAP catches what screen bots miss: a report that never ran.
Report execution, validation and reconciliation rules
Every rule is decided from the ERP's response and the files it produced, the same evidence your auditor sees.
| Scenario | When it applies | Decision | Approval | SOP section |
|---|---|---|---|---|
| Both formats agree on row count, column count and every total, and the parameters echoed match the roster | ACCEPT | No approver required | Validation and Exception Handling | |
| Column names or number formatting differ between the two formats, and every total still reconciles after normalization | FLAG | Level 1 | Validation and Exception Handling | |
| A total or a row count still differs after normalization | NEEDS_REVIEW | Level 2 | Validation and Exception Handling | |
| The parameters echoed in the response do not match the roster for this period | NEEDS_REVIEW | Level 2 | Validation and Exception Handling | |
| The report returned no rows where the prior period returned rows, or a population outside the range the roster expects | NEEDS_REVIEW | Level 2 | Validation and Exception Handling | |
| The report run or the PDF output did not complete, after the retries the roster allows | ESCALATE | Level 3 | Validation and Exception Handling | |
| A report on the roster has no execution record for the period by its close day offset | ESCALATE | Level 4 | Completeness Reconciliation |
ACCEPTPasses the checks the SOP requires.NEEDS_REVIEWA named reviewer checks the evidence, then the agents resume.FLAGMarked for attention. The transaction keeps moving.ESCALATESent to the approver at the level the SOP sets.How to get started.
Four steps. Only the first needs your process owner.
Review your SOP with a Karini AI engineer
Our forward deployed engineer works with your process owner and queue team to turn your SOP into a clear spec: rules, thresholds, approval levels and gaps.
The gaps matter most. Where your SOP is silent, the queue is being worked from memory.
You bring
The SOP that governs the process today, in whatever state it's in.
Connect the workflow and your ERP
Your SOP becomes the workflow the agents follow. We connect through APIs, governed screen access where there's no API, and email intake.
Your ERP stays the system of record. Nothing is migrated or replaced.
You bring
An environment to connect to, and the person who owns access.
Test against your own history
Every rule runs on your past exceptions first. You see which rule each case hit, and fix the SOP where it's wrong.
Fixing it here costs an SOP edit, not a reversal.
You bring
A sample of closed cases, including the awkward ones.
Deploy to production
Live in your environment, behind your approval levels, with the audit trail on from day one.
The next use case starts at step one with its own SOP, not a new project.
Bring your SOP. We'll run it against your queue.
Pick one use case. If the rules are written down, agents can follow them. If not, we write them together in the first session.
