On-premise AI for internal audit teams. Test the whole population, monitor controls continuously, and draft the working papers, so your team spends its time on judgement, not tie-outs.
One stack across the internal audit cycle: test the full population, watch the controls between audits, scope the plan from real risk signals, and draft the papers.
Test every journal entry, expense, and payment against the risk criteria, not a sample, and surface the items that need review.
Watch the controls between audits with scheduled runs over ERP data, and get alerted when something drifts.
Scope the annual plan from real signals instead of last year's plan, and defend the coverage decisions.
Turn fieldwork notes and flagged exceptions into structured working papers and a draft report, left for review and sign-off.
Control failures and leakage hide in the 95% that sampling never looks at. Livo runs these checks across the full population, on the cadence you choose.
The same user creating a vendor and approving its payment, or raising and releasing a purchase order, across the live access model.
Identical or near-identical invoices paid more than once, and payments split to stay below an approval threshold.
Vendor or payroll records with no operating footprint, shared bank details, or creation just before a payment run.
Journal entries posted at unusual hours, on weekends, by unexpected users, or clustered at period-end.
Claims above policy limits, split claims, weekend and duplicate claims, and out-of-policy categories at full volume.
Sudden movement on accounts, cards, or logins that have been inactive for months.
Changes to vendor bank details, payment terms, or credit limits, especially those reversed shortly after a payment.
The same finding surfacing across units and years, pointing to a control design gap rather than a one-off.
Livo is engaged by internal audit and compliance teams at banks, insurers, and large corporates. Engagements run under NDA and we do not disclose client names. The illustrative capability figures on this page describe how the system works, not a specific client result.
We start with two completely free steps. Every engagement is under NDA and deployable fully on-premise before you commit a rupee or a dollar.
A focused session with your Chief Audit Executive and audit managers to map where AI adds coverage, whether full-population testing, continuous monitoring, planning, or reporting, against your current audit plan.
100% FreeA prioritized implementation plan with effort estimates, scoped to your ERP, your audit-management tool, and the processes on this year's plan. Yours to keep with no obligation.
100% FreeWe build a working pilot on one audit from your plan, on your actual ERP data, deployed inside your infrastructure with full audit logging. You see the exceptions before you commit beyond the pilot scope.
Your DecisionBook your free workshop. Bring your CAE, an audit manager, or your data analytics lead. We'll map exactly where AI adds coverage to your plan.
Internal audit's work is reviewed by external audit, the audit committee, and the regulator. Every system we deploy is built around evidence integrity, explainability, and the auditor's independence.
Deployed inside your infrastructure. ERP extracts, working papers, and findings are not sent to external servers or third-party APIs.
Every extract ingested, test run, and exception raised is logged with timestamp, parameters, and source hash. Any run can be reproduced.
Each exception states the rule that fired and links to the source record. No opaque risk scores your external auditor cannot follow.
The system tests and ranks; it does not conclude. Every exception is dispositioned by your team. The tool assists the audit, it does not form the opinion.
Test criteria map to SA 240 fraud-risk indicators and IIA Standard 2320 on analysis and evaluation, so the approach is defensible on review.
Role-based access with separation between entities and audits. Data for one audit is not visible to a team working another.
Personal data is handled in line with India's Digital Personal Data Protection Rules (2025) and the GDPR, with data residency configurable.
Connectors for SAP, Oracle, and other ERPs, and for audit-management tools such as AuditBoard and TeamMate. The AI layer sits on top.
Sampling covers a fraction. GRC suites manage the workflow but do not test the data. We test the full population, on your infrastructure, and hand back a ranked exception list.
Start with zero risk. Get an internal audit AI roadmap scoped to this year's plan before committing a rupee or a dollar.
What Chief Audit Executives and audit managers want to know before bringing AI into the function.
No. The system runs the full-population tests, monitors the controls, and drafts the papers. Every exception is dispositioned by your team, and the opinion stays with your team. It removes the tie-out work so auditors spend their time on judgement.
You set the cadence per check. Access and segregation-of-duties reviews might run daily, payment testing weekly, master-data monitoring on change. The system pulls the extract, runs the tests, and alerts on new exceptions and on trends.
Yes. We build connectors to AuditBoard, TeamMate, and similar tools, and to your ERP. Exceptions and drafted working papers flow into your existing workpaper structure rather than a separate system.
Test criteria map to SA 240 and IIA Standard 2320, every exception links to source, and every run is logged and reproducible. Your external auditor can follow any finding from the flag back to the record.
Yes. The standard deployment is inside your infrastructure. ERP extracts, working papers, and findings are not sent to external servers or third-party APIs.
Typically 4–6 weeks. The tests configure quickly once the ERP extract is defined; the longest step is usually agreeing the data pipeline and access.
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
IIT-Delhi, Computer Science
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
Book a 30-minute discovery call. We'll identify the highest-leverage use case on your plan, whether full-population testing, continuous monitoring, planning, or reporting, and map a clear implementation path.
Discover 3 high-leverage internal audit AI use cases tailored to your plan: full-population testing, continuous monitoring, or reporting. No cost. No commitment. Just clarity.
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