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AuditCore — AI Audit

Test 100% of the populationnot a sample.

AuditCore replaces manual sampling with full-coverage AI testing. Every transaction is examined, every control is scored, and every finding carries its own evidence trail — automatically.

100%Population tested
10xMore findings surfaced
70%Less fieldwork hours
AuditCore — Result
Done
1,204 transactions tested, 0 exceptions
Passed
Risk score computed for all controls
Scored
Evidence trail attached to findings
Documented
AuditCore Engine
Processing
Full-population reasoningNo sampling, no blind spots
Scanning transaction population0%
Cross-referencing documents0%
Applying risk-scoring model0%
Flagging anomalies0%
Compiling evidence trail0%
Generating report0%
Control Testing — Live
Live
ControlPopulationExceptionsRisk
Revenue Recognition18,4200Low
Journal Entry Testing42,1303Medium
Related-Party Transactions6121Low
Expense Approvals9,0400Low
Hover to see the AI layer at work
The Problem

Sampling was never designed to catch everything

Traditional audit methodology tests a fraction of the population and extrapolates. AuditCore removes the extrapolation.

Sampling misses what full coverage would catch

A statistically valid sample can still miss the one exception that matters most to a control's conclusion.

Manual testing is slow and repetitive

Pulling samples, tracing documents and tick-marking evidence consumes weeks that could go toward judgment work.

Deadlines create fieldwork pressure

Compressed reporting windows force teams to choose between thoroughness and hitting the filing date.

What AuditCore Does

Full-coverage audit testing, built for scale

Every engagement gets the same rigor, whether the population is a thousand transactions or a million.

100% population testing

Every transaction in the population is examined against the control — no sampling, no extrapolation.

Continuous risk scoring

Controls are scored on an ongoing basis, so risk shifts are surfaced before period-end, not after.

Automated evidence trail

Every finding arrives with its supporting documents and reasoning already attached and organized.

Control testing at scale

Add engagements, entities or business units without adding headcount to the fieldwork.

How It Works

From connected systems to documented findings

1

Connect financial systems & documents

Link the ERP, ledgers, contracts and supporting document stores relevant to the engagement.

2

AuditCore tests the full population

Every transaction is matched, recalculated and checked against the control, not a sample of it.

3

Auditor reviews flagged exceptions

Only genuine anomalies reach the review queue, with full context attached.

4

Findings & evidence compiled automatically

Workpapers and evidence trails are assembled as testing completes, ready for sign-off.

Why It Matters

Confidence that doesn't depend on which transactions got picked

When every transaction is tested, the conclusion no longer rests on whether the sample happened to include the exception. AuditCore gives auditors and audit committees a population-level answer, not a projection.

  • Tests every transaction — not a statistically representative slice of them.
  • Surfaces more real findings — anomalies a sample would statistically miss.
  • Frees fieldwork hours for judgment — the AI handles the tracing and matching.
Full population coverage SOC-ready controls Human-in-the-loop review Automated workpapers Multi-entity ready API & native connectors
0%
Population tested per engagement
0x
More findings surfaced vs. sampling
0%
Less fieldwork hours required
0/7
Continuous risk scoring
Ready when you are

See AuditCore test your own population

Bring a real audit sample — we'll show you exactly what full-population testing finds that the sample missed.