What data does POVA analyze?

POVA analyzes exported business data including financial records (general ledger, AP/AR, bank reconciliations), HR and access control data (directories, role assignments, privilege logs), and operational data (supply chain, inventory, service records). Data is exported from your existing systems — POVA does not require live system access.

How is POVA different from traditional audit tools?

Traditional tools sample data, check predefined rules, or monitor known fraud patterns. POVA analyzes the full data export across multiple sources to find structural anomalies — patterns that only become visible when you cross-reference financial records, access logs, and operational data together over time. It is not a dashboard, not a GRC tool, and not continuous monitoring.

What is the delivery format?

A ranked findings report with executive summary, evidence annexes, entity dossiers, and an algorithm trace. Deliverables are static, offline-capable, and can be signed and encrypted for authorized personnel only.

Evidence-first audit intelligence

Audit your business as it actually behaves

POVA analyzes exported business data to show where controls, behavior, and outcomes become inconsistent. No sampling. No predefined rules. No black-box AI.

See how it works What you get

Export your data. Get ranked findings and review actions in 1–2 weeks.

Fullexport population, not sampling

Rankedfindings, not raw anomaly lists

Staticreports and offline evidence packs

Secureno live system access required

What it does

Not another dashboard. A forensic review layer

POVA reads exported operational data and surfaces where the business behaves differently from the control story: repeated payments, counterparty concentration, identity reuse, and cross-source inconsistencies.

Unlike black-box anomaly detection that flags thousands of rows with no explanation, every POVA finding carries its rationale and the source rows behind it. Reviewers can rank it, defend it, or dismiss it on the merits.

Full-data scanEvery supplied row is part of the review surface unless the export itself was limited.

Cross-source correlationFinancial records, suppliers, HR, access logs, inventory, and operational data can be joined when available.

Evidence-led promotionFindings are promoted by control relevance, proof state, transaction-pattern strength, and review usefulness.

Abstract geometric architecture representing connected audit evidence

Full export → connected evidence surface

Finding routing

Ranked findings with a next step

POVA keeps anomaly language disciplined. Findings are not presented as proof of fraud or confirmed loss; they are routed into review actions.

Validate

Ready for review

Use when the pattern is strong enough for immediate row-level review by finance, audit, or operations.

Context first

Check context first

Use when the signal may be legitimate but needs policy, contract, or operating context.

Monitor

Watch over time

Use for weaker, incomplete, or trend-only signals that should stay in the control conversation.

How it works

Three steps from export to audit action

Export

Send structured files from your existing systems. POVA does not require live system access, connectors, or production credentials.

Analyze

Deterministic detectors, statistical methods, and cross-source logic inspect the full supplied population and build ranked candidates.

Validate

Receive executive findings, evidence references, and review actions for the owning teams.

Abstract geometric system core representing audit analysis

Signals become evidence-backed review cases

What you get

A review pack that executives can read and auditors can trace

POVA separates the story, the evidence, and the technical trace so the report is readable without losing reproducibility.

Executive findings

Clear headline cases with amount, transaction count, owner, next step, and evidence reference.

Evidence annexes

Matched rows, preview rows, source references, and proof-pack pointers where available.

Entity dossiers

Connected signals grouped by subject so multiple mechanisms do not become scattered alerts.

Algorithm trace

Detector coverage, scoring context, and run-status detail for technical review.

Report system

One document. Four layers

Executive findings, entity dossiers, evidence annexes, and algorithm trace — bound into a single deliverable. Readable at every level. No dashboard required.

Security model About POVA

Who it is for

Built for teams that need evidence, not noise

CFOs

See where spend, approvals, and suppliers drift from policy.

Internal audit

Move from samples and rule checks to full-population, evidence-backed review cases.

Boards

Material control questions in a format built for oversight.

Compliance

Keep policy-relevant signals connected to data, entities, and review ownership.