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Financial Accounting Anomaly Detection (SaaS)

valantic Digital Finance GmbH · Finance & Accounting

SaaSNo attestation published

Certification per Microsoft Marketplace.

#FinancialIntelligence#AnomalyDetection#SAP
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 7 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

This application is available in [english, german]

Challenges

Show the rest of the publisher’s description (39 more lines)
  • Having an overview over company's entire chart of accounts
  • The compliance of numerous accounting guidelines and policies
  • Redundant and incorrectly used accounts
  • Overseeing millions of journal entries each year

Mission

The Mission is to provide a comprehensive monitoring & automation tool for all accounting activities within your company.

Anomalies are systematically detected with the help of artificial intelligence.

Offer description

We provide an end-to-end solution to automatically collect, analyze and detect anomalous accounting practices.

Our scalable solution is based on Azure Machine Learning and Microsoft Power BI.

Key Features:

  • ABC-matrix: Visualize which accounts are you really using. Identify accounts which are rarely or never used.
  • Analyse each and every posting record automatically
  • Detect anomalies on first sight

Why verovis?

Verovis is a consulting company and Microsoft Gold Partner, specialized on Advanced Analytics for the Finance/Controlling/Accounting function.

Requirements

  • If

the

source system

is

SAP, access

is

needed

with

the

permissions

to

the

relevant tables

(BSEG,

BKPF, SETNODE, SETLEAF, SETHEADER)

  • The extraction of the tables is either conducted by verovis (SAP on Azure Finance Data Pool solution for fast and scalable ETL processes) with sufficient access or done by the customer itself and

stored to the azure blob storage

  • A

SQL database

for

persisting

results

Preview

4 images
Financial Accounting Anomaly Detection (SaaS) preview 1Financial Accounting Anomaly Detection (SaaS) preview 2Financial Accounting Anomaly Detection (SaaS) preview 3Financial Accounting Anomaly Detection (SaaS) preview 4

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

6 links
Supportwww.verovis.comSource
Company Presentationcatalogartifact.azureedge.netSource
Offering OnePagercatalogartifact.azureedge.netSource
Live Dashbaordapp.powerbi.comSource
Offering SAP Data Pool Templatebit.lySource
Anomaly Detection in Financewww.youtube.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://www.verovis.com/
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