Accounts Payable Automation with Azure AI: Intelligent Large Volume Invoice Processing
Persepta · Finance & Accounting
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Manual AP processes are slow, error-prone, and expensive. If
your team still keys in invoice data, chases approvals over email, or loses
Show the rest of the publisher’s description (66 more lines)
visibility into payables — it's time to fix it.
This solution uses Azure AI Document Intelligence to
extract data from PDFs and scanned invoices, validate it against ERP systems,
and route it through automated approvals. Whether you're using Dynamics 365,
SAP, Oracle, or another ERP, this solution modernizes AP from end to end.
🧾 PDF invoice in → AI
extraction → Validation → Approval → ERP-ready entry
Deployed in your cloud, integrated with your business rules,
and ready to scale.
Business Scenarios Solved
- Eliminate
manual invoice data entry
- Reduce
errors and late payments
- Ensure
PO/invoice matching before approval
- Streamline
AP audit trails
- Provide
visibility into invoice cycle time and status
Key Features
- Azure
AI Form Recognizer (prebuilt or custom invoice models)
- Line-item
and header/footer extraction
- Vendor
and PO cross-validation
- Automated
routing to approvers (Power Automate or custom logic)
- Integration
with Dynamics 365, SAP, Oracle, and more
- Real-time
reporting (Power BI optional add-on)
- Optional
Copilot interface for invoice inquiries
Technology Stack
- Azure
AI Document Intelligence
- Azure
Functions or Logic Apps
- Power
Automate or Power Apps
- Azure
SQL or Dataverse
- Optional
integration with ERP APIs or connectors
Use Cases
- Automate
ingestion of emailed or uploaded vendor invoices
- Extract
line-level PO references for matching
- Route
utility, subcontractor, or expense invoices for tiered approvals
- Handle
invoice exceptions, duplicates, or non-PO workflows
- Track
AP cycle times across vendors, regions, or departments
Security & Compliance
- Azure-native
architecture
- Full
RBAC and audit logging
- Deploy
in your tenant for data control
- GDPR
& SOC 2 compliant foundations
Preview
1 imageAgent build and provenance
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Compliance
- 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.
Vendor
External enrichment
Sources
Publisher resources
1 linkLinked repositories
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.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

