Finance AI Agents

Automate Every SAP
Finance Process with
Agentic AI.

SAVI AI Finance agents handle your entire AP/AR workflow — from intelligent invoice capture and 3-way matching to GL journal posting and expense compliance — posting natively to SAP FI with zero manual entry and full audit traceability.

SAVI AI Finance AI Agent
1

Invoice Captured

Azure AI + GPT extracts every field from any invoice format with 99%+ accuracy — no manual keying.

2

3-Way Matched

PO, GR, and Invoice automatically reconciled and posted directly to SAP via MIRO API.

3

GL Posted in SAP

Journal entries generated and posted to SAP FI via FB50 & BAPI with full audit traceability.

The Platform Behind Smarter SAP
Finance Automation.

SAVI AI connects SAP FI, AP, and GL workflows with Azure AI — automating invoice processing, 3-way matching, journal posting, and GR/IR reconciliation with zero manual entry.

SAP FI Integration
SAP FI & AP
Native Integration
LLM Extraction
LLM & OCR
Extraction Engine
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SAVI AI Finance Automation
SAVI AI Finance team
SAVI AI robot finance
99%+
Extraction
Accuracy
About SAVI AI Finance

Delivering Smarter
SAP Finance Automation

We are dedicated to eliminating manual finance work in SAP — from invoice capture to GL posting. SAVI AI brings Azure AI, LLM extraction, and SAP-native BAPIs into one seamless automation loop built for enterprise finance teams.

SAP-Native & No-Code
Real-Time Exception Alerts
3-Way Match Automated
Full Audit Trail in SAP
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HOW IT WORKS

From Invoice Received to SAP Posting in 4 Steps

From invoice ingestion to SAP posting, SAVI AI runs a structured finance workflow that keeps every transaction accurate, traceable, and audit-ready.

01
Capture finance documents

Capture Finance Documents

Invoices, expense claims, PDFs, XML, email attachments, and vendor files are collected automatically from every input channel.

02
Extract finance data with AI

Extract Finance Data

Azure AI OCR and LLM models read headers, amounts, tax fields, line items, and supporting references with high accuracy.

03
Validate and reconcile in SAP

Validate and Reconcile

Each transaction is checked against SAP purchase orders, goods receipts, policy rules, and GL logic to catch mismatches early.

04
Post to SAP FI

Post Back to SAP FI

Approved documents are posted via SAP-native BAPIs with audit logs, exception notes, and full traceability for finance teams.

Get Started Today

Ready to Transform Your SAP Finance with AI?

Join 473+ enterprises using SAVI AI to automate workflows, reduce manual effort, and drive measurable business outcomes ? fast.

  • Live demo within 24 hours
  • No credit card required
  • SAP-native deployment in 120 days
  • Dedicated onboarding support

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See SAVI AI Finance in action with your SAP environment

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Frequently Asked Questions

Common questions about SAVI AI financial process automation.

SAVI AI automates accounts payable, accounts receivable, general ledger journal entries, financial period-end closing activities, and treasury operations ? all within the SAP FI/CO framework.

SAVI AI orchestrates period-end activities by automatically running depreciation postings via AFAB, foreign currency revaluations, accrual reversals, intercompany reconciliations, and cost centre allocations in the correct sequence, reducing close cycles from 5 to 8 days down to 2 to 3 days.

Yes. SAVI AI supports parallel currencies, inter-company eliminations, and consolidated reporting across multiple SAP company codes and controlling areas. Exchange rates are fetched automatically from SAP or configured treasury sources.

SAVI AI maintains a complete, immutable audit trail for every automated action. It supports SOX compliance via role-based segregation of duties, IFRS and Ind AS accounting principles, and GST and e-invoice regulatory requirements.

SAVI AI learns from historical journal patterns to auto-populate recurring entries, suggest account codes for new transactions, and flag entries deviating from normal patterns, handling 60 to 75 percent of routine journal entries without manual input over time.