Your accounts payable inbox is drowning. Unstructured emails flood in from hundreds of vendors—W9 requests, payment inquiries, statement reconciliations, banking changes—each requiring someone to read, research, and respond. Your team spends hours copying invoice numbers between systems just to answer a simple status question.
In this on-demand webinar, AppZen's Artin Rodriguez demonstrates how AI agents are transforming AP inbox management from a manual bottleneck into an intelligent, automated workflow. You'll see live demonstrations of how the AI categorizes incoming emails, generates accurate responses by pulling real-time data from your ERP, and tracks performance across your entire AP team.
Whether you're managing a single shared inbox or dozens across multiple facilities, this session shows you how to centralize operations, eliminate repetitive research, and give your team the bandwidth to focus on exceptions that actually need human judgment.
What leading finance teams are achieving
97%+
data extraction accuracy
42+
languages supported
The hidden cost of unstructured AP inboxes
Most AP teams operate with a fundamental problem: every email that arrives looks different. A W9 request from one vendor has a completely different format than the same request from another. Payment inquiries come with subject lines that range from detailed to cryptic. Statement reconciliations require someone to manually cross-reference invoice numbers across multiple systems.
When five or ten people share a single inbox, coordination becomes guesswork. Has someone already replied to this vendor? Who's handling the banking change request? How long are inquiries sitting before they get a response? Without visibility, you can't measure performance or identify bottlenecks.
The result is hours of repetitive work—reading emails, copying invoice numbers, switching between systems, typing responses—that could be handled automatically if the AI understood what was being asked.
The evolution from automation to AI agents
Traditional automation handles simple tasks: triggering workflows, routing documents, applying OCR to extract text. But it can't understand context, make decisions, or generate intelligent responses. That's where AI agents represent a fundamental shift.
AppZen's AI Agents combine large language models with natural language processing to actually comprehend what's in an email—regardless of how the vendor wrote it. They don't need structured templates or specific subject line formats. They read, understand, and act.
The AP automation evolution
Manual Processing — Teams read every email, research statuses in separate systems, type responses individually.
Basic Automation — Workflows trigger automatically, OCR captures some data, but humans still handle interpretation.
Autonomous Processing — AI and RPA handle routine tasks, but decision-making still requires human intervention.
AI Agents — Natural language processing enables autonomous decision-making, response generation, and intelligent routing.
AI Workforce — Agents handle the majority of processes with learning capabilities that improve over time.
"Our AI is smart enough to understand the email regardless of how it's written. You don't need to tell your vendors to change anything—the AI reads, understands, and responds."
Artin Rodriguez, Manager, US Solutions Consultants, AppZen
What you'll see in this webinar
Artin Rodriguez walks through the complete AI Agent Workbench with live demonstrations, showing exactly how the system processes emails from arrival to resolution.
Automatic email categorization
The moment an email arrives, AppZen's AI analyzes the content and applies the appropriate category—W9 request, payment inquiry, statement reconciliation, account information change, duplicate invoice, and more. No manual tagging required. The AI reads the email body and attachments to understand what's being requested.
This categorization powers everything else: automatic assignment to the right team member, priority routing, and performance tracking by category type.
AI-generated responses with real-time ERP data
When a vendor sends a statement with ten invoice numbers asking for payment status, the AI doesn't just recognize the request—it looks up each invoice in your ERP system and generates a complete response. No copying and pasting invoice numbers. No switching between applications. The AI pulls real-time status information and drafts a professional reply.
Your team reviews the generated response, makes any adjustments, and sends it, turning a fifteen-minute research task into a thirty-second review.
Centralized inbox management
Whether you have one shared inbox or forty across different facilities, AppZen consolidates everything into a single workbench. You can see which team member is handling which email, how long requests have been open, and which vendors are sending the most inquiries.
Custom views let each user see exactly what's relevant to them. Managers get full visibility. And nothing falls through the cracks because every email is tracked from arrival to resolution.
Autonomous invoice processing
The webinar also demonstrates how the workbench connects to AppZen's Autonomous AP for accounts payable processing. When an invoice email arrives, the system automatically extracts all data—header information, line items, GL codes—at 97%+ accuracy without templates or manual mapping. Invoices flow directly into your financial system with intelligent coding based on your historical patterns.
ERP integrations
AppZen connects directly via API to major financial systems including Oracle, NetSuite, SAP, JD Edwards, Coupa, and Ariba. For systems without direct API integration, flat file connections provide the same functionality.
The AI uses these connections to pull real-time invoice statuses, payment information, and vendor data, enabling accurate response generation without manual lookup.
Analytics that drive accountability
The webinar concludes with a walkthrough of the analytics dashboard, showing how finance leaders can track AP inbox performance across their entire team. See emails by category, response times by assignee, duplicate detection rates, and predicted versus actual responses used.
These are actionable insights, not vanity metrics, that help you identify which vendors need attention, which team members need support, and where automation is delivering the most value.
Video chapters
03:00 AppZen Platform Overview and Customer Success
06:30 The Evolution of AP Automation to AI Agents
10:00 Why We Built AI Agents for AP Inbox
13:00 Live Demo: Outlook Plugin Integration
16:00 Live Demo: AI Agent Workbench
20:00 Email Categorization
24:00 Generated Responses for Statements and Inquiries
30:00 Autonomous Invoice Processing
35:00 Analytics and Performance Tracking
Who should watch this webinar
AP managers and directors looking to reduce the time their teams spend on email research and manual responses.
Finance leaders who need visibility into inbox performance and vendor communication patterns.
Shared services teams managing multiple inboxes across facilities or business units.
IT and operations leaders evaluating AI solutions that integrate with existing ERP systems like Oracle, SAP, or NetSuite.
About the presenter
Artin Rodriguez
Manager, US Solutions Consultants at AppZen
Artin brings nearly a decade of experience in AP automation and expense management, including eight years at SAP Concur before joining AppZen in 2022. He works directly with enterprise finance teams to implement AI-powered solutions that transform manual processes into intelligent automation.
Key takeaways
What you'll learn
- How AI agents differ from traditional automation and why the distinction matters for AP
- Why centralizing multiple inboxes into a single workbench improves visibility and accountability
- How AI-generated responses eliminate manual research for payment inquiries and statement reconciliation
- What 97%+ extraction accuracy means for autonomous invoice processing
- How analytics help you track team performance and vendor communication patterns
- Which ERP systems integrate directly and how flat file connections work for others
Continue learning
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See AI Agents in Action
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