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Agentic AI for Accounts Payable and Invoice Processing
- How an agent reads and interprets an invoice without a rigid template
- What a three-way match is and how an agent performs it automatically
- How to let clean invoices clear while routing only exceptions to people
- The fraud signals an agent can flag, including changed vendor bank details
- How approval limits and segregation of duties stay enforced with an agent in place
- The verification steps to keep in your process before payments go out
Overview of the webinar
This session shows how an AI agent can take on the repetitive core of accounts payable. We begin with the everyday problem: a stack of invoices, each needing to be read, matched, and either paid or questioned. You will see how an agent reads an incoming invoice, extracts the vendor, amount, and purchase order number, runs a three-way match against the purchase order and the goods receipt, and then either schedules payment or kicks the invoice back with the reason it failed. We use a realistic example of a team processing thousands of invoices a month, where the agent clears the clean majority and hands accountants only the exceptions. Throughout, we focus on the controls that matter: approval limits, segregation of duties, and the fraud signals an agent can catch, such as a vendor bank detail that changed just before a large payment. The content is built for a global, mixed-skill audience and assumes no technical background.
Who should attend?
- Accounts Payable Managers and Staff
- Controllers
- Assistant Controllers
- Procurement and Finance operations teams
- Finance Professionals
- Internal Control Owners
- Suitable for CPAs and non-technical finance professionals
Why should you attend?
Accounts payable is high volume, rule-bound, and error-prone, which makes it a natural fit for an agent. When the clean invoices clear themselves, your people spend their time on the disputes that actually need judgment. This session shows how invoice processing changes when an agent handles the first pass, and how to keep fraud controls and approval limits fully intact while it does.
Faculty - Mr.Abdur Rahman
Abdur is a strategic leader focused on the intersection of artificial intelligence, cybersecurity, accounting, and regulatory risk. He helps organizations navigate complex technology environments while strengthening AI governance, security, financial accountability, internal controls, enterprise risk management, and regulatory readiness.
His work centers on the responsible adoption of artificial intelligence across enterprise systems and decision-making processes. He examines how AI governance intersects with cybersecurity, accounting, audit, privacy, compliance, legal obligations, and operational resilience, helping organizations establish practical frameworks for managing emerging risks and opportunities.
Abdur is a Certified Public Accountant (CPA) and a Certified Information Systems Auditor (CISA). He also holds AI-related certifications focused on artificial intelligence, AI governance, responsible AI, machine learning, and emerging technology risk, along with additional certifications spanning security, cloud technologies, governance, and related disciplines. His leadership reflects a multidisciplinary approach to building trustworthy, accountable, and resilient organizations in an increasingly AI-driven regulatory environment.