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M26103 - Navigating AI in Practice: Stand-Alone vs. Embedded Solutions for Invoice Processing (Online)

  • 21 Oct 2026
  • 09:15 - 12:30
  • Online Webinar

Registration


Register
Registration Time: 09:00
Sessions Time: 09:15 - 12:30  including a 15-minute break
Speaker: Mr Michele Hili
Venue:   Online Webinar
Participation Fees 
MIA Members: €40.00
Non-MIA Members: €75.00
Retired Members: €20.00
Students: €30.00

*Group bookings for 3 or more participants available.

BACKGROUND INFORMATION

As Artificial Intelligence rapidly transforms the accounting landscape, practitioners face a crucial strategic choice: leveraging broad stand-alone AI models (such as Claude, Microsoft Copilot, and Google Gemini) versus utilizing embedded AI features integrated directly into core accounting platforms.
This session provides a practical, real-world analysis of both approaches, focusing on one of the most time-consuming workflows in modern practice: invoice and bill processing. Attendees will discover how to harness intelligent data extraction to eliminate manual data entry, reduce error rates, and streamline accounts payable workflows across accounting firms.

SPECIFIC TOPICS TO BE COVERED DURING THE SESSION

Part 1:
  • Foundational AI Architecture & Platform Landscape
  • Demystifying Modern AI: A clear, conceptual comparison between
  • Standalone LLMs (e.g., Gemini, Claude)
  • Autonomous AI Agents (task-driven intelligent agents)
  • Embedded AI (native, software-integrated features)
  • Embedded AI in Action: Practical, everyday examples of embedded intelligence across leading technology and accounting ecosystems (including Google Workspace, Xero, and QuickBooks).

Part 2:
  • Practical Application & Live Demonstration
  • Scenario A — Generalist Extraction via Standalone AI: Live walkthrough using a standalone LLM (Google Gemini) to parse, extract, and structure key financial data directly from supplier bills.
  • Scenario B — End-to-End Automation via Embedded AI: Hands-on demonstration of generate.TAX showing how cloud document ingestion (via manual upload or automated SharePoint sync) uses specialized extraction to stage ready-to-post transactions for accounting platforms.

Why is the session of relevance to our members? 

This session cuts through the technical jargon to deliver immediate, real-world value for finance professionals looking to modernize their workflows. As AI rapidly transforms accounting, understanding when to use standalone models versus embedded tools is fast becoming an essential skill. Attendees will walk away with a practical, fluff-free roadmap to eliminate manual invoice data entry, reduce processing errors, and reclaim lost billable hours making this an unmissable session for anyone looking to boost practice efficiency and learn more about this fascinating world of AI.

    Target Audience

    Accounting professionals, finance leaders, and AP specialists looking for practical, user friendly ways to use AI to automate document processing and streamline firm workflows.

    Speaker's Profile

    Michele (Mick) Hili is an ACCA-qualified accountant with over a decade of experience across traditional audit, financial advisory, and cloud accounting. Currently serving as the Finance Solutions Team Lead at Scope Solutions, Mick specializes in cloud strategy, AI integration, and tech stack optimization. Having built a solid foundation in practice with a Big Four firm, he now focuses on helping accountants and businesses drive efficiency and quality through modern financial technology.

    EVeNT CPE COMPETENCies


    3  Professional


    WEBINARS TERMS AND CONDITIONS

    Terms and conditions  apply


    DISCLAIMER

    By Registering and/or Booking for this event, you agree that MIA will collect your information which will be using it in accordance with its Privacy Notice available at the following link.
    Please note that all webinars are recorded by the MIA. Such recordings will be retained by the MIA for internal use.
                   

    Contact Us

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    E-mail: info@miamalta.org

    Tel. +356 2258 1900

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