Application Development & AutomationBusiness AI & JouleFinancials & GRCCase Study

Customer Case Study: Taking a Governed AI Agent into Production to Prevent Duplicate Payments

Wed, 18 Nov 2026 · 2:55 PM – 3:35 PMLevel 5 - Room 5.4
Rajan Rana

Rajan Rana

Head of AI Enablement and Transformation · Village Roadshow Group

Rana leads the enterprise AI and automation agenda at Village Roadshow Group, spanning Theme Parks, Cinemas, Film Distribution and Corporate. His clearest proof point sits in finance: DIANA, an autonomous duplicate invoice detection agent built with the Accounts Payable team, which removed 60 to 70 percent of manual review effort and returned a 440 percent three-year ROI. It is the template for how the group is approaching autonomous finance more broadly, replacing human review of high-volume, rules-bound transactions with agents that run continuously and escalate only the exceptions. He owns a portfolio of 30-plus AI and automation initiatives across enterprise AI platforms, agentic automation and productivity tooling, with accountability for prioritisation, business case development, governance and delivery. He chairs Village Roadshow's AI working group, which sets the sequencing and investment logic for that portfolio. Rana built Village Roadshow's AI capability from the ground up. That included a 12-week AI literacy program with over 160 contributors and engagement three to five times industry benchmarks, and the guardrails the group now runs on, covering data loss prevention, access control and information classification. He holds a Master of Information Systems.

The session

About this session

This case study is a finalist in the SAPinsider APAC 2026 Innovation Vanguard – Customer of the Year category.

Putting an AI agent into a live finance operation requires more than a model that works. It needs a clearly defined role, trusted evidence, human decision rights and named accountability. Village Roadshow put these principles into practice when it deployed DIANA–the Duplicate Invoice Analysis and Notification Agent–in approximately eight weeks to identify suspected duplicates before payment.

DIANA now reviews the complete population of approximately 132,000 supplier invoices across A$425 million in annual AP spend, operating with 99.4% detection accuracy. Hear how Village Roadshow moved from sample-based review to population-level assurance, retained human control over every decision and established an Agent Boss, Agent Coach and executive mandate–creating a repeatable model for taking future AI agents into production across Finance and the wider enterprise.

What You'll Learn

  • What it takes to select, validate and move an AI agent into a live finance process.
  • How to combine AI recommendations with human judgement and auditable controls.
  • How clear ownership and ongoing coaching can support accountable AI at scale.
Application Development & AutomationBusiness AI & JouleFinancials & GRC

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