A prioritisation filter that holds up
The outcome-first test Village Roadshow applies when deciding which AI ideas become agents, including the discipline required to hold back the ideas that do not clear the bar.
Inside the Village Roadshow outcome-first journey to agentic AI
Village Roadshow x Business Core Solutions
Most enterprises now have AI pilots running. Far fewer have agents operating in production. The Village Roadshow leaders who closed that gap give a candid account of the decisions, the governance, and the operating model it required, along with what they would approach differently today.
Register for this sessionComplimentary attendance. Registrants unable to join live receive the recording.
A practical conversation about moving from AI experimentation to production agents, and about building the operating model, governance, and internal capability that scale requires.
AI pilots are everywhere. The harder problem is turning a promising idea into an agent that operates safely, reliably, and usefully inside a real enterprise. Krishna Soni and Rajan Rana of Village Roadshow share how their teams moved beyond experimentation, from identifying the problems worth solving through to running agents in production and building a repeatable approach for the agents that follow.
The discussion stays on the operational detail: how use cases are prioritised, where people stay in control, what changes when an agent becomes part of daily operations, and what scaling agentic AI demands across governance, security, data, integration, adoption, and ownership.
The session is built for CIOs, technology leaders, transformation executives, AI leaders, and operational decision-makers who want a working view of enterprise agentic AI once the conversation moves from possibility to production.
Every organisation scaling agentic AI meets the same six decisions, and the order in which they are taken determines how much rework arrives later. Village Roadshow has already made each one in production, and the session works through the reasoning behind them.
The outcome-first test Village Roadshow applies when deciding which AI ideas become agents, including the discipline required to hold back the ideas that do not clear the bar.
The risk-based criteria that determine when an agent may act rather than recommend, expressed in language that carries directly into a risk or audit forum.
What changes once an agent becomes a service that the business and IT jointly own, rather than a pilot a single team is championing.
How security, identity, data access, and risk decisions enter early enough to accelerate delivery instead of gating it in the final weeks.
What the second and third agents surfaced that the first could not, and how those lessons become shared architecture rather than repeated build effort.
How accountability is divided across the business, IT, and the AI function without creating a single-team bottleneck.
The Village Roadshow leaders accountable for these agents in production, hosted and moderated by Business Core Solutions. The account comes from the people who carried the decisions rather than from a vendor summary of them.
General Manager, IT
Village Entertainment
Head of AI Enablement and Transformation
Village Roadshow
Director, Client Engagement
Business Core Solutions
Australia Lead
Business Core Solutions
Roughly 45 minutes of moderated conversation, with the balance of the hour reserved for audience questions. The running order is published in advance so that attendees can plan around the segments closest to their own programme.
The session is most relevant to organisations with AI pilots already underway and nothing yet operating as a production service. The material assumes familiarity with enterprise delivery and governance rather than with model internals.
Registration takes under a minute, and the Zoom joining link arrives immediately with a calendar invitation. Where the live slot does not work, the recording reaches every registrant afterwards.
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