See how AI Voice Agents are helping organisations automate high-volume customer conversations, improve customer experience and create more efficient operations.
Tuesday, 13 October 2026 | 12:00–2:00 PM | 440 Collins Street, Melbourne
What if your organisation could handle thousands of customer conversations with AI Voice Agents, resolving enquiries autonomously, 24/7, while improving customer experience and freeing your people to focus on higher-value work?
Join Great Outcomes for an exclusive Lunch & Learn event exploring how organisations are using AI-powered Voice Agents to manage high-volume customer interactions at scale.
From rebooking requests and delivery scheduling to renewals and complex customer enquiries, AI Voice Agents intelligently engage with customers, understand context, determine the best course of action, and resolve conversations seamlessly, bringing human agents into the interaction only when needed or specifically requested by the customer.
Through live demonstrations and real-world examples, you'll discover how organisations are using AI Voice to transform core business operations, improve customer outcomes, increase operational efficiency, and enable employees to focus on higher-value work.
Who Should Attend?
This event is designed for:
CEOs and Managing Directors
Chief Customer Officers
Chief Operations Officers
Customer Experience Executives
Operations Directors and Senior Leaders
Contact Centre Executives
Digital Transformation and Innovation Leaders
Technology Decision Makers
Event Details
Date: Tuesday, 13 October, 2026
Time: 12:00 PM – 2:00 PM
Location: 440 Collins Street, Melbourne
Food and drinks will be provided.
In this session, you’ll see how AI Voice is being applied to real customer and operational scenarios, including:
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Live demonstrations of AI-powered customer conversations
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Real-world use cases already being used by organisations
Practical applications across bookings, deliveries, renewals and customer updates
Ways to improve efficiency by automating routine, high-volume interactions
Expert discussion on where AI Voice is heading and where human involvement still matters
Giles Potter is the Founder-Director of Great Outcomes, specialising in business transformation and customer experience.
Giles is recognised for driving innovation in service operations and implementing advanced technologies, including AI Voice solutions with strong compliance and data security. He is a sought-after technology advisor for organisations aiming to leverage AI.
Giles combines extensive cloud communications industry knowledge with deep commitment to helping leaders navigate the evolving landscape for improved capability and productivity.
Steve Reck is Technology Lead at Great Outcomes, where he builds the AI agents that handle the communications load for businesses: inbound calls, outbound calls, and SMS.
He takes a conversation a business is already having (or wants to be having) and builds an agent that handles it end to end, from conversation design through to integration, dashboards, and ongoing tuning. Platform-agnostic by design, he works across enterprises large and small operating in international logistics, insurance, real estate and professional services.
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Sometimes the trusted advisor, sometimes the builder, often both.
Why Attend?
AI Voice is moving beyond experimentation into real operational use.
This session will show you where organisations are applying it today, what types of customer interactions can be automated, and where human involvement still matters.
You’ll leave with practical ideas for applying AI Voice within customer service, operations and contact centre environments, whether you’re just beginning to explore AI or already scaling automation initiatives.
Places are limited and attendance is subject to confirmation.
Register your interest today and our team will be in touch to confirm your place at this exclusive Melbourne event.
8b Komaru St, Remuera, Auckland 1050
enquiries@great-outcomes.com
+64 09 523 1400
L5,440 Collins St, Melbourne
enquiries@great-outcomes.com
+61 37 046 4850
