There's a person behind every great AI conversation

What Is a Conversation Designer?

As artificial intelligence (AI) becomes a bigger part of everyday life in Australia, a new kind of design role has quietly gone from niche to mainstream. A Conversation Designer is the person behind every interaction you have with a chatbot, virtual assistant, or AI-powered system. According to the Conversation Design Institute, their job is to make sure AI assistants communicate in ways that actually work, for both the business and the customer. That might mean writing out dialogue flows or shaping how a large language model (LLM) sounds and behaves.

The role blends UX design, linguistics, and AI engineering all into one. As Voiceflow describes it, conversation design is about crafting interactions that genuinely connect with people, using tools like natural language processing, machine learning, and large language models. Day-to-day, that means mapping out what users are trying to do, writing the dialogue, planning for when things go wrong, testing the experience, and keeping an eye on how it's all performing once it's live. Conversation Designers work closely with product managers, developers, UX designers, and data scientists. They are the link between what the technology is capable of and what people actually need from it.

Roles and Responsibilities

The day-to-day work of a Conversation Designer is a mix of creative and analytical tasks. Based on guidance from industry practitioners and career resources, here is what they typically get up to:

• Designing and scripting conversation flows, including the branching paths a conversation can take and what happens when a user says something unexpected.

• Running user research and usability testing to make sure interactions feel natural and actually give people what they're looking for.

• Shaping the AI's personality, keeping the tone, vocabulary, and overall vibe consistent with the brand across every interaction.

• Mapping out what users want and building logical flowcharts and decision trees to keep conversations on track and responsive.

• Working with platforms like Voiceflow, Dialogflow, or Botpress to design, test, and refine conversational experiences.

• Tracking how things perform after launch and tweaking conversation flows based on what real users are actually doing.

While the role shares some common ground with UX writing and content strategy, it's its own distinct discipline. The focus is on dialogue as the main interface, rather than written content on a page or screen. A Conversational AI Designer also brings a deeper understanding of how AI systems actually work, which sets them apart from a traditional content or UX writer.

Why Australian Organisations Should Care

Australia is at a turning point when it comes to AI. According to Deloitte's State of AI in the Enterprise 2026, 61% of Australian companies are already seeing efficiency gains from AI, but most are still using it to improve existing processes rather than rethinking how they operate from the ground up. At the same time, a report from OpenAI and the Business Council of Australia estimates AI could add up to $142 billion to Australia's GDP each year by 2030. For organisations putting money into AI-powered customer-facing systems, getting the conversational design wrong is not just a minor hiccup. It can directly damage return on investment, erode brand trust, and cost you customers.

The argument for having dedicated Conversation Designers is just as strong when you look at customer experience. IBM's research on chatbots in retail found that visitors who engaged with an AI service were significantly more likely to convert than those who didn't. These kinds of results don't just happen on their own. They come from well crafted conversational experiences, built by people who understand both how humans communicate and what AI can actually do.

Use Cases Across Australian Industries

Conversation Designers are already leaving their mark on customer experiences across a wide range of sectors. The global chatbot market is projected to hit $24.3 billion by 2030, and Australian organisations are getting on board fast. Here's where it's happening:

• Financial services: Virtual assistants are handling everything from balance enquiries to transaction alerts and financial guidance. Think Bank of America's Erica model. Australian banks and superannuation funds are following a similar playbook, using AI to reduce call centre load while improving the experience for members and customers.

• Insurance and utilities: AI chatbots are managing millions of customer conversations every year. Suncorp, for example, has deployed AI-enabled chatbots handling their customer interactions, gaining recognition from the Australian AI awards in 2024. 

• Retail and e-commerce: Conversational AI is helping customers find products, get personalised recommendations, and sort out post-purchase questions, bringing something closer to the in-store experience into digital channels.

• Healthcare and government: Virtual assistants are taking pressure off frontline staff by handling appointment bookings, eligibility enquiries, and helping people navigate services. The 2025 Australian National AI Plan has also flagged AI adoption in healthcare and social services as a national priority.

• Internal operations and HR: Organisations are using conversational AI for employee self-service, onboarding, and IT helpdesk support, freeing up HR teams to focus on work that actually needs a human touch.

Across all of these areas, one thing stays consistent: the technology on its own is not enough. Without a skilled Conversation Designer shaping how those interactions unfold, even the most advanced AI system can end up frustrating users, hurting brand perception, and falling well short of what it promised to deliver.

How Nomat Can Help

At Nomat, we've spent years working with enterprise level organisations to design complex, customer-facing digital experiences from the ground up, always with real people at the centre. That experience puts us in a strong position as conversational AI moves into the mainstream.

Conversational design is about a lot more than writing chatbot scripts. Done well, it takes a deep understanding of your users, your brand, your business context, and the technical platform you're building on. Our team brings together UX strategy, interaction design, content design, and AI expertise to help organisations work through every stage of the process, from discovery and dialogue mapping right through to prototyping, testing, and ongoing optimisation after launch.

We also understand the challenges that come with being a large Australian organisation. Legacy systems that need careful integration. Diverse user groups with varying levels of digital confidence. Brand voices that need to stay consistent across every channel. And real pressure to show a measurable return on AI investment.

Whether you're launching your first customer-facing AI assistant, fixing a virtual agent that isn't hitting the mark, or looking to build conversational design capability as part of a broader digital transformation, Nomat is ready to help you build something that genuinely works, for your customers and your business.

Ready to start a conversation about conversation design? Get in touch!