April 29, 2025
Around Australia and across the globe, organisations are rushing to launch chatbots, using AI to understand user queries, respond appropriately and potentially provide a personalised response.
And for most organisations, that’s where innovation stops. But AI has the potential to be so much more than just a chatbot, mimicking human-like interactions and automating query responses. It’s also revolutionising the Software Development Life Cycle (SDLC) and enabling technology teams to build, test and launch software faster than ever before.
AI can also just as easily introduce chaos if the right foundations aren’t in place. How do you know if an AI initiative will drive real business value in your organisation while being aware of long-term risks like security and technical debt? This is the focus of our next Expert Talk in Brisbane on 7 May. At More than chatbots: How AI accelerates time to value and delivers more with less we’ll look beyond the AI hype and explore real-world examples and approaches of how AI is transforming business outcomes across Australia.
AI continues to dominate the tech conversation. But the focus is shifting – from simply experimenting with AI as an exciting new tool to unlocking genuine value from it and reducing long-term risk, especially in software delivery. In recent chats with more than 50 tech leaders, each at different stages of trying to adopt AI within their software delivery processes, we heard a full spectrum of responses. Leaders remain excited about its potential, but this hope is dampened by real-world implementation challenges such as short-term wins in exchange for long-term consequences, governance processes, security concerns and tool limitations.
In Australia, teams are under pressure to move faster, innovate responsibly and deliver improved customer value at scale. AI is increasingly being seen as the answer to help developers do more with less, especially as GitLab’s recent report found that developers spend less than 25% of their time writing code, with an increasing amount of time required for testing, documentation and security fixes. By using AI to automate and optimise various stages of the software development and deployment process, businesses are aiming to improve efficiency, quality, and speed.
But the right foundations need to be in place for scalability, security, and more. Without disciplined engineering and a clear AI strategy, short-term speed can quickly lead to bad coding practices, inconsistent implementation and unmanageable technical debt.
Our 3-phase framework for adopting AI in your organisation’s technology or product delivery teams focuses on capability building, experimentation, and transformation through adoption.
1. Augmented expertise
We focus on empowering individuals, including developers, product managers and testers, with the right AI tools focused on the right use cases for use in their day-to-day roles – boosting productivity while maintaining engineering discipline.
2. Accelerated initiatives
Rapid experimentation through a real-world “AI exemplar” project to demonstrate value, refine the approach, and codify learnings into a tailored playbook for future AI initiatives.
3. Ongoing transformation
Scale AI-enabled delivery across teams in the organisation with the right structures, governance, and strategy to support long-term, sustainable change.
The question for Australian tech leaders isn’t if AI will play a role in the future of their organisation but how to build a lasting capability beyond the quick wins of a chatbot.
Join us in Brisbane on 7 May to discover how real industry leaders across technology, education and heavy machinery are putting AI to work and seeing real business value. Our panel of experts includes:
All business models have their pros and cons. But, when you consider the type of problems we help our clients to solve at Equal Experts, it’s worth thinking about the level of experience and the best consultancy approach to solve them.
If you’d like to find out more about working with us – get in touch. We’d love to hear from you.
