DevReady Podcast

In this episode of the DevReady Podcast, Andrew Romeo sits down with Maria Botev, Senior Business Analyst at ORIX Australia, to explore process improvement, business analysis, and continuous improvement in modern organisations. Maria shares her journey from hands-on operational roles to leading process and project frameworks in a corporate environment, highlighting the importance of customer-centric thinking, accountability, and structured problem-solving. This conversation is a practical guide for businesses looking to improve workflows, optimise project delivery, and build scalable systems that deliver real value. Maria explains that effective process improvement begins with clarity and alignment. Visualising processes through mapping inputs, outputs, stakeholders, and workflows helps teams understand how work is actually done and where inefficiencies exist. This approach allows organisations to focus on targeted improvements rather than attempting to overhaul entire systems. In larger businesses, success relies on stakeholder alignment and shared understanding, ensuring that every contributor is working towards the same outcome with clear visibility. The discussion also explores how to break down complex systems into manageable components. Maria introduces a layered approach to business processes, starting from high-level organisational goals and drilling down into detailed operational steps. By defining processes with clear start and end points, along with measurable inputs and outputs, teams can identify root causes more effectively and prioritise improvements with confidence. This structured method supports better decision-making while allowing room for creativity when testing and refining solutions. A key theme throughout the episode is communication and engagement. Maria emphasises the importance of simplifying complex ideas so that all stakeholders can participate meaningfully, regardless of technical background. She also highlights the value of mapping customer journeys early, using personas to understand user behaviour, needs, and expectations. This customer-first perspective ensures that solutions are relevant, usable, and aligned with real-world problems, rather than being driven purely by internal assumptions. The conversation further explores the influence of entrepreneurial thinking and emerging technologies such as AI in process improvement. Maria shares how her involvement in the Startmate community strengthened her focus on value-driven outcomes and practical execution. AI is increasingly used as a support tool for automating reporting, generating insights, and enabling better comparisons across projects. Combined with centralised dashboards and shared data visibility, these tools help organisations reduce duplication, align global teams, and make more informed decisions. Ultimately, the episode reinforces that continuous improvement is essential for business growth, with processes needing to evolve constantly to remain effective and competitive. #ProcessImprovement #BusinessAnalysis #ProjectManagement #ContinuousImprovement #AIinBusiness #DigitalTransformation #CustomerExperience #WorkflowOptimization #TechPodcast #DevReadyPodcast

In this episode of the Theo Moulos, CSO of GrowthHackers and CEO of GrowthRocks about the evolution of growth hacking, AI-driven marketing and the realities of scaling digital businesses. Theo shares insights from his experience building marketing technology companies, launching MarTech products and working with a global community of founders and marketers. Drawing on his background in psychology, computer science and business, he explains how modern growth strategies combine technology, experimentation and data-driven decision making. Theo begins by explaining how his multidisciplinary background led him into marketing technology and growth strategy. Early in his career he focused on applying engineering and agile development principles to marketing, encouraging teams to run frequent experiments and measure results quickly. GrowthRocks gained significant traction by targeting high intent SEO keywords such as “growth hacking agency”, capturing businesses actively searching for growth marketing services. This strategy helped scale the agency into a two-million-dollar business and positioned it within the global growth hacking movement. The conversation then explores what Theo describes as Growth Hacking 2.0, driven by the rise of artificial intelligence and digital transformation. Through initiatives such as Growth Hacking University and partnerships with the GrowthHackers community, Theo and his team expanded their reach across a network of more than 140,000 founders and marketers. He also shares insights from building and exiting several MarTech products, including the marketing platform Loops, and discusses the development of Growth OS, an AI-powered operating system designed to support scalable marketing and business growth. Theo explains how operational playbooks helped GrowthRocks achieve unusually high margins by standardising marketing processes and turning expertise into repeatable systems. These playbooks evolved into a platform that integrates marketing workflows, AI tools and automation. He emphasises that AI tools alone do not guarantee efficiency. Productivity increases when complex systems are simplified and structured so users can access powerful capabilities through natural language and guided workflows. Anthony and Theo also discuss how artificial intelligence is reshaping innovation by orchestrating software tools and APIs through natural language interfaces. This shift allows individuals and small teams to access advanced capabilities that previously required specialised technical knowledge. At the same time, expertise remains essential because professionals who understand the underlying systems can use AI more strategically and effectively. The episode concludes with practical insights for founders and startups. Theo highlights the importance of understanding the entire growth funnel, defining a clear North Star metric and adopting agile marketing strategies that rely on continuous experimentation. He also stresses that many startups fail because they exhaust resources on product development while neglecting distribution and marketing. Sustainable growth requires both a strong marketing strategy and founders who remain actively involved in building traction and guiding the direction of the business. #DevReadyPodcast #GrowthHacking #StartupMarketing #AIinMarketing #FounderInsights #StartupGrowth

In this episode of the Mark Vos, Founder and CEO of Cyber Impact, about the evolving landscape of artificial intelligence, cybersecurity and AI governance. Mark brings decades of experience across technology, consulting and enterprise risk leadership, including senior roles in Big Four consulting and as Chief Risk Officer and Chief Information Security Officer at Iress, a platform that supports the majority of Australian stock market trades. Drawing on this background, Mark shares insights into how organisations can safely adopt AI while managing emerging risks across security, governance and business transformation. Mark reflects on his journey as a lifelong technologist who entered the workforce during the early days of the internet boom in the mid-1990s. His career progressed from cybersecurity consulting into executive leadership roles that expanded his focus from technical security to enterprise-wide risk management covering operational, financial and reputational threats. This broader perspective eventually led him to found Cyber Impact, where he delivers fractional CISO services and strategic security guidance to organisations that require high-level expertise without a full-time executive commitment. The conversation then turns to the rapid rise of artificial intelligence and AI-driven business transformation. Mark describes AI as the next major technological shift following the industrial revolution, electricity and the internet. He believes the pace of change will surpass previous technology waves and deliver profound impact across industries within the next decade. At the same time, he stresses that organisations must combine innovation with responsible governance, particularly as businesses face pressure from shareholders to deploy AI quickly to improve efficiency and competitiveness. Anthony and Mark explore the technical realities behind AI systems, including how large language models operate as complex neural networks with billions of parameters. These systems are inherently non-deterministic, which introduces challenges for security and oversight. Mark explains that prompt manipulation and language-based interactions can create new cyber attack surfaces similar to social engineering. The discussion also highlights risks associated with AI agents that can execute tasks autonomously, access systems or interact with financial services without sufficient safeguards in place. Another major theme is the growing sophistication of AI-generated content such as deepfakes, synthetic media and automated decision systems. Mark notes that AI-generated images and videos have reached a level where even experts can struggle to detect them. Anthony adds that algorithm-driven social media platforms can reinforce misinformation by repeatedly exposing users to similar content. Both emphasise the importance of verifying information through trusted sources and maintaining human oversight when deploying AI in critical environments. The episode also examines the architecture behind modern AI systems, including context windows and memory management. Anthony explains how AI models rely on contextual information to understand conversations, which can degrade when the context grows too large. Mark describes techniques such as using sub-agents to handle specific tasks, allowing the main system to maintain stability and efficiency. Strong governance practices such as external guardrails, least privilege access and independent oversight remain essential to ensure AI systems operate within defined boundaries. Finally, Mark highlights the urgent need for AI governance frameworks at both organisational and societal levels. He believes the world currently has a narrow window to shape responsible AI policies before systems become too deeply embedded across industries. While rapid AI adoption continues to accelerate innovation and productivity, Mark remains optimistic that thoughtful regulation, industry collaboration and open public discourse can guide AI development in a positive direction. #AI #CyberSecurity #ArtificialIntelligence #TechPodcast #DevReadyPodcast #BusinessTechnology #AILeadership

In this episode of the Andrew Romeo, CEO and Co-Founder of Aerion Technologies and DevReady ai, speaks with Sarah-Jane Kurtini, Co-Founder of Tinybeans, Founder of PitchSlap.Me and positioning specialist at S-J Kurtini Consulting. Sarah shares her journey from scaling a global parenting tech platform to helping founders sharpen their product positioning, pitch narrative and growth strategy. Best known for taking Tinybeans from startup to ASX listing, she now focuses on helping early stage and scaling companies achieve product market fit through clear storytelling and structured thinking. This episode is essential listening for startup founders, non-technical entrepreneurs and tech leaders looking to improve positioning, pitch clarity and sustainable growth. Sarah begins by unpacking the origin story of Tinybeans, which started as a milestone tracking tool inspired by her co-founder’s experience supporting his son’s speech development. The real breakthrough came when photo sharing was combined with developmental tracking, creating a product families returned to daily. By personally managing customer service in the early years, Sarah and her team ensured they were building around real user feedback rather than assumptions. That close connection to customers helped drive strong product market fit and ultimately positioned Tinybeans for international expansion and a successful ASX listing. The conversation then turns to the realities of startup life, including taking financial risks, backing the right co-founder and committing deeply to a product you genuinely believe in. Sarah reflects on the importance of conviction, timing and solving a problem you personally understand. After exiting Tinybeans, she found herself drawn to the power of positioning as the foundation of growth. She explains that without clear messaging around the problem you solve and why you are different, efforts across SEO, paid advertising, sales and investor outreach often stall because confused buyers default to no decision. This insight led to the creation of PitchSlap, an AI powered tool designed to help founders refine their narrative and improve their investor pitch. Initially launched as a simple MVP using a Google Form connected to the OpenAI API, PitchSlap validates demand while delivering structured feedback across six core building blocks: market gap, context, solution, traction, vision and team. The tool not only critiques a pitch but rewrites and strengthens it, producing a usable document and optional pitch deck output. By focusing on narrative arc and clarity, Sarah helps founders move from scattered messaging to a compelling investor ready story. Andrew and Sarah close by drawing parallels between PitchSlap and DevReady ai, highlighting the value of structured frameworks in product development and communication. Many founders struggle because they do not know the right questions to ask, and structured guidance creates clarity that accelerates decision making. Customer feedback has shaped PitchSlap’s tone and delivery, with multiple feedback modes ensuring honesty without discouragement. The overarching lesson is clear: positioning, storytelling and structured iteration are powerful growth levers for any startup seeking long term success in competitive technology markets. #StartupGrowth #ProductMarketFit #FounderLife #DevReadyPodcast

In the first AI Update of 2026 for the DevReady Podcast, Anthony Sapountzis and Gareth Rydon, Co-Founder of Friyay.ai, for a deep dive into the biggest AI trends shaping business, software development and digital strategy. This episode explores autonomous AI agents, AI security risks, AI driven search, voice interfaces, AI advertising and the future of user experience design. Gareth brings practical, enterprise focused perspectives to the fast-moving AI landscape. Together, they cut through hype to provide clear guidance for business leaders navigating artificial intelligence in 2026. The conversation opens with a critical look at OpenClaw and the wider surge in interest around autonomous AI agents. Anthony and Gareth question whether recent breakthroughs are genuinely transformative or simply refined versions of existing agent loop frameworks. They address viral claims about self aware AI, clarifying that current systems operate within structured prompts rather than demonstrating artificial general intelligence. Security concerns are front and centre, including exposed API keys and malicious skills embedded within agent libraries, reinforcing the need for governance and risk management. Their advice to organisations is grounded in strategy: slow down, validate sources, and prioritise secure implementation over reacting to influencer driven headlines. From there, the discussion shifts to practical AI adoption inside businesses. Gareth outlines a structured method for building AI skills using Claude, encouraging teams to let the model interview them to clarify requirements before creating new workflows. Both emphasise that strong planning, detailed product requirements and structured user stories remain essential in AI assisted software development. They also explore the rise of voice based AI tools such as WhisperFlow, predicting greater adoption of conversational interfaces in professional environments during 2026. Across tools including ChatGPT, Claude, Codex, Gemini and Google Studio, the key theme remains consistent: thoughtful integration delivers far better results than experimentation without direction. The episode also examines cultural and commercial shifts driven by AI. Gareth highlights the importance of supporting new developers who are learning to code with AI tools, arguing that accessibility expands innovation and strengthens the broader ecosystem. Anthony and Gareth then explore AI monetisation models, including the introduction of advertising within conversational platforms, raising questions around trust, transparency and the integrity of AI generated recommendations. They consider how conversational commerce and Shopify integrations may reshape online shopping journeys, potentially reducing reliance on traditional website navigation while increasing the importance of AI discoverability. Finally, the pair look ahead to the broader AI first landscape. Businesses are rethinking SEO and digital strategy to ensure their websites are cited and surfaced by AI tools such as ChatGPT and Perplexity. Google’s ecosystem, spanning Android, YouTube and device integration, is positioned as a potential dominant force in 2026. The conversation even extends to AI in sport, where performance analytics and wearable technology may reshape training and viewing experiences more than broadcast overlays alone. Throughout the episode, the core message remains clear: artificial intelligence will continue to evolve rapidly, but sustainable advantage belongs to organisations that combine strategic planning, technical depth and long-term thinking. #AI2026 #ArtificialIntelligence #AIStrategy #FutureOfWork #DevReadyPodcast