
AI Adoption for Business: Why Most Companies Get It Wrong | Ep 337 | DevReady Podcast
How can businesses successfully adopt AI and turn emerging technology into measurable productivity gains? In this episode of the DevReady PodcastAnthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.Ai, welcomes Thamasha (Tam) Galahena, Founder of Enable, to explore practical AI adoption for businesses. Drawing on his experience in software engineering, startups and AI enablement, Tam shares how organisations can bridge the gap between rapidly advancing AI capabilities and everyday business applications. Together, they discuss AI tools, automation, employee training and the importance of aligning technology with real business needs. Tam reflects on his journey from startup CTO to founding Enable, inspired by the significant productivity gains he experienced using AI coding tools and the limited adoption he observed among other professionals. He explains how businesses can unlock considerable value by mastering readily available AI tools before exploring complex AI agents and automation workflows. Anthony and Tam discuss the importance of selecting suitable AI models for specific tasks, managing costs and understanding where advanced capabilities genuinely add value. They also explore emerging opportunities in AI-powered computer and browser automation, particularly for organisations working with legacy systems, and consider how increasingly autonomous AI agents could handle complex business activities with less human intervention. The conversation explores how structured planning, effective prompting and reusable AI skills can improve productivity and reduce repetitive administrative work. Anthony shares his approach to breaking complex projects into smaller, clearly defined stages, allowing for continuous review and refinement. Tam illustrates the potential of AI skills through a construction industry example, where field notes can be transformed into structured reports in a fraction of the time traditionally required. Both emphasise the importance of providing detailed context, defining expected outputs and implementing safeguards to minimise AI hallucinations. Tam also shares a practical prompting technique: asking AI to interview users, identify missing information and clarify requirements before attempting a task. Turning to AI implementation across organisations, Tam explains how Enable combines technical expertise with industry knowledge to identify practical automation opportunities. Through a network of departmental AI champions, businesses can uncover valuable use cases across functions such as HR, finance, project delivery and operations. Anthony connects this approach to the role of forward-deployed engineers, who work closely with businesses to understand existing workflows and develop solutions around operational requirements. They also discuss testing AI capabilities against previously completed tasks, using clear evaluation criteria to measure accuracy, completeness and reliability. This collaborative approach helps organisations assess where AI can deliver meaningful improvements and where human expertise remains essential. As the discussion draws to a close, Anthony and Tam highlight why business process improvement and change management are fundamental to successful AI adoption. Mapping existing workflows can reveal outdated procedures, unnecessary tasks and inefficiencies that should be addressed before introducing automation. Tam encourages businesses to invest in secure, business-grade AI tools, provide employees with practical training and ensure leadership teams actively participate in learning how AI works. Both agree that experimenting with AI in everyday activities can help people discover new possibilities and develop the confidence to apply those skills professionally. Their conversation offers business leaders a practical starting point for building AI capabilities, improving operational efficiency and making informed technology investments. #DevReadyPodcast #AIAdoption #BusinessAutomation #ArtificialIntelligence #AerionTechnologies


















