ZERO SHOT - AI & Business. Anti-Hype.

Glass Box

ZERO SHOT gives leaders clarity on AI without the hype. Hosts James (The Technical Realist) and Llew (The Boardroom Proxy) unpack what truly matters at the intersection of AI, business and strategy in Australia. From sovereign capability to agentic workflows, we break down the decisions shaping the country’s technological future and why they matter for Boards and executives. No noise, no jargon, just grounded insight. James: Chief AI Officer at Cadent | AI Governance & Strategy Executive (Ethical AI) Llew: Managing Director at Advancer | AI Strategy & Digital Produced by Yennia La Rotta.

  1. Nov 2

    EP 40: AI Strategy - Where AI Actually Fits with Jeroen De Flander

    You don’t need an AI strategy. You need a business strategy that knows where AI actually fits. In Episode 40 of Zero Shot, James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury are joined by global strategy and execution expert Jeroen De Flander to explore how leaders can integrate AI into business strategy, prioritise the right opportunities, rethink workforce and customer value, and turn AI ambition into execution without getting lost in pilots, tools or hype. ⚡ KEY HIGHLIGHTS • Why you probably don’t need a separate AI strategy• Jeroen’s 3A Model, Augment, Automate and Aspire• How to prioritise AI opportunities and avoid pilot overload• Why HR and workforce planning matter more in the AI era• Why AI transformation must be business-led, not treated as an IT project• When AI should force you to rethink your business model ⏱ TIMESTAMPS 00:00 Where does AI actually fit in strategy?02:19 Meet Jeroen De Flander05:19 Bridging the AI knowledge gap in the boardroom07:03 Where to play and how to win09:58 Why you don’t need a separate AI strategy11:50 The 3A Model, Augment, Automate, Aspire16:38 How to prioritise AI opportunities19:53 Should AI agents have names and sit on the org chart?21:58 The future role of HR and workforce planning26:09 Why AI transformation must be business-led31:23 Turning AI strategy into execution35:41 When AI changes your business model38:28 What leaders are still underestimating about AI40:33 From big software platforms to orchestrated AI43:04 Zero Shot Fast Five 🎥 CONTINUE WATCHING ✅ EP 25, How to Identify What AI Should Actually Be Doing in Your Business Tools and Frameworks mentioned in this episode Jeroen De Flander, strategy execution and AI strategy insightsThe 3A Model, Augment, Automate and AspireStrategy Execution, practical frameworks for turning strategy into actionTIAS School for Business and Society, AI strategy and executive educationABOUT ZERO SHOT ZERO SHOT gives business leaders clarity on artificial intelligence without the hype. AI & BUSINESS. ANTI-HYPE. If this conversation was useful, subscribe to ZERO SHOT, like the episode and share it with a leader trying to work out where AI actually belongs in their business. Does your organisation really need an “AI strategy”, or does AI need to become part of the strategy you already have? Tell us in the comments. #ArtificialIntelligence #AIStrategy #AIForBusiness #BusinessStrategy #AILeadership #AITransformation #StrategyExecution #AIAdoption #AgenticAI #FutureOfWorkProduced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  2. Oct 26

    EP 39: Shadow AI | Your Team Is Using AI You Can’t See. Should You Stop Them?

    What happens when your team is already using AI you cannot see? Shadow AI is spreading faster than many organisations realise. Employees are using personal ChatGPT accounts, free AI tools, meeting assistants and other platforms to work faster and produce better results, often before company policies, training and governance have caught up. In this episode, James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury unpack what Shadow AI actually is, why capable employees turn to unapproved AI tools, where experimentation becomes business risk, and how leaders can bring AI use into the open without killing the speed and initiative that made people adopt it in the first place. Key Highlights • Why Shadow AI is often a governance problem• What drives employees toward unapproved AI tools• When useful experimentation becomes meaningful business risk• The difference between AI risk and information security risk• Why blanket AI bans can reduce visibility• How to discover Shadow AI across an organisation• Why approved tools alone are not enough• How to make the safe path easier than the shadow path Tools and Frameworks mentioned in this episode Shadow AI Risk Assessment - Review data, access, actions and dependencies to understand the real level of AI risk.AI Amnesty Period - Create a temporary safe window for employees to disclose how they are already using AI without fear of punishment.Anonymous Shadow AI Survey - Identify unapproved tools, account types and usage patterns without turning discovery into surveillance.AI Use Case Governance - Evaluate AI based on the specific task, data, risk and business outcome rather than approving or banning tools broadly.Enterprise Risk Register - Track AI related risks, including emerging cybersecurity threats and unmanaged AI use, alongside other operational risks. Episode Chapters 00:00 Why Shadow AI is already inside organisations12:46 What Shadow AI actually means15:50 Why good employees use unapproved AI21:09 When Shadow AI becomes business risk25:23 How to govern AI without killing momentum29:56 How to discover Shadow AI34:01 Bringing hidden AI use into the open39:38 Making the safe path easier40:11 What leaders should do this week 🔗 LinkedIn: https://www.linkedin.com/company/zero-shot-ai-podcast/about/ 🌐 Zero Shot: https://zeroshot.com.au/ About Zero Shot ZERO SHOT gives business leaders clarity on artificial intelligence without the hype. James Gauci and Llew Jury unpack what actually matters across AI strategy, AI governance, generative AI, automation, agentic AI, leadership and the future of business, bringing practical experience from inside the industry to the decisions organisations are making right now. If this episode was useful, follow ZERO SHOT and share it with someone responsible for AI adoption, governance or technology inside their organisation. Do you know what AI tools your team is already using? New episodes weekly. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  3. Oct 19

    EP 38: AI Consulting | How Do You Spot the Real Experts?

    ⁠⁠⁠Shape the show There are more AI consultants on LinkedIn right now than there are businesses that have actually put an agent into production. So how do you tell the real ones apart? In Episode 38 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury take on the flood of AI advisory noise, where the genuine experts and the people who read a Medium article last Tuesday use exactly the same words. This is an honest look at why AI consulting has become a road to nowhere for so many businesses, who is actually doing it right, and the practical bit that matters most: how to map out agents and automations so you build the right thing in the right order, before anyone says the word agent. Key Highlights Why the supply of AI advice has outrun the supply of real resultsLanguage models are hot air generators in the wrong handsThe Dunning-Kruger effect a ChatGPT account hands every new expertBad advisors throw technology at what is really a people problemRisk, cyber, and MCP access now sit at the top of the checklistPeople, process, data, tools, the four words before agentStart with read access and sandbox before you build anythingReal mapping work beats innovation theatre every timeTwo Questions to Test an AI Consultant Llew: What do you know about my business, and how would you improve it? If they go straight to tech instead of revenue, efficiency, or making staff’s lives easier, that is a red flag.James: Put a security questionnaire in the room. Ask where the data goes, what agreements are in place, whether they run penetration testing. Honesty about what they don’t know is a good sign.Tools and Frameworks Mentioned GEV Decision Model - The JSON-output classifier model generating huge buzz, weighed honestly against off-the-shelf small models that do the same job without lock-in. https://www.anthropic.com Grokbot (xAI) - Elon Musk’s new business-user agent platform, accessed through Cursor, built around reverse prompting and configurable bots. https://x.ai Qwen 3.5 - An off-the-shelf open model cited as a capable, non-proprietary alternative for fast classification tasks. https://qwen.ai MAPPED Agent Mapping Session (Advancer) — Llew’s three-hour workshop that crowdsources process maps and turns whiteboard photos into functional specs via Claude. https://advancer.com.au People, Process, Data, Tools - James’s four-part framework for understanding a business problem before building any agent. https://cadent.au Connect with the Hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. Sponsors Advancer⁠⁠This episode is brought to you by Advancer, the AI agency that cuts through the hype to deliver real, measurable results. They build quality AI and automation for Australian businesses, the kind that actually moves the needle instead of just adding noise. Visit advancer.com.au to start scaling your business intelligence today. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  4. Oct 12

    EP 37: AI Sovereignty | Are You Locked In and Don’t Know It?

    ⁠⁠⁠Shape the showTwo businesses run the exact same AI with the exact same results. The difference only shows up the day one of them tries to leave. Which one are you? In Episode 37 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury ⁠ go underneath the postcode of where your data sits and into what AI sovereignty actually means. Once you connect AI to your email, files, and customer records, the hard questions begin: who can reach your data, who controls the environment it lives in, and could you ever walk away. This is a grounded, no-hype breakdown of why “stored in Australia” is the shallowest layer of sovereignty, and it closes with a practical six-step exit plan you can act on. Key Highlights Location tells you where data sits, sovereignty tells you who controls itEven Anthropic doesn’t own its chips or compute, dependencies run deepSecurity, privacy, and sovereignty are three different problems, not oneThe connector question: who else in the business can see what you hook upYou don’t need the same control everywhere, match the workload to the riskTreat your AI stack like an investment portfolio, cloud, device, and sovereignLocal models on owned hardware are coming as the chip market resetsYour data must be genuinely exportable, that is most of the battleThe Sovereignty Test (ask before any important AI workload) Where is your data stored and processed?Who can reach it, technically, contractually, and legally?Who controls the infrastructure, the model, and your critical dependencies?Choice, could you move the workload, model, or data somewhere else?Continuity, could you keep operating if the provider vanished tomorrow?Tools and Frameworks Mentioned GEV Decision Model - A fast, low-cost classifier-style model now going into real agent proposals as the AI brain for routing and data classification. Microsoft 365 Connectors for Claude - The integration that raises the practical access question of who else in a business can see connected inboxes and files. On-Premise and Self-Hosted Models - Locally deployed AI on owned hardware for regulated, high-stakes workloads, expected to grow as the RAM and NAND markets settle. LinkedIn Data Export - A real-world test of how hard providers make it to retrieve your own data, forced only by regulation. Connect with the Hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. Sponsor ⁠Cadent⁠This episode is brought to you by Cadent. When AI starts influencing decisions and recommendations that affect real people in regulated settings, someone has to make sure that AI is trustworthy, accountable, and defensible. Cadent plans, builds, operates, and governs full stack AI for high stakes industries, hosted onshore in Australia and measured against real business outcomes. Book a discovery call at cadent.au. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  5. Oct 5

    EP 36: AI vs Brokers - What Still Makes a Middleman Worth Choosing?

    ⁠⁠⁠Shape the showWhen AI can search, compare, and negotiate for you, which of the businesses built to do that for you still deserve to exist? In Episode 36 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury turn their attention to the intermediaries, the brokers, comparison sites, aggregators, and advisors whose entire model was being the layer between you and the market. After an AI insurance app launch wiped billions off broker stocks before lunch, the question is urgent. This is a grounded look at why these middlemen won in the first place, the tension that was always inside the model, and whether AI replaces them entirely or simply becomes their next channel. Key Highlights Why comparison sites and brokers won big over the last fifteen yearsThe pay-to-play tension hiding inside impartial recommendationsDoes AI replace the middleman or just become its next channelFirst-party data and MCP servers as the intermediary's lifelineAI companies want the picks and shovels, not the regulated liabilityRelationship-driven industries like finance may actually growThe hand or the robot test applied to brokers versus advisorsWe are not rational actors, and trust still wins the big decisionsTools and Frameworks Mentioned Claude by Anthropic - Positioned as a likely partnership player for regulated intermediaries, drawing a parallel to Google's early don't-be-evil positioning. Meta Muse - Meta's consumer AI assistant, the most downloaded free app in the US, recently blocked by Amazon over unauthorised agent browsing. Model Context Protocol (MCP) - The standard intermediaries will need to adopt to feed verified price, live availability, and real relationships into AI systems. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠Advancer⁠, the AI agency that cuts through the hype to deliver real, measurable results. They help Australian businesses identify where AI can genuinely create value, then design and build the agents, automations, and custom AI solutions that make those workflows work in practice. With over a hundred clients across Australia, visit advancer.com.au to move from ideas to implementation. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  6. Sep 27

    EP35: What Happens When AI Becomes the Customer?

    ⁠⁠Shape the show For decades you competed for human attention. So what happens when an AI is the one searching, comparing, and choosing on your customer's behalf? In Episode 35 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury explore one of the biggest shifts coming for every business that sells anything: the arrival of a new layer between you and your customer. When a buyer tells an AI to find the option that fits their budget, values, and long-term needs, you are no longer trying to win the person. You are trying to be understood, trusted, and shortlisted by the AI that represents them. This is a grounded look at what happens to competition, pricing power, brand, and customer relationships when comparison becomes effortless. Key Highlights A new intermediary now sits between your business and the buyerThe conversion moment has moved into a window you no longer controlBeing found is no longer enough, you have to be pickedWhat protects your margin when customers compare everything instantlyWeak differentiators fade, real ones get amplified by AIReviews, reputation, and verifiable trust become defensible valueGoogle and Meta hold the data advantage as AI becomes the buyerThe takeaway framework: machine chosen or human ownedTools and Frameworks Mentioned Claude Commerce Agents: Anthropic's blueprint for e-commerce, handling product search, comparison, and recommendations on the retailer side and inventory and pricing on the merchant side. Meta Muse: Meta's consumer AI assistant that leverages deep personal data to compare options and complete tasks like restaurant bookings, not yet available in Australia. GEV Decision Model: A very fast classifier-style LLM that returns machine-readable JSON rather than prose, useful for rapid data classification in pipelines and data lakehouses. Answer Engine Optimisation (AEO / GEO): The discipline of making a business legible, credible, and verifiable to AI so it surfaces inside AI-generated answers rather than traditional search. Machine Chosen or Human Owned: Zero Shot's framework for leaders to classify which parts of the customer relationship AI will decide and which must stay human led. Connect with the Hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. Sponsors CadentThis episode is brought to you by Cadent. When AI starts influencing decisions and recommendations that affect real people in regulated settings, someone has to make sure that AI is trustworthy, accountable, and defensible. Cadent plans, builds, operates, and governs full stack AI for high stakes industries, hosted onshore in Australia and measured against real business outcomes. Book a discovery call at cadent.au. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  7. Sep 21

    EP 34: The SaaSpocalypse - What Happens When AI Becomes the User?

    For twenty years, being good at your job meant learning how to navigate software. So what happens when AI is the one clicking the buttons? In Episode 34 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury unpack one of the biggest shifts coming for enterprise software: when AI becomes the primary user, the whole relationship between humans, apps, and the companies that sell them starts to change. If you no longer open the CRM, the finance platform, or the payroll engine yourself, and an AI moves across those systems for you, then the questions get uncomfortable fast. Why do we still price software per human seat? What are we actually paying software companies for? And where does the durable value move to when the interface matters less? Key Highlights AI is becoming the intermediary between you and your dataSoftware goes less visible, not less important, especially under compliancePer seat pricing breaks the moment AI does the workThe shift from per user to per user plus consumptionVendors licensing models at roughly a fifty percent cut reshapes the economicsDon't rip out software at renewal, know what the vendor actually ownsData, business logic, and integrations are the hard things to replaceThere will be losers, and there will be trillion dollar winnersFive Questions to Ask Before Your Next Software Decision What are we actually paying for, access to a service or real work done?How much of this still needs a human to interact with the app directly?If AI performed more of this workflow, would per seat pricing still make sense?What does this vendor actually own, your data, workflows, and business logic?How is this vendor preparing for AI users, AI agents, and new pricing models?Tools and Frameworks Mentioned Minimax on AWS Bedrock - A high-performing open weight model now available on Amazon's cloud, offering frontier performance without model-level vendor lock-in. Microsoft Copilot Cowork - The agentic, consumption-based layer inside Copilot, illustrating the move from per seat to per user plus consumption pricing. ChatGPT with Astra - OpenAI's flagship model, referenced alongside Sam Altman's comments on pacing releases around alignment and safety. AI Orchestration - Coordinates actions across multiple systems and workflows through AI.Human Up the Stack - Moves people from operating software to supervising judgment and outcomes.Performance-Based Software Pricing - Links software cost to usage, outcomes or completed work instead of seats.Software Stack Audit - Reviews what a business is actually paying for, what still requires human interaction and where AI could change the economics.Technology Investment Portfolio - Treats software, AI and internal development as different investments with different risk and return profiles. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by Advancer, the AI agency that cuts through the hype to deliver real, measurable results. They help Australian businesses identify where AI can genuinely create value, then design and build the agents, automations, and custom AI solutions that make those workflows work in practice. With over a hundred clients across Australia, visit advancer.com.au to move from ideas to implementation. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  8. Sep 14

    EP 33 Data First - Is Your Business Actually AI-Ready?

    What if the biggest obstacle to AI isn’t the model, but the data underneath it? In Episode 33 of ⁠⁠⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury go beneath the AI interface to explore the data foundations that determine whether enterprise AI actually works. They unpack AI readiness, data quality, data governance, data lakehouses, structured and unstructured data, context windows and why the latest AI model cannot compensate for unreliable information underneath it. Key Highlights Why AI projects increasingly fail because of dataWhat good and bad data actually meanWhy newer AI models cannot fix weak foundationsHow data lakehouses support modern AI systemsThe untapped value inside unstructured business dataWhy data governance is becoming a board issueHow second screening validates AI generated business insightsWhy quality context matters more than data volume Tools and Frameworks mentioned in this episode Databricks Lakehouse⁠ - Combines structured warehouse data with flexible unstructured data for AI workloads. Second Screening - Compares AI generated results against established reporting systems before increasing autonomy.Context Window Management - Limits AI to the most relevant information for more reliable, efficient outputs.Microsoft Fabric⁠ - Data and analytics platform supporting lakehouse architectures and enterprise AI workloads. Snowflake⁠ - Cloud data platform referenced for organising and accessing enterprise data for AI. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by Cadent, the experts in embedding high ROI artificial intelligence into complex, high stakes industries. From technical development to responsible AI governance, they ensure your technology is perfectly aligned with your humanity. Visit cadent.au to build a more certain future for your organisation. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

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About

ZERO SHOT gives leaders clarity on AI without the hype. Hosts James (The Technical Realist) and Llew (The Boardroom Proxy) unpack what truly matters at the intersection of AI, business and strategy in Australia. From sovereign capability to agentic workflows, we break down the decisions shaping the country’s technological future and why they matter for Boards and executives. No noise, no jargon, just grounded insight. James: Chief AI Officer at Cadent | AI Governance & Strategy Executive (Ethical AI) Llew: Managing Director at Advancer | AI Strategy & Digital Produced by Yennia La Rotta.

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