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Pete Turnbull shared this𝗚𝗼𝗼𝗴𝗹𝗲 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝗟𝗠 𝗷𝘂𝘀𝘁 𝗹𝗲𝘃𝗲𝗹𝗹𝗲𝗱 𝘂𝗽. It now auto-generates visuals for your audio overviews. I tested it using my post: “𝗛𝗶𝗱𝗱𝗲𝗻 𝗧𝗲𝗰𝗵 𝗧𝗿𝗮𝗽𝘀 𝗪𝗶𝗹𝗹 𝗦𝗹𝗼𝘄 𝗗𝗼𝘄𝗻 𝗬𝗼𝘂𝗿 𝗠&𝗔 𝗦𝘆𝗻𝗲𝗿𝗴𝗶𝗲𝘀” - https://lnkd.in/eZHVyC8a In a couple of minutes, it converted my LinkedIn post into a 5-minute narrated summary - complete with AI-generated visuals. A powerful way to repurpose content and reach busy execs who prefer to listen instead of scroll.
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Pete Turnbull shared thisAfter Paul Woods' first two books (https://lnkd.in/gBXUemMy) this is an autobuy!Pete Turnbull shared thisIt's nearly here. My new book, 'AI on Our Terms' is now available for pre-order (Kindle and Paperback). And I'm excited to share a sneak preview below. "AI on Our Terms: A Leadership Guide to Building People Centred, AI Empowered Organisations" Available 25 September 2025 Over the past nine months, while the AI hype cycle has been in full swing, I've been digging into a bigger question: "How do we embrace AI, without losing what makes our people and our organisation great?" This book is about unlocking the upside of AI... without sacrificing the culture, leadership, and ways of working that give you your edge. The good news? We've seen patterns like this before. If we look back at the last century of management and organisational science, there's a playbook available. Most organisations aren't using it yet... but they should. Want a preview? You can read a sample chapter below and learn more at paulwoods.ai/book If you would like to help (and beat the algorithms while you are at it), two quick things: 1) Pre order a copy today (Kindle or Paperback): - the Kindle version is the lowest price I can set it until 4 July. - Search "AI on Our Terms" in the Kindle store and pre order today 2) Leave a comment below: - After reading the preview, I'd love to hear your thoughts For Paperback pre orders, there are options for individuals or businesses, including a chance to be listed in the acknowledgements for bulk orders placed before 30 August. Learn more at paulwoods.ai/book Thanks for all your support. It has been a labour of love the past few months, and I can't wait to get this book into your hands. (and a big thank you to the handful of beta readers who have provided early feedback!)
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Pete Turnbull shared thisSome additions 😁 9.1 📨 Or in a personal Git repo... linked to their work email 9.2 🗝️ Or requires a serial/USB dongle on a physical server 26.1. ⚖️ Explain “free for personal use” vs enterprise... again 26.2 🧠 Realise that GPL code made it into prodPete Turnbull shared thisHow to Create an Application Inventory in 27 Easy Steps 1. 🔍 Ask around 2. 📊 Get 5 different spreadsheets 3. 🔗 Merge them 4. 😢 Cry 5. ❓ Realise they list different apps 6. 🔁 Ask again 7. ⏳ Wait 3 weeks 8. 🎯 Discover 3 more apps running in #Marketing 9. 🖥️ Find one hosted on a server under someone’s desk 10. 📚 Google the #acronyms 11. 😭 Cry again 12. 💰 Ask #Finance 13. ☁️ Find #SaaS nobody authorised 14. 💻 Loop in #IT 15. 📋 Start another spreadsheet 16. 💥 Spreadsheet corrupts 17. 🔄 Start over 18. 🧩 Build a list 19. 🤔 Realise it duplicates the CMDB 20. 🧾 Ask procurement 21. 🕵️♂️ Find more contracts 22. 📬 Discover shared mailboxes with admin access 23. 🧯 Flag security risks 24. 🧹 Try cleaning the data 25. 📉 Discover usage dropped 3 years ago 26. 🔒 Get stuck in license debates 27. 🧘 Surrender to the chaos Creating an #ApplicationInventory feels like herding cats 🐈⬛, managing #ShadowIT 🕶️, and playing detective 🕵️—all at once. #EnterpriseArchitecture isn’t a job. It’s a journey 🚆. 👉 How close is this to your reality? 💬 Share your wildest app discovery story or your smartest #AppRationalisation win. #EAhumor #AppRationalisation #EnterpriseReality #ITInventoryFails #DigitalGovernance #ApplicationPortfolioManagement
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Pete Turnbull shared thisA universal "Rule of thumb: never assume understanding. Always probe, simplify, and protect." great post Matthew Day!Pete Turnbull shared this"Smart boards still miss the obvious—and the CFO is left to clean up the mess. At a Fortune-500 briefing, half the room hadn’t even noticed our capital intensity. I said, “You probably know this,” and walked them through the deal structure. The light bulbs went off. In consumer digital health, the published accounts looked nothing like the management P&L. One oversimplified bridge—and the penny dropped (plus an apology). Same company, a quick coffee chat: a director admitted revenue drivers were a total blur. Five minutes with a napkin diagram fixed that. And in a SEC-listed role, local statutory directors had never been briefed on liability gaps. The first duty of a CFO? Protect the board from unwitting breaches. Even in charity work, I learned the hard way—our finance lead said, “Matthew, you do realize...?” I didn’t. Rule of thumb: never assume understanding. Always probe, simplify, and protect. How do you make sure your directors truly grasp the numbers—and the risks?' #IBIConsulting #CFOInsights #FinanceLeadership #BoardGovernance
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Pete Turnbull shared this𝗬𝗼𝘂𝗿 𝗖𝗘𝗢 𝗷𝘂𝘀𝘁 𝗴𝗼𝘁 𝘀𝘄𝗮𝗽𝗽𝗲𝗱 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜 𝗮𝘃𝗮𝘁𝗮𝗿. 𝗢𝗿 𝗱𝗶𝗱 𝘁𝗵𝗲𝘆? This week, Klarna and Zoom unveiled something wild: AI-generated versions of their CEOs delivering earnings updates. A digital twin. Leading the call. Not a gimmick. A glimpse of what’s next. 🟦 𝗦𝗰𝗮𝗹𝗲, 𝗦𝗽𝗲𝗲𝗱, 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 ↳ AI avatars = always-on leadership comms. ↳ Multilingual, personalised, always-on? We’re nearly there. 🟥 𝗕𝘂𝘁 𝗮𝗿𝗲 𝘄𝗲 𝗹𝗼𝘀𝗶𝗻𝗴 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗿𝗲𝗮𝗹? ↳ Klarna’s avatar looked sharp, but felt off. ↳ Zoom switched to the real CEO for Q&A. ↳ Polished delivery, zero connection. Handing over that human spark? Risky. And in high-stakes moments such as earnings, layoffs, Day One comms, the lack of authenticity shows. It’s like replacing a handshake with a hologram. Functional, but forgettable. 📌 𝗠𝘆 𝗔𝗱𝘃𝗶𝗰𝗲 ↳ AI will scale our communication in new and exciting ways ↳ But people catch on fast. ↳ And trust? That can’t be faked. What happens when your leader’s face is just another algorithm?
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Pete Turnbull shared this𝗧𝗵𝗶𝘀 𝗜𝘀 𝗪𝗵𝗮𝘁 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗗𝗲𝗯𝘁 𝗟𝗼𝗼𝗸𝘀 𝗟𝗶𝗸𝗲 𝗼𝗻 𝘁𝗵𝗲 𝗕𝗮𝗹𝗮𝗻𝗰𝗲 𝗦𝗵𝗲𝗲𝘁. The deal closed. Everyone celebrated. Then your engineers uncovered GPL code inside the “proprietary” platform. Legal’s on edge. The roadmap’s on hold. And the value you modelled? Slipping away. Since 2020, open source usage has tripled. The average application now includes 16,000+ open source files. This isn't a "maybe" scenario. It’s a matter of when. 🟥 𝟯 𝗦𝗶𝗹𝗲𝗻𝘁 𝗞𝗶𝗹𝗹𝗲𝗿𝘀 𝗙𝗼𝗿 𝗜𝗻-𝗛𝗼𝘂𝘀𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 ↳ 𝗩𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗗𝗲𝗯𝘁 → That old library? It's an open backdoor. ↳ 𝗟𝗶𝗰𝗲𝗻𝘀𝗲 𝗥𝗶𝘀𝗸→ A missed GPL license exposes your codebase. ↳ 𝗣𝗿𝗼𝗽𝗿𝗶𝗲𝘁𝗮𝗿𝘆 𝗟𝗶𝗲𝘀 → Open source dependencies everywhere. 🟩 𝗬𝗼𝘂𝗿 𝗗𝘂𝗲 𝗗𝗶𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗪𝗲𝗮𝗽𝗼𝗻: 𝗦𝗖𝗔 Stop flying blind. Software Composition Analysis (SCA) is an MRI for code. It scans deep, finds hidden risks and flags vulnerabilities before they derail your acquisition. It can: 🔲 Scan in-house software for open-source components. 🔲 Identify vulnerabilities that haven't been addressed. 🔲 Flag licensing conflicts that could cause legal exposure. 🔲 Provide a detailed software bill of materials. 🔲 The true makeup of “proprietary” code 🟦 𝗡𝗲𝘅𝘁 𝘁𝗶𝗺𝗲 𝘆𝗼𝘂’𝗿𝗲 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝗮𝗻 𝗮𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻: ↳ Request a full SCA audit (Black Duck or similar) ↳ Map all GPL/AGPL licences - they can quietly kill your IP ↳ Flag all vulnerabilities above CVSS 7 - these are critical ↳ Pressure-test AI claims - look for real, defensible IP 📌 𝗠𝘆 𝗔𝗱𝘃𝗶𝗰𝗲: Open-source software isn’t just a technical footnote in M&A - it’s a strategic risk. You’re assessing: ↳ The architecture ↳ The dependencies ↳ The people and processes behind the in-house software What SCA tools do you use? –̶–̶–̶–̶ 𝘔&𝘈 𝘪𝘴 𝘯𝘦𝘷𝘦𝘳 𝘤𝘰𝘰𝘬𝘪𝘦-𝘤𝘶𝘵𝘵𝘦𝘳. 𝘐’𝘮 𝘰𝘯 𝘢 𝘮𝘪𝘴𝘴𝘪𝘰𝘯 𝘵𝘰 𝘴𝘩𝘢𝘳𝘦 𝘮𝘺 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘧𝘳𝘰𝘮 𝘮𝘶𝘭𝘵𝘪𝘱𝘭𝘦 𝘣𝘶𝘺 𝘢𝘯𝘥 𝘴𝘦𝘭𝘭-𝘴𝘪𝘥𝘦 𝘢𝘤𝘲𝘶𝘪𝘴𝘪𝘵𝘪𝘰𝘯𝘴, 𝘳𝘰𝘭𝘭-𝘶𝘱𝘴 𝘢𝘯𝘥 𝘤𝘢𝘳𝘷𝘦-𝘰𝘶𝘵𝘴 𝘵𝘰 𝘩𝘦𝘭𝘱 𝘐𝘛 𝘢𝘯𝘥 𝘊𝘺𝘣𝘦𝘳 𝘵𝘦𝘢𝘮𝘴 𝘭𝘦𝘢𝘥 𝘵𝘩𝘪𝘴 𝘤𝘰𝘮𝘱𝘭𝘦𝘹𝘪𝘵𝘺 𝘸𝘪𝘵𝘩 𝘤𝘰𝘯𝘧𝘪𝘥𝘦𝘯𝘤𝘦. Illustration By Alan Chen @ Sh8peshifters
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Pete Turnbull shared thisWe had a simple mantra on our team: “Create a culture we all want to work in.” It served us well, especially during high-pressure moments and onboarding new team members the right way.
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Pete Turnbull shared this𝗦𝘁𝗼𝗽 𝗧𝗲𝗹𝗹𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗧𝗲𝗮𝗺 𝘁𝗼 𝗨𝘀𝗲 𝗔𝗜. 𝗦𝗵𝗼𝘄 𝗧𝗵𝗲𝗺 You don’t spark adoption with a PowerPoint. You spark it by showing - not telling. Every week. Every project. Every prompt. Here’s how I made AI visible inside my teams 👇 🟦 𝗘𝘃𝗲𝗿𝘆 𝗙𝗿𝗶𝗱𝗮𝘆 - 𝗮 𝗧𝗚𝗜𝗙 + 𝗤&𝗔 𝘀𝗲𝘀𝘀𝗶𝗼𝗻. Open invite. No agenda. Just real talk and live demos. That’s where I showed how I was using AI: → 𝗣𝗲𝗿𝗽𝗹𝗲𝘅𝗶𝘁𝘆: faster research, better sources. → 𝗠𝗶𝗱𝗷𝗼𝘂𝗿𝗻𝗲𝘆: visual metaphors for presenting complex ideas. → 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁: internal FAQ bot, no code needed. → 𝗧𝗲𝗮𝗺𝘀 𝗣𝗿𝗲𝗺𝗶𝘂𝗺: auto-transcribed meetings + actions. → 𝗡𝗼𝘁𝗶𝗼𝗻 𝗔𝗜: summarised notes and design decisions. → 𝗣𝗿𝗼𝗺𝗽𝘁 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝟭𝟬𝟭: think step-by-step, clear context, clarifying questions. And for a great ice-breaker → the resumeroaster.app custom GPT. 🟨 𝗠𝗼𝗻𝘁𝗵𝗹𝘆 - a 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗗𝗮𝘆 A blend of culture, key result planning, peer showcases and skill-building. But here’s the shift: It wasn’t just 𝘮𝘦 showcasing AI anymore. People began sharing their own AI experiments: → Notion AI to generate test cases for projects. → Microsoft Copilot to “red-team” change plans. → ElevenLabs/HeyGen for learning content/messaging. → Coding agents to help test/optimise migration scripts. The culture shifted. We're not just using AI. We're building a culture of visible experimentation. From curiosity → to confidence → to capability. 📌 𝗠𝘆 𝗔𝗱𝘃𝗶𝗰𝗲 Want your team to embrace AI? Show them what’s possible. Out loud. And often.
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Pete Turnbull shared this𝗕𝘂𝗱𝗴𝗲𝘁 𝗦𝗲𝗮𝘀𝗼𝗻 𝗜𝘀 𝗛𝗲𝗿𝗲: 𝗖𝘆𝗯𝗲𝗿 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 - 𝗝𝘂𝘀𝘁𝗶𝗳𝘆, 𝗗𝗼𝗻’𝘁 𝗗𝗲𝗳𝗲𝗻𝗱 It’s that time of year again. Cyber budgets aren’t just cost centres - they’re targeted investments in resilience, digital trust and future readiness. But here’s the catch: Most cyber leaders usually know where the investment needs to go. What’s often missing is the ability to connect that investment to business impact - to tell a story that resonates with a CFO or CEO. As you shape your ROI story, don’t just explain the risk - show it. This isn’t about fear. It’s about forward-looking planning, targeted investment and financial fluency. Here are a few tools - beyond risk registers, heat maps or state-of-plays - that help bring the cyber story to life and build alignment with finance, risk and executive teams 👇 🟦 𝗩𝗶𝘀𝘂𝗮𝗹𝘀 𝘁𝗵𝗮𝘁 𝗵𝗶𝘁 𝗵𝗮𝗿𝗱 ↳ Microsoft Sign-In Logs → Your front door is under attack ↳ cybermap.kaspersky.com → Types of threat activity, live ↳ Microsoft Secure Score → Your posture vs. the industry 🟩 𝗣𝗿𝗼𝗼𝗳 𝗯𝗿𝗲𝗮𝗰𝗵𝗲𝘀 𝗮𝗿𝗲𝗻’𝘁 “𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝗲𝗹𝘀𝗲’𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺” ↳ ransomlook.io → Real-time ransom activities ↳ ransomwhe.re → Ransomware payment tracker ↳ haveibeenpwned.com → Your orgs credential exposure ↳ Info is Beautiful (https://lnkd.in/eTubkRmP) → 20 years of breaches, visualised 🟨 𝗢𝘂𝘁𝘀𝗶𝗱𝗲-𝗶𝗻 𝗿𝗲𝘃𝗶𝗲𝘄𝘀 ↳ bitsight.com → Like a credit score but for your cyber health ↳ stackup.tech → Fast, low-cost review of your technology foundations ↳ securityscorecard.com → Benchmark vs. peers, vendors and target acquisitions 📌 𝗠𝘆 𝗔𝗱𝘃𝗶𝗰𝗲: This isn’t about inflating budgets - it’s about aligning around what matters. Frame cyber like a CFO would: in terms of impact, investment and enablement. Cyber, finance and risk leaders must co-own the narrative. How do you make cyber risk real for those outside tech?
Pete Turnbull commented on a post
10mo
Having worked with Ryan across many projects - you will find a life time of experiences and insight in these books.
Pete Turnbull commented on a post
10mo
Spot on Phil. The missing piece I often see is accountability - everyone assumes someone else owns data quality (and in many cases IT is seen as the defacto owner). The projects that get it right treat cleansing as a funded, tracked workstream, not a side hustle.
Pete Turnbull commented on a post
11mo
Phil - I’ve seen this go both ways. It makes or breaks a program.
That backfill talk needs to happen in Phase 0, before anything starts. It protects the outcome and your people.
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Pete Turnbull reacted on thisGrateful for the opportunity to join the Board of Football NSW. Looking forward to contributing, helping shape the future of football across New South Wales, and giving back to a sport that has such a positive impact on our communities. Excited for what’s ahead ⚽️Pete Turnbull reacted on thisFootball NSW is pleased to announce the appointment of Kristina Travers as a member of the Football NSW Board, bringing extensive leadership, governance and transformation experience to the organisation. Read More below.Kristina Travers Appointed To Football NSW Board - Football NSWKristina Travers Appointed To Football NSW Board - Football NSW
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Pete Turnbull reacted on thisPete Turnbull reacted on thisIn my previous article, The Quality of Thought, I explored how the value of an idea is not determined solely by its content, but by how effectively it is communicated. A well-crafted deliverable has the power to influence decisions. A poorly structured one can diminish even the strongest thinking. That reflection led me to another question. How do we know whether all of the work we are doing is actually making the organisation better? This article explores what I believe is one of the most subtle challenges facing modern enterprises: The Illusion of Progress. Today's organisations have become exceptionally good at generating activity. Projects are delivered. Strategies are refreshed. Technology is implemented. Transformation programs continue to grow. Yet activity is not the same as progress, and movement is not the same as improvement. Perhaps one of the most important questions every leadership team should ask is not, "Are we delivering?" but rather, "Are we genuinely changing the trajectory of the organisation?" The distinction is profound. It shifts the conversation from outputs to outcomes, from project success to capability improvement, and from measuring motion to measuring meaningful organisational progress. If your organisation is looking to ensure that its investments create lasting enterprise value, not simply more activity, please reach out to us at Chrysalis Global. We enjoy helping organisations translate strategy into measurable capability, meaningful outcomes, and sustainable progress.
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Pete Turnbull liked thisPete Turnbull liked thisPower Apps Code Apps + SharePoint Embedded = real-time collaborative apps. I stitched these two ecosystems together to see how far they can go for real-time, multi-user collaborative experiences - without deploying custom infrastructure. So I experimented with three progressively more ambitious apps: - Collaborative whiteboard with live cursors - Incident response workspace with shared state - Multiplayer DOOM running through Fluid Presence 🎮 The DOOM demo was the stress test, not the point. The real insight was how naturally the architecture came together: Code Apps gives you full React/TypeScript control SharePoint Embedded gives you Fluid Framework - SharedTree for persistent state - Presence for realtime signals Together, you get authenticated realtime collaboration built directly into the platform. No custom WebSocket servers. No realtime message broker to maintain. Auth is M365-native, though the token plumbing still took some wiring. The most surprising part was how composable the pattern became. The hardest part, honestly, was CSP configuration. 😅 Here's a quick teaser of all three in action. Sharing the source repo of these apps and architecture guide in the comments for anyone interested in experimenting with collaborative experiences on this stack. Link in the comments 👇 What would you build if realtime collaboration was simply... included? #PowerApps #CodeApps #SharePointEmbedded #FluidFramework #RealTimeCollaboration
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Pete Turnbull liked thisPete Turnbull liked thisHow one of the top creators of Claude Code actually uses Claude every day. Boris Cherny (Creator of Claude Code) has turned Claude into a full-blown engineering superpower. Here’s exactly how he does it: 1️⃣ Runs 5 Claude sessions in parallel Five windows open at once. A custom “Stop hook” pings him the moment one needs his input. 2️⃣ Works seamlessly across devices Starts on desktop (claude.ai/code), continues on the iOS app without losing context. 3️⃣ Always picks Opus + Thinking mode Slower per turn, but fewer retries and faster overall output. 4️⃣ One shared CLAUDE.md file The entire team maintains a single rules file in the repo. Every mistake = new rule added. 5️⃣ Tags @claude in pull requests Claude reviews PRs and automatically updates CLAUDE.md based on feedback. 6️⃣ Plan Mode before execution Shift + Tab twice → Claude plans first. Only then does he let it ship. 7️⃣ Slash commands for repetitive tasks Every repeat workflow becomes a slash command. One command now handles the full Git flow: commit → push → PR. 8️⃣ Sub-agents for parallel jobs Spawns specialized sub-agents (code simplifier, verify-app, etc.). 9️⃣ –dangerously-skip-permissions Runs Claude in a sandboxed environment so permission prompts never break the flow. 🔥 Most important tip from Boris: “Give Claude a feedback loop to verify its own work. It 2-3x’s the output quality.” 10️⃣ Plugs directly into team tools Sends Slack messages, pulls company data, checks error reports, same tools the human team uses. This isn’t just “using AI.” This is building an entire AI-powered engineering system.
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Pete Turnbull reacted on thisPete Turnbull reacted on thisI’m pleased to share that I’ve completed the Kellogg Executive Education | AI Strategies for Business Transformation program. It was challenging, energising, and deeply rewarding. The course genuinely changed how I think about and apply AI in my work. The faculty’s perspectives and practical frameworks helped me fundamentally rethink where AI creates value and, critically, how to turn ideas into outcomes. The strong focus on Responsible AI was valuable— governance, human-in-the-loop design, risk appetite, and the controls that build trust. Huge thanks to PwC Australia for sponsoring this learning opportunity, and to colleagues who supported me along the eight week journey.
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Pete Turnbull liked thisPete Turnbull liked this𝗪𝗵𝗮𝘁 “𝗩𝗮𝗹𝘂𝗲” 𝗶𝘀 𝗔𝗜 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗼 𝗽𝗿𝗼𝘃𝗲 𝗶𝘁? In my last post I promised to unpack my AI Adoption framework. Let's start with the hardest one: VALUE. Not "productivity" or "efficiency." Actual, measurable business value. This summarizes the steps I took at ALM, the result proved that it works: taking the company through a successful PE exit, 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗶𝗻𝗴 revenue significantly, 𝗿𝗲𝗱𝘂𝗰𝗶𝗻𝗴 cost meaningfully, and 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 the user base. Here's what I learned about categorizing and capturing AI value. 𝗧𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝘁𝗵𝗿𝗲𝗲 𝘁𝘆𝗽𝗲𝘀 𝗼𝗳 𝗔𝗜 𝗩𝗮𝗹𝘂𝗲𝘀: 🔶 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲 𝗩𝗮𝗹𝘂𝗲 made our teams faster, more efficient. We saw wins here, automated workflows, smarter tools. But here's the reality: 𝗧𝗶𝗺𝗲 𝗦𝗮𝘃𝗲𝗱 𝗶𝘀 𝗡𝗢𝗧 𝗠𝗼𝗻𝗲𝘆 𝗘𝗮𝗿𝗻𝗲𝗱. At best, you're optimizing expenses, not creating new revenue. 🔶 𝗖𝗹𝗲𝗮𝗿 𝗥𝗢𝗜 embedded intelligence into our core products and processes. This is where we saw measurable returns. Real dollars we could track from investment to outcome. 🔶 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗩𝗮𝗹𝘂𝗲 created new products and business models. Highest risk, highest reward. For us, this meant AI-driven intelligence products that became new revenue streams, not just incremental improvements. The turning point came when I stopped reporting "30% faster ticket resolution" and started showing "$20M added through AI-driven products." Same technology. But one gets you a pat on the back. The other gets you a seat at the strategy table. 𝗠𝗼𝘃𝗲 𝘁𝗵𝗲 𝗻𝗲𝗲𝗱𝗹𝗲: Focus 80% of your AI investment on ROI and Strategic Value. That's where AI connects directly to revenue, product differentiation, and financial outcomes that boards actually care about. Employee value is extremely important, but a singular focus on it can be a long, winding road to proving overall business impact. In fact, focusing on ROI and strategic value creates quick wins and measurable success that speed up employee adoption significantly. In my next post, I'll share some practical templates/tools we used, from board-level visuals to prioritization framework. Follow me and stay tuned. What's been your biggest challenge in measuring AI value? Cost savings or revenue generation? #AIStrategy #DigitalTransformation #TechLeadership #AIAdoption
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Pete Turnbull reacted on thisPete Turnbull reacted on thisIF YOUR PROMPT LOOKS LIKE A SPEC, YOU DON’T NEED A BETTER PROMPT. YOU NEED A SYSTEM. I’ve just published: “Against Prompt Engineering — Why a Model and a Prompt Are Not a System.” ⚠️ The punchline Long prompts (or a “configuration of agents”) won’t give you governance, auditability, or reliability. Systems do. 🧰 What’s inside (5‑minute read) • Why prompt‑only setups are brittle and model‑dependent • Why chaining agents still isn’t a system without architecture and controls • A practical shift: Prompot Engineering → System Engineering • Where LLM agents add flexibility and where traditional software must surround and safeguard them • How to build for safety, scale, and accountability from day one 🧭 Who it’s for Leaders, architects, and teams being asked to “ship an agent” in weeks and anyone trying to turn AI from clever demos into dependable systems. I’m seeing organisations rush into agentic AI without the engineering foundations to support it. This article is my early view and an open invitation to raise the bar together. 👉 What’s the biggest mistake you’re seeing in the rush toward agentic AI and how are you addressing it? #AI #SoftwareEngineering #LLM #AgenticAI #Architecture #AIGovernance #TechLeadershipAgainst Prompt Engineering: Why Models + Prompts Don’t Make SystemsAgainst Prompt Engineering: Why Models + Prompts Don’t Make Systems
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Mitchell Filby
Enterprise to Small Businesses will continue to invest in their IT infrastructure, software and Services if they are to maintain their market relevance. Australian IT spending is on track to exceed A$192.2 billion in 2027, an 8.7% increase on 2026. Infrastructure as a service will be the fastest-growing category, rising 22.1% to A$9.1 billion in 2027, driven largely by AI-optimised IaaS. Software will remain the largest IT spending category, expected to exceed A$68 billion in 2027 as generative AI and agentic AI capabilities are added to cloud platforms. https://lnkd.in/gvSErH_v
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Paul James
QuanticoAustralia | Operational Command for Enterprise Leaders When organisations scale, complexity accelerates. The question is whether your systems scale with it. Most executive teams don’t fail from lack of effort — they fail from fragmented processes, inconsistent reporting, and operational blind spots that quietly erode performance. QuanticoAustralia helps leaders regain Operational Command across three critical domains: • Risk & Governance — Executive grade reporting and compliance alignment • Process Optimisation — Standardised workflows and scalable performance • Enterprise Connectivity — Unified communication and real time decision making The result? Clarity. Control. Confidence. That’s Operational Command — and it’s how enterprise leaders stay ahead. For deeper insight into this pivotal issue — and to understand how QuanticoAustralia strengthens governance, operational assurance, and cross site performance — reach out to me, Paul James, QX GM, on 0412 192 257 for a conversation, supporting material, or executive briefings. You can also email paul@quanticoaustralia.com. #compliance #governance #operationalexcellence #riskmanagement #auditready #safealign #executiveleadership #enterprisetransformation #WHS #regulatorycompliance #assurance #operationsmanagement
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