Nobody Told Me About IT

Tad Doyle and Nabil Gharbieh
  • 5.0 (1)
  • Technology
  • Updated Weekly

Nobody Told Me About IT is a weekly podcast. Hosts Tad Doyle and Nabil Gharbieh have frank, practical conversations about IT strategy, cybersecurity, budgeting, and technology leadership — for the business leaders who need to understand these topics but weren't trained for them. No jargon. No vendor pitch. Just the IT conversations your organization needs to be having. New episodes every Monday.

Episodes

  1. Jul 16

    How To Attend A Conference Like A Boss

    Most organizations send one person to a conference and get back a handful of notes. Tad Doyle came back from InfoTech Live 2026 with a 30-page searchable knowledge base the entire team can query. In this episode, Tad walks through the workflow: recording sessions with the Plaud Note Pro recorder, syncing transcripts to the cloud, pairing notes with slide decks, and feeding everything into Claude's Opus model to generate a structured report. The result is a team resource where anyone can ask a specific question about the conference and get a sourced answer traceable back to a specific transcript or presentation. The tools are secondary. Otter, Granola, a legal pad — any of it works. The strategy is what changes the outcome. Pro tip from the episode: review and tag your notes at the end of each conference day. A week later, you won't remember who said what. Tools mentioned: Plaud Note Pro, Otter.ai, Granola, Claude (Anthropic Opus model). Links in the show notes.

  2. Jun 30

    EP011 | Pulling the Plug: AI Dependencies You Didn't Know You Had

    What happens to your business if an AI tool you depend on disappears tomorrow? On June 12, two Anthropic models, Mythos and Fable, went dark under an export control directive. By some reporting, the warning window was about ninety minutes. Tad Doyle and Nabil Gharbieh use the moment to surface the AI dependencies most mid-market companies have not mapped, and what to do about them. This episode opens with a clip from Fareed Zakaria's GPS, then unpacks the fallout. When access to a tool can be cut overnight, trust in any single provider takes a hit, and people route around the gap. That is shadow AI, and it is a governance problem, not a personality flaw. Cut people off and they bring their own tools, which may include a model run by a company you would never have chosen. The dependency problem runs at every scale. Allied governments and companies are already favoring EU-based infrastructure over US cloud, because they cannot plan around arbitrary cutoffs. Operational systems that ran for years can stop with little notice. That is real risk for any organization that depends on a single provider, whether you are a national government or a fifty-person company. Then the hype-versus-real check. The headline that an AI penetrated nearly all classified government systems in hours is real, but the context got buried. It happened inside a controlled red team. Finding flaws is the point of red teaming. A kid at home on a chatbot is not breaching the NSA. Separating the scare from the signal is the whole job. So what should a small or mid-sized company actually do? Nabil keeps it to three moves. One approved tool to start, often Copilot if you live in Microsoft 365. A no-copy-paste rule that spells out what can and cannot go into AI, including which files are off limits. And one human owner, because most AI policies fail on ownership, not on wording. Push the policy out, train on it, and evolve from there. To plan for the uncertainty, answer three questions. What stops working tomorrow if the plug gets pulled today? Is there a second tool that can hot swap, or get you eighty percent of the way back? Can you run a week without it? Register the answers, and you are in a far safer place than most. Chapters 0:00  The story that got buried 0:41  The clip: ninety minutes to comply 1:28  What happened: the Mythos and Fable shutdown 3:20  Fareed's fix: a Federal Reserve for AI 4:00  Pull the plug, get shadow AI 5:35  Why some governments are moving off US cloud 6:53  Hype versus real: it was red teaming 7:45  Three steps to govern AI at a small company 9:15  The no-copy-paste rule, explained 10:38  Three questions to plan for the future 11:36  Closing thoughts Hosts: Tad Doyle and Nabil Gharbieh, Strategic Advisors with 25-plus years in IT strategy, infrastructure, and advisory services. Links Fareed Zakaria, GPS segment: https://www.youtube.com/watch?v=t7N7eZ68yFg Latest update after we posted the show: https://www.linkedin.com/pulse/anthropic-granted-approval-release-claude-mythos-i0ebe/ Disclaimer: The views shared here are personal opinions, not professional advice, and do not represent the position of our employers.

  3. Jun 22

    EP010 • Info-Tech Live 2026: Conference Recap

    A good CIO does two things at once: cuts through the AI hype and puts a number on the value. Tad Doyle and Nabil Gharbieh close out their Info-Tech Live 2026 recap from Las Vegas with the leadership side of the job. The theme this time is the CIO, and what separates a good one. Cut through the hype. Almost every AI headline is built to provoke, for or against. The CIO’s job is to filter that noise and define real value for the business. Manage in 360 degrees. Good leaders manage down to their team, across to peers and other departments, and up to the executives they report to. The work is building relationships in all three directions, not just running projects. Give the CFO a number. Finance does not want a feature list. They want a figure. If a Copilot seat runs around thirty to thirty-five dollars a month, what does the business get back? Putting a credible number on value is what gets the budget approved. Turn AI off and watch what happens. One client wanted to stop AI use. The result is predictable: people find their own tools, and you lose governance and control over your data. Shadow AI is worse than managed AI. The retention risk nobody budgets for. Surveys show people increasingly want to work for employers that use modern tools. Shut that down and you risk losing talent, then pay again in hiring and training. CIOs get sharper around other CIOs. Info-Tech Live put thousands of IT leaders in one place. Most CIOs compare notes with peers once a year. Working alongside other CIOs every day is where the growth happens. Key takeaway: a good CIO cuts through the hype and puts a number on the value. Do both, and you stop being a cost center and start being transformative. Nobody Told Me About IT is hosted by Tad Doyle and Nabil Gharbieh, two strategic advisors with 25-plus years in IT strategy and infrastructure. The IT strategy conversations your organization needs to be having. New episodes every Monday. Watch on YouTube: youtube.com/@NobodyToldMeAboutIT Listen on Spotify and Apple Podcasts: search Nobody Told Me About IT Follow on LinkedIn: linkedin.com/company/nobody-told-me-about-it More at nobodytoldmeaboutit.com #CIO #ITLeadership #ITStrategy #AIgovernance #ShadowAI #AIvalue #MidMarketIT #DigitalTransformation

  4. Jun 22

    EP009 • Info-Tech Live 2026: Day 2 Recap

    Almost everything you read about AI right now is clickbait. Tad Doyle and Nabil Gharbieh recorded this episode live from Info-Tech Live 2026 in Las Vegas, between sessions, to cut through the noise and talk about what actually mattered on the show floor. This is Part 1 of a two-part recap. Four things came up that every IT leader should be thinking about. First, the hype problem. Pro-AI, anti-AI, or somewhere in the middle, most of what gets published is written for clicks. The real work is filtering that noise so a business gets honest answers. Second, quantum computing and your encryption. A quantum machine at scale could break the encryption protecting your data today, and attackers are already harvesting encrypted data to decrypt later once the hardware catches up. NIST has finalized post-quantum encryption standards (FIPS 203, 204, and 205). If you are running older protocols, now is the time to start planning a migration. Third, token cost. Enterprise AI licenses look great in week one. By week two, a few heavy users can burn through the budget and force a hard cap. Watch your contracts, set limits, and know your burn rate before the bill arrives. Fourth, systems thinking. Linear thinking means playing whack-a-mole with outages and failures. Systems thinking means looking at how your people, data, and infrastructure interact, then building for the whole picture. Key takeaway: the job isn’t to be pro-AI or anti-AI. It’s to filter the noise so your organization gets real answers. Nobody Told Me About IT is hosted by Tad Doyle and Nabil Gharbieh, two strategic advisors with 25-plus years in IT strategy and infrastructure. The IT strategy conversations your organization needs to be having. New episodes every Monday. Watch on YouTube: youtube.com/@NobodyToldMeAboutIT Listen on Spotify and Apple Podcasts: search Nobody Told Me About IT Follow on LinkedIn: linkedin.com/company/nobody-told-me-about-it More at nobodytoldmeaboutit.com #ITStrategy #ITLeadership #QuantumComputing #PostQuantum #AIgovernance #CIO #MidMarketIT #TokenCost #SystemsThinking

  5. Jun 15

    EP008 | Info-Tech LIVE Day 2: What a Fractional CIO Actually Does

    Recorded live at Info-Tech LIVE 2026 in Las Vegas, Tad Doyle and Nabil Gharbieh pull back the curtain on the fractional CIO role — what it actually is, who needs it, and why so many mid-market organizations are running without IT strategy leadership they can't afford to be without. The conversation covers: The difference between managing technology and owning IT strategy Why a fractional or virtual CIO makes sense for SMBs and mid-market orgs that can't justify a full-time hire How the vCIO role cuts across every department, from finance to marketing to operations Concrete ways a vCIO saves money: vendor rationalization, software audits, shadow IT cleanup, and budget alignment What involvement in the annual IT budget process actually looks like The Covid case study: how IT strategy leadership moved companies remote in a week without buying a single new tool Nobody Told Me About IT is a weekly video podcast hosted by Tad Doyle and Nabil Gharbieh, two fractional CIOs and strategic IT advisors with 25+ years of combined experience. Each episode cuts through the hype and gets into the IT strategy conversations mid-market organizations need to be having. Find us on YouTube, LinkedIn, and everywhere you listen to podcasts. Contact: nobodytoldmeaboutit@gmail.com

  6. Jun 15

    Live from Info-Tech Live 2026 in Las Vegas 1 of 4

    Live from InfoTech Live in Las Vegas, Tad Doyle and Nabil Gharbieh bring you a field episode straight from the conference floor. The CIO role is one of the most talked-about positions at this conference, and for good reason. The job has fundamentally changed. Two years ago, CIOs were managing infrastructure. Today, they are the only executives in the building having conversations with every department, every function, every stakeholder. That cross-functional visibility makes the CIO seat a natural launchpad into CEO and COO territory, and the best leaders here are starting to recognize that. But the opportunity comes with a prerequisite: data governance. Before any organization puts AI to work, they need to know what data they have, where it lives, who has access to it, and what shape it is in. Throwing AI on top of dirty data does not just produce bad outputs. It creates real security exposure. In this episode, Nabil and Tad break down why data governance, data loss prevention, and data optimization have to come first, every time. They also tackle one of the most common failure modes they see in client organizations: the binary CIO. The CIO who says no to everything blocks adoption and pushes employees toward shadow AI, which is worse. The CIO who says yes to everything creates a Wild West with no governance and real risk. The answer is a middle path, and they explain how to find it. Finally, they address the question every conference attendee is asking: is AI going to take my job? Info-Tech's position is clear. In the next two years, AI augments positions. It does not replace them. The organizations getting this right are not reducing headcount. They are repurposing people, freeing up capacity for higher-value work, and building institutional knowledge that AI cannot replicate. Episode recorded live at InfoTech Live, Las Vegas. Transcript available on YouTube. Nobody Told Me About IT is hosted by Tad Doyle and Nabil Gharbieh, two fractional CIOs and Strategic Advisors with 25-plus years of combined experience in IT strategy, infrastructure, and advisory services. New episodes every Monday.

  7. Jun 2

    Value-Based Billing

    Value-Based Billing Why the hourly model is billing's version of micromanagement Episode EP006 Publish Date June 2, 2026 Host Nabil Gharbieh Runtime ~2 minutes Format Solo short Topic Value-based billing vs. hourly billing; measuring outcomes, not hours If a consultant solves your ransomware problem in two hours, you don't calculate the hourly rate. You calculate what a breach would have cost you. That's the core of value-based billing — and it applies the same way to AI in your organization. If AI saves your employees eight hours a week, you didn't lose time. You freed it up for strategy, growth, and the work that actually moves the business forward. In this short, Nabil Gharbieh breaks down why the hourly model is billing's version of micromanagement: it rewards delay, punishes efficiency, and misses the point entirely. The right question isn't 'how much per hour?' It's 'what did it prevent, enable, or save?' One important note: letting your team use AI responsibly means doing it with governance — policies, frameworks, and a plan. Not just downloading whatever app looks useful. Nobody Told Me About IT is a podcast for business leaders who make technology decisions without deep technical backgrounds. New episodes every Monday. Subscribe for weekly IT strategy conversations that skip the hype and get to what matters. TIMESTAMPS 0:07 The hourly model problem — why billing by time rewards the wrong behavior 0:40 The $10,000 project example — you're paying for expertise, not time on the clock 1:10 AI and the 8-hours-a-week argument — freed time is an asset, not a loss 1:35 The governance caveat — 2026 AI adoption requires policies, not just permission 1:50 About Nobody Told Me About IT — and a quick ask to share, like, and engage #NobodyToldMeAboutIT #ValueBasedBilling #ITStrategy #AI #ConsultingTips #BusinessLeadership #CIO #TechStrategy

  8. May 25

    10 AI Trends Business Leaders Need to Know Right Now

    Nobody Told Me About IT — EP005: Tad Doyle & Nabil Gharbieh 0:05 — THE HOOK Round-robin: ten trending AI topics, the honest read on each, what to do. No panic. No hype. 0:51 — TREND 1: THE EXPLORER TRAP 51% of small business owners are AI explorers. Only 8% have advanced adoption. Two years of exploration without commitment is diffusion. Pick one workflow, commit for a quarter, measure it. 1:37 — TREND 2: AGENTS ARE REAL, NOT MAGIC MIT Sloan: agentic AI hits Gartner's trough of disillusionment in 2026. Gartner: 40% of agent projects canceled by end of 2027. Agents hallucinate, need humans in the loop, and are hard to govern. Specific tasks, specific guardrails. Fully autonomous is a red flag. 2:35 — TREND 3: THE SKILLS GAP IS REAL 63% of employers cite skills as the primary AI barrier. 20% of small businesses feel confident adopting AI, vs. 82% of mid-sized firms. Only 12% of small businesses invest in training, despite 29% citing it as the biggest obstacle. Zero training budget means you have a software budget. 3:21 — TREND 4: THE WORKFORCE ISN'T ONE BLOCK 31% of employees push back on AI strategy. 45% worry too much AI will hurt the company's reputation. 30% of SMB workers use AI daily. Ask your team three things: what excites you, what worries you, what's missing. 4:05 — TREND 5: THE .COM ANALOGY IS INCOMPLETE MIT Sloan compares the AI moment to .com: sky-high valuations, growth over profits. Real businesses are also seeing real ROI. Both true. Some tools won't exist in three years. Don't bet on one vendor. Add a vendor audit annually. 4:46 — TREND 6: GOVERNANCE SEPARATES LEADERS FROM THE REST 68% of high-ROI AI organizations have mature governance. Among lower performers, 32%. 56% of CEOs are delaying major AI investments due to governance uncertainty. If you can't answer "Who owns AI here?" fix that first. Name the owner this week. 5:24 — TREND 7: TOP-DOWN PICKS OUTCOMES PwC: crowdsourcing AI from departments rarely produces meaningful outcomes. Senior leadership picks two or three strategic workflows and commits resources. Bottom-up gets adoption. Top-down gets outcomes. 6:01 — TREND 8: DATA IS THE REAL BOTTLENECK SAP and Snowflake advisors agree: data is the bottleneck to trusted AI. Healthcare charts average 46,000 words. Most business knowledge is scattered, duplicated, contradictory. Top adopters fix data first. Identify the one data set that, if cleaned, would unlock the most value. Beats three new tools. 6:45 — TREND 9: THE CATCH-UP IS REAL SBA: small businesses closing the AI gap with large enterprises faster than in previous cycles. Within SMB, the spread between adopters and non-adopters is widening. 96% plan to adopt, 8% have advanced adoption. Benchmark against your five closest competitors, not Microsoft. 7:30 — TREND 10: MARKET TIMING Microsoft Q1 2026: AI usage growing 1.5 points per quarter globally. US at 17.8%. UAE at 70.1%. Gartner: 40% of enterprises will use task-specific AI agents by end of 2026, up from under 5% in 2025. You're not late. You're not early. You're right on time. KEY TAKEAWAY "Every trend has an opportunity and a real friction. AI in 2026 isn't a crisis and isn't a paradise. It rewards leaders who hold both, the upside and the work." LINKS AND RESOURCES McKinsey — The State of AI: shadow AI and personal-account usage. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai Microsoft + LinkedIn — Work Trend Index: BYO-AI and talent migration. https://www.microsoft.com/en-us/worklab/work-trend-index Gartner — AI governance and shadow AI risk. https://www.gartner.com/en/information-technology/insights/artificial-intelligence IBM IBV — CEO Decision-Making in the Age of AI: 56% delaying due to governance. https://www.ibm.com/thought-leadership/institute-business-value All episodes — https://nobodytoldmeaboutit.com

  9. May 19

    Finding Your Company's AI Middle Path

    Nobody Told Me About IT — EP004: Finding Your Middle Path in AI Hosts: Tad Doyle & Nabil Gharbieh  ·  Published: May 19, 2026  ·  Runtime: 8:02 0:05 — THE TWO EXTREMES Most AI conversations inside organizations are happening at one of two poles: total lockdown or no governance at all. Tad and Nabil open by naming the tension directly — and then spend the episode inhabiting each extreme as composite client characters, asking each other the questions advisors actually ask. “The fear is legitimate. You’ve got data leakage, you’ve got IP exposure, you’ve got compliance exposure. The response is an actual risk that can be a lot worse.” — Nabil Gharbieh 1:26 — THE LOCKDOWN CLIENT Tad plays a composite mid-market CEO who blocked ChatGPT, Copilot, and Claude at the firewall and told staff that AI use is grounds for termination. Nabil asks three questions: What happens when employees still need to get work done? What does this do to competitive position? And was the fear actually justified? The answers: shadow AI moves in immediately, competitors move faster, junior staff start leaving, and the lockdown just pushed the risk somewhere no one could see it. “You’re gonna get shadow AI. You’re gonna get people who use their personal cell phones, their personal accounts, their personal emails to forward to themselves — and now they’re going to work off their personal laptops. So you’ll have zero visibility, zero control.” — Nabil Gharbieh 3:00 — THE WILD WEST CLIENT Nabil plays a composite 75-person CEO who told staff to “just figure it out.” Everyone expenses their own tools with no contracts, no data protection agreements, no inventory. Tad asks three questions: Who owns the data those tools are seeing? What happens when a tool has a breach or shuts down? And what do you tell the board when they ask for the AI strategy? The answers: nobody knows, business continuity is a gap nobody has planned for, and “we’re embracing AI” is not a strategy. “There’s a lot of activity. There’s absolutely no strategy. There’s no value assessments. There’s no risk assessments. It’s just kind of ‘we’re embracing AI.’ There’s no strategy with this.” — Nabil Gharbieh 5:21 — THE MIDDLE PATH The hosts flip from adversarial to collaborative. Nabil’s two moves for the lockdown client: replace the ban with a one-page acceptable use policy and publish an approved tool list. Tad’s two moves for the all-in client: do a visibility inventory via Slack or email (no judgment), and define three data categories that can never go into an AI tool — customer PII, financial data, contracts. KEY TAKEAWAY “Neither extreme works. The conversation your organization needs to be having isn’t ‘Should we use AI?’ It’s ‘Where on the spectrum are we right now, and what’s our next move toward the middle?’”  — Tad Doyle LINKS AND RESOURCES Microsoft Copilot — https://www.microsoft.com/microsoft-365/copilot/microsoft-365-copilot ChatGPT Team — https://openai.com/chatgpt/team Claude for Work — https://www.anthropic.com/claude/work All episodes — https://nobodytoldmeaboutit.com

  10. May 12

    NotebookLM: Learning on Steroids

    Nabil Gharbieh has a certification problem, the same one most IT leaders have. Every year there is a new credential, a new framework, a new exam. In this episode he walks through the tool he uses to cut through that burden, NotebookLM, and shows exactly how he gets from zero knowledge to exam-confident without burning weekends. 0:00 Introduction and the certification treadmillNabil opens with a concrete result: when he took the ISO 42001 exam, it was the first time he felt genuinely confident going in rather than hoping for the best. 0:25 What NotebookLM isNotebookLM is a Google product that lets you upload your own sources, PDFs, URLs, videos, notes, and then interact with an AI constrained to only that material. Three panels: sources on the left, chat in the middle, Studio tools on the right. He is using the paid version, which offers more Studio options than the free tier. 1:10 Loading sources and setting scopeNabil demonstrates with ICS-100, incident command training for his volunteer fire station. He loads four course documents plus his own handwritten notes. The key design choice: by uploading only exam-relevant material, he constrains the AI to a closed knowledge set. 2:15 Why prompting changes everythingNabil writes a custom prompt for each output, for example: "I am taking the ICS-100 exam. Help me understand the knowledge in a way that you are certain I will be 90% ready to pass." He also uses AI to sharpen those prompts before pasting them in. 3:30 Audio overviewsThe audio overview feature converts source material into a two-host podcast format. Nabil generates these and listens while walking his dog. The paid tier adds an interactive mode where he can interrupt the AI conversation to ask a follow-up question. 4:53 How to sequence the toolsStart with a video course or lecture first for foundational orientation. Then bring the material into NotebookLM for the real learning work. Starting with NotebookLM before any foundational exposure produces weaker retention. 5:16 Mind mapsThe mind map gives an expandable visual of the entire subject area. After two minutes on the ICS-100 map, Tad, who had no prior exposure to incident command, could already describe the basic structure."I bet you, if you look at this long enough, you'll be able to break it down for me, and you came into this conversation not knowing what incident command was." 6:15 Flashcards and quizzesFlashcards include a green check (I know this) and a red X (ask me again) mechanic. For quizzes, Nabil always starts on medium difficulty, then creates a harder quiz once he feels ready. When he gets a question wrong, he clicks "explain" and the chat panel shows exactly which source the answer came from. 7:14 Data tables and infographicsThe data table organizes material by topic, objectives, best practices, and source document. The infographic generates a visual summary. For visual learners, this format alone can do significant conceptual work. 9:06 Regenerating outputsEvery Studio output can be deleted and regenerated with a new prompt. On the free tier, regenerations are limited to roughly three per item per day. On paid, no cap. 9:45 Sharing notebooksNotebooks can be shared directly. After Nabil passed the ISO 42001 exam, he shared his notebook with Tad so all the source loading, prompting, and output generation was already done. Key takeaway"This was the first time I ever took an exam that I felt like I actually knew the content really well. I didn't feel nervous. I just felt really confident. And it was this tool that I used." Links and resources Show notes for this episode: https://www.google.com/url?q=https://docs.google.com/document/d/1WEmp02WuFsaxJ3wzDP4uLfiqNNLvAKEwmwn9FQfVXzY/edit?usp%3Dsharing&sa=D&source=editors&ust=1778560746111589&usg=AOvVaw02nkHPG4bm9KlP22dBgqOS Google One 4-Month Free Trial: https://one.google.com/referral/redeem/R43DP4K4?g1_landing_page=5 Nobody Told Me About IT: https://nobodytoldmeaboutit.com

  11. May 5

    AI for Deep Research: How We Actually Use It

    Most mid-market organizations have AI in use, whether approved, shadow, or embedded in vendor tools. Almost none have a governance framework for it. In Episode 02, co-host Nabil Gharbieh and Tad Doyle demonstrate live, on screen, how an experienced IT advisor actually uses Claude to research AI governance platforms. This is a structured methodology, not a product endorsement. Tad opens with a real-world scenario: a mid-market financial services organization has approved AI use but has no governance framework. Employees are using Copilot, Claude, ChatGPT, and other tools across platforms the organization has never reviewed. In regulated industries. The research question: what platforms exist to help solve this? Before the demonstration begins, Tad shares a practical tip: ask the model which version to use. Claude will tell you that Opus is overkill for most research tasks. Using the right model saves tokens and cost. Claude returns a structured framework covering research approach, timeline, tool categories, and evaluation criteria. Tad's first move is a deliberate sanity check, scrolling through the output to confirm it aligns with what he knows about NIST frameworks before going further. The second prompt adds real context: the organization runs Microsoft 365, uses Copilot as its primary AI tool, and carries SEC and FINRA obligations. Under 500 employees. Shadow IT is a known concern. Nabil surfaces a real concern. Claude has a tendency to validate rather than challenge, using phrases like "perfect" and "great research" regularly. Tad's answer: maintain your own skepticism. Ask the model what it might have missed, or how you could phrase the question better. The positivity in the interface is not the same as accuracy. The resulting report runs 18 pages after Tad requests a completeness check. It includes an executive summary, tool categories mapped to governance needs, a quick reference guide with vendor pricing, maturity assessments, detailed vendor profiles with advantages and risks, a scored comparison, and a summary recommendation with two platforms for Phase 1 evaluation. One honest caveat on pricing: enterprise software pricing from AI research is rough. Most platforms are quote-based. The research narrows the field. A real pricing conversation follows separately. The report surfaces established platforms like Microsoft Purview alongside less familiar names. Tad's approach: the presence of independently validated platforms on the same list gives you confidence Claude is comparing real tools. For the unknowns, due diligence follows, including account rep conversations and Gartner or Forrester reports. Those reports can be uploaded back into Claude to refine the document further, with citations. Nabil's closing question: you went from zero knowledge to a vendor list. You wouldn't actually recommend based on this alone? Tad's answer: correct. The output is a starting map, not a destination. When presenting to clients, he is explicit about his qualifications and reservations, especially on pricing, and brings domain knowledge to reality-check the recommendations. The third prompt stress-tests the output: which platforms are mature and field-proven at mid-market scale? Which are overhyped or early-stage? What concerns would you have about recommending each? The result confirms which platforms are well-regarded and flags the less-proven tools for additional review before moving forward. "AI doesn't replace the advisor. It makes the advisor faster, more efficient, and more productive. The value isn't in the tool. It's in knowing what questions to ask, and knowing how to evaluate what comes back." Chapters 2:10 The Starting Point 3:32 Reading the Output 6:25 How Do You Know It's Not Just Telling You What You Want to Hear? 7:13 Walking Through the Report 14:44 What to Do with Vendors You've Never Heard Of 17:20 Trust But Verify 19:20 Stress-Testing the Output Show Notes on www.nobodytoldmeaboutit.com

  12. Apr 29

    Anthropic Project Glasswing: When AI Finds the Bugs Before the Hackers Do

    Anthropic's Mythos Found A 27-Year-Old Bug. Here's What IT Leaders Should Do Monday.

    Anthropic Project Glasswing: When AI Finds the Bugs Before the Hackers Do
  • 12 Episodes

About

Nobody Told Me About IT is a weekly podcast. Hosts Tad Doyle and Nabil Gharbieh have frank, practical conversations about IT strategy, cybersecurity, budgeting, and technology leadership — for the business leaders who need to understand these topics but weren't trained for them. No jargon. No vendor pitch. Just the IT conversations your organization needs to be having. New episodes every Monday.

Information

  • Creator
    Tad Doyle and Nabil Gharbieh
  • Years Active
    2026
  • Episodes
    12
  • Rating
    Clean
  • Copyright
    © Tad Doyle and Nabil Gharbieh
  • Show Website
    Nobody Told Me About IT