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No Effing AIdea!

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by Srini and David

8 episodes

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Podcast Overview

No Effing AIdea! is where enterprise leaders get the real story on AI adoption. Forget the hype and vendor theatre — this is the messy middle, where boards want moonshots, compliance says no, and customers push back on brilliance. Hosts Srini Annamaraju and David Royle bring 30+ years of earned scars in digital and AI transformation. Every fortnight, they cut through the noise with: The Cold Open — a provocative stat or story you should be paying attention to (AI ethics, job displacement, enterprise fraud, you name it) The Reality Check — a fast, unfiltered rundown of the last two weeks in enterprise AI, decoded for what it really means The Deep Dive — one paradox in focus, like midsize firms “too big for hacks, too lean for moonshots,” or boards demanding both ROI and revolution at once The Paradox Box — candid Q&A with execs, founders, and investors wrestling with the contradictions of AI in the enterprise It’s pragmatic, funny, and sometimes brutal. Finally, a podcast that talks about AI transformation like adults who’ve actually been there.

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Publishing Since

9/11/2025

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Recent Episodes

March 8, 2026

Ep #8: Enterprise AI Field Notes: Agents at Work, Live Demo, Guardrails + Responsible Innovation

Hosts: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/sriniuk/" target="_blank">Srini Annamaraju</a> & <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/davidroyle/" target="_blank">David Royle</a>.Guest: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/raviramchandran/" target="_blank">Ravi Ramchandran.</a>Welcome to episode 8.AI agents are getting easier to build. That’s the exciting bit. The risky bit is that organisations can now create weak, badly governed automations before leadership has worked out what “good” actually looks like.In this episode, Ravi joins Srini and David to pull the conversation out of buzzword-land and into real work. He walks through a practical example of building an agent that turns meeting transcripts into status reports, then digs into what matters underneath: prompt discipline, guardrails, safe experimentation, risk metrics, and why handing people tools without changing operating practice is asking for trouble.The conversation moves from macro AI noise to enterprise reality. How should leaders think about the 70-20-10 split of routine, experimental, and visionary work? Where does human friction still belong? And how do you encourage innovation without creating a quiet flood of low-quality AI output across the firm?What we cover<ul><li>Macro AI reality check - Why the sensible middle matters more than the hype-or-panic cycle.</li><li>Productivity is starting to show up - Early signs of measurable uplift are emerging, even if the landing is still messy.</li><li>The 70-20-10 work model - How to cut routine work and create more room for experimentation and higher-order thinking.</li><li>Innovation becomes everybody’s job - The barrier to building has dropped so far that innovation can’t stay in a corporate side room.</li><li>A live agent example - Ravi demonstrates how meeting transcripts can be turned into weekly status reporting.</li><li>Why prompts are not enough - One decent output is not the same as a repeatable capability.</li><li>Risk metrics for the AI era - Traditional productivity measures are no longer enough.</li><li>A seven-day build plan - Ravi shares a practical way to identify, scope, and build useful agents.</li></ul>Chapters<ol><li>AI noise vs real enterprise adoption</li><li>Why productivity gains are starting to matter</li><li>The 70-20-10 model for redesigning work</li><li>Innovation becomes everybody’s business</li><li>Live demo: agent for weekly status reports</li><li>Prompting, grounding, and hallucination risk</li><li>Guardrails, policy, and engineering practice</li><li>Risk metrics and trust in production</li><li>A seven-day framework for useful agents</li></ol>Top-5 Takeaways<ul><li>Tools alone do not transform organisations</li><li>Agents need boundaries, not vibes</li><li>AI risk is now operational risk</li><li>Safe experimentation needs leadership air cover</li><li>Frameworks beat random enthusiasm</li></ul>Who it’s forEnterprise Leaders in all functions inerested in AI adoption. Help Spread the Word Enjoyed the episode? Follow us!Template TakeawaysRavi has kindly shared these two templates he walked us through for general open access. Please feel free to download them from this Google Drive folder. <a rel="noopener noreferrer nofollow" href="https://drive.google.com/drive/folders/1yKGryaEQ4lM8hLSf1il3jrqbZj4XgHrt?usp=sharing" target="_blank">https://drive.google.com/drive/folders/1yKGryaEQ4lM8hLSf1il3jrqbZj4XgHrt?usp=sharing</a>

December 15, 2025

Ep #7: Enterprise AI Field Notes: Live cohort for Evals Careers, AI Trust, Governance + Spicy News!

Hosts: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/sriniuk/" target="_blank">Srini Annamaraju</a> & <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/davidroyle/" target="_blank">David Royle</a>“Evals are the weak link in enterprise AI adoption.”And we say it like it is in our Maven cohort Lightning Lesson. Enrol here or see the recording - or join the waitlist for the paid 4-part course (tba): <a rel="noopener noreferrer nofollow" href="https://shorturl.at/lA9ig" target="_blank">https://shorturl.at/lA9ig</a>This episode is a proper grilling on AI Evals: what they are, why boards should care, and why “ship it now, eval it later” is how you end up with a quiet disaster. We also do a quick sweep on vendors going more “enterprise-native” (less benchmark theatre, more workflow reality).What we cover<ul><li>Enterprise AI news: vendors shifting from benchmarks to enterprise workflows</li><li>OpenAI’s Enterprise report highlights </li><li>UiPath as the “plug-in hybrid” of automation: deterministic RPA meets GenAI via connectors (and why that blend might win)</li><li>What evals actually are: accuracy, citations, groundedness, hallucinations</li><li>Vendor reality: some push AI first and worry about evals later, others oversell eval tooling. Error analysis still matters</li><li>Evals as the connective tissue between value, risk, and operations. Proactive, not post-mortem-after-the-horses-bolted</li><li>The EDSO “four hats” operating model (Echo, Delta, Sigma, Omega) and why boards need the Omega translation layer</li><li>Maturity and scaling: small firms can fuse hats, even one-person pods for bounded scopes</li><li>Agentic future: “checker agents”, Delta agents writing eval harnesses, humans steering fleets of agents</li><li>Why SMEs lag, and how eval expectations will percolate through supply chains </li></ul>Chapters<ul><li>00:02 Intro: Episode 7, cold UK afternoon, messy middle of enterprise AI</li><li>00:56 AI news: enterprise context is the new battleground</li><li>02:45 OpenAI Enterprise report headlines</li><li>10:16 UiPath, hybrid automation, and the “plug-in hybrid” analogy</li><li>12:53 The grilling starts: what are evals?</li><li>17:02 Is AI risk being exaggerated to sell governance tools?</li><li>19:45 Evals as connective tissue, and why proactive matters</li><li>21:55 The EDSO roles and what “good” looks like</li><li>25:21 Maturity levels and how smaller firms scope it</li><li>26:58 Checker agents and agentic operating models</li><li>28:58 Business case problem: cost vs avoided disaster</li><li>32:14 Evals in SMEs and supply-chain pressure</li><li>33:26 Close: “survived the grilling”</li></ul>Takeaways<ul><li>Evals are not paperwork. They’re how you keep the value chain connected to operations without risk blowing up later.</li><li>Don’t let vendors sell you “tooling-as-a-substitute-for-thinking.” You still need human error analysis and clear accountability.</li><li>Treat EDSO as hats, not headcount. Start bounded, prove value, then scale.</li><li>Evals is becoming a career lane (think “AI eval controller” the way finance has controllers).</li><li>The agentic world will add “checker agents” and automated harness-writing, but humans still steer the system.</li></ul>Who it’s forCIOs, CDOs, CAIOs, Heads of Risk, and anyone trying to ship enterprise AI without quietly lighting their control environment on fire. Also, anyone building a real career edge around AI trust and operational quality.

November 25, 2025

Ep #6: Enterprise AI Field Notes: Shadow AI, Fwd Deployed Eval Engrs, AI Drift, Board Governance

Hosts: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/sriniuk/" target="_blank">Srini Annamaraju</a> & <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/davidroyle/" target="_blank">David Royle</a>.“The AI bubble is the wrong fear.”The real threat sits inside your own walls: shadow AI you don’t see, boards that confuse risk aversion with risk management, and leaders trying to govern a technology they don’t actually understand.We unpack why mid-market boards are exposed, how shadow AI reveals the truth about how your org really works, and what an actually realistic 12-month AI plan looks like.And yes—why people, not models, are now the biggest AI risk vector.The conversation revolves around a recent paper that David authored, a link to <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/posts/davidroyle_guiding-ai-strategy-the-boards-imperative-activity-7391871577631608832-_3IA?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAFdNaABIvmIsUfUKUvr8ukvjoIDAxHQRVc" target="_blank">the post that has the details is here</a>. What we cover<ol><li>Bubble noise vs fundamentals - Valuations swing wildly, but enterprise AI maturity rises daily. We explain why it has nothing to do with the technology reshaping your org.</li><li>Shadow AI as diagnosis - It’s not a tooling problem but a symptom of mismatched expectations. </li><li>Boards: from passive listeners to owners - Why literacy is step zero, and why chairs need to move fast. </li><li>Risk aversion trap - The boards that “get it” flip from “should we?” to “how quickly, safely, and visibly can we?” </li><li>90-day governance playbook - Inventory → Validate → Govern. </li><li>Top-down vs bottom-up AI - How grassroots use cases and board-led operating models collide. </li><li>12-month reality check - You won’t be AI-first in a year. But you can be an AI-literate, AI-safe, AI-enabled organisation in 12 months. </li><li>Explainability anxiety - Why boards demand transparency from AI they never asked of spreadsheets or humans. </li><li>The uncomfortable truth - The biggest AI risk isn’t the model. It’s your people. </li><li>Evals preview - Why audits, trust contracts, drift checks, and forward-deployed evaluators will soon be board-level concerns.</li></ol>Chapters<ul><li>AI bubble vs enterprise fundamentals</li><li>Shadow AI as a symptom</li><li>Boards falling behind</li><li>Risk aversion vs risk management</li><li>90-day governance plan</li><li>A realistic 12-month AI horizon</li><li>The real AI risk: people</li><li>Intro to enterprise evals</li></ul>Takeaways<ul><li>Shadow AI is a mirror - reveals gaps in culture, process, and leadership direction, not tooling.</li><li>Boards must lead, not observe - Active literacy and ownership are key.</li><li>Governance is the stabiliser. Inventories, validations, guardrails, and oversight reduce drift & exposure.</li><li>Explainability is contextual. Set boundaries, not magic expectations.</li><li>People are the attack surface. Don't miss non-malicious misuse.</li><li>12 months = foundations. Literacy, safety, and one high-value use case per function. That’s the win.</li></ul>Who it’s forBoard members, CEOs, COOs, CIOs, CROs, and mid-market operators needing a grounded, real-world view of AI risk, governance, and organisational maturity. Help Spread the Word - Enjoyed the episode? Follow the show, leave a review, and share with a colleague grappling with shadow AI, governance gaps, or board-level AI decisions. Want to join as a guest or sponsor a future episode? Get in touch!

8 total episodes available

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What is No Effing AIdea!?: No Effing AIdea! is where enterprise leaders get the real story on AI adoption. Forget the hype and vendor theatre — this is the messy middle, where boards want moonshots, compliance says no, and customers push back on brilliance.

Hosts Srini Annamaraju and David Royle bring 30+ years of earned scars in digital and AI transformation. Every fortnight, they cut through the noise with:

The Cold Open — a provocative stat or story you should be paying attention to (AI ethics, job displacement, enterprise fraud, you name it)

The Reality Check — a fast, unfiltered rundown of the last two weeks in enterprise AI, decoded for what it really means

The Deep Dive — one paradox in focus, like midsize firms “too big for hacks, too lean for moonshots,” or boards demanding both ROI and revolution at once

The Paradox Box — candid Q&A with execs, founders, and investors wrestling with the contradictions of AI in the enterprise

It’s pragmatic, funny, and sometimes brutal. Finally, a podcast that talks about AI transformation like adults who’ve actually been there.
How often does this podcast release new episodes?: This podcast updates daily.
Where can I listen to this podcast?: This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: Yes, this podcast regularly features guests.

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