ServiceNow Insights 

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ServiceNow Insights is your insider’s guide to the world of ServiceNow. Join us as we unpack the latest products, innovations, and updates with in-depth discussions led by the creators behind the platform. Hear firsthand about the challenges they've overcome, the solutions they've pioneered, and the exciting future they envision. Whether you're a seasoned admin, agent, platform owner, or just discovering the power of ServiceNow,  and offers valuable insights to help you stay informed and leverage the full potential of the platform.

  1. 1d ago

    Speed, Cost, Quality: Pick All Three — Inside ServiceNow's Globalization Agent

    #Localization #Globalization #ServiceNow #AI A translation can be word-for-word accurate and still be completely wrong. In this episode, Bobby Brill sits down with Sam Smyth, Product Manager on the globalization side at ServiceNow, to get into what happens after you decide to go multilingual — the tools, the governance, and the quiet work nobody sees until it breaks. Sam spent fifteen years in localization operations and management before joining ServiceNow, and he's blunt about what actually goes wrong: it's rarely the translator. It's the content you sent them. We get into Localization Workspace, the new globalization agent that builds a glossary from your knowledge articles in minutes, why every customer still insists on a human in the loop, and the one mistake that will break your product UI in six languages at once. Past Localization episodes: https://youtu.be/4ka4qLk8Uj0 https://youtu.be/cGXCnABXKow Guest: Sam Smyth, Product Manager - ServiceNow Chapters 00:00 "People don't see localization until it goes wrong" 00:22 Translation vs. localization — a quick recap 00:56 Meet Sam Smyth: fifteen years in localization 01:37 When a perfect translation is still wrong 03:34 Why customers don't want to leave the platform 04:07 Localization Workspace: no more spreadsheets and email chains 05:13 The surprise: everybody still wants a human in the loop 05:38 Speed, cost, quality — picking all three 06:55 Inside the globalization agent 08:50 Who approves the terms? (And which shade of green?) 09:55 Language governance and the invisible costs 11:49 AI, volume, and doing the work upstream 13:02 Where to actually start with a glossary 16:28 A day in the life of a localization program manager 18:56 Shifting left: from firefighting to strategy 20:35 The one mistake: never hardcode your UI 22:10 Wrap-up ServiceNow Training and Certification: https://www.servicenow.com/services/training-and-certification.html ServiceNow Insights podcast playlist: https://www.youtube.com/playlist?list=PLCOmiTb5WX3qvGq7Cp3o2KkCiplJyqQOK Servicenow.com: https://www.servicenow.com See omnystudio.com/listener for privacy information.

    Speed, Cost, Quality: Pick All Three — Inside ServiceNow's Globalization Agent

  2. Sep 16

    How Voice AI Learns to Understand You

    What did I say? What did I mean? Do you understand me? We ask each other those three questions constantly without noticing. Now we ask them of machines — and this episode is about what happens in the gap. Host Bobby Brill pulls together conversations with the ServiceNow linguists, research engineers, and AI governance leads working on voice, language, and chat, including a real recording of a voice agent failing in real time. Same words. Different meaning. And a machine in the middle trying to work out which one you intended. In this episode:Why a single English word carries no meaning without context, and what that does to translationHow a name that isn't in the training data breaks the first model in the chainThe three-model cascade behind every voice agent, and what gets lost at each handoffA voice agent that hears a confirmation code correctly three times and rejects it three timesWhy formality — tu or vous — is a fluency problem, not a grammar problemWho decides what's acceptable for an AI to say when the same word is fine in London and not in Chicago. Check out our past episodes on voice and voice AI: https://youtu.be/cGXCnABXKow https://youtu.be/yxoHmZj5gOk https://youtu.be/x7Ks932T18oGuests: Lyena Solomon, Director of Globalization and Accessibility Midam Kim, Machine Learning EngineerTara Bogavelli, Research EngineerKatrina Stankovic, Staff Machine Learning EngineerGabrielle Gauthier-Melançon, Staff Applied Research Scientist Louis-Philippe Morin, AI Governance Product Manager CHAPTERS 0:00 "Half ten" — same words, an hour apart 2:04 What did I say: the word "order" 3:19 The name a machine can't hear 5:23 Three models handing meaning to each other 8:19 Naming conventions 10:04 Listen: a voice agent fails 14:47 Tu or vous: talking to you correctly 16:39 Who decides what's acceptable 18:49 Teaching it the way you'd teach a kid 20:15 Why any of this matters For more information, see: ServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html ServiceNow Community: https://community.servicenow.com/community ServiceNow Insights Podcast: https://www.youtube.com/playlist?list=PLCOmiTb5WX3qvGq7Cp3o2KkCiplJyqQOK For general information about ServiceNow, visit: http://www.servicenow.com/ #ServiceNow #VoiceAI #AI #ConversationalAI #Localization #AIGovernance See omnystudio.com/listener for privacy information.

    How Voice AI Learns to Understand You

  3. Aug 20

    Why Translation Isn't the Same as Understanding | Multilingual Content at ServiceNow

    Why multilingual content is a business risk, a compliance question, and an AI-readiness problem - not just a translation checkbox - with ServiceNow's Lyena Solomon. #ServiceNow #Localization #Globalization #AI Chapters 00:00  Cold open: "half ten" and the meaning problem00:29  Welcome + episode topic00:53  Meet Lyena Solomon01:12  Why this isn't just translation03:49  The word "order" - context matters05:05  What is language governance?06:04  Translating "pizza"07:03  The regulatory reality (Quebec, EU AI Act)09:30  Self-localization: Maori and Inuktitut13:23  The real business risk of inconsistency15:43  AI readiness and language risk16:28  A support ticket in three languages20:32  It's about trust, not just translation21:11  Closing thought: the joy of understanding22:17  Wrap-up + subscribeFor more about ServiceNow - https://www.youtube.com/@ServiceNowDocsTo watch these episodes on YouTube - https://www.youtube.com/watch?v=yxoHmZj5gOk&list=PLCOmiTb5WX3qvGq7Cp3o2KkCiplJyqQOK   See omnystudio.com/listener for privacy information.

    Why Translation Isn't the Same as Understanding | Multilingual Content at ServiceNow

  4. Aug 5

    Teaching a Computer to Speak | Voice AI in the Real World

    Voice AI sounds simple until you try to deploy it at scale — across airports, accents, languages, and thousands of employees at once. In this episode of ServiceNow Insights, host Bobby Brill sits down with Midam Kim, an ML engineer and linguist at ServiceNow, to unpack what it actually takes to build voice AI as an enterprise product. From the out-of-vocabulary problem (why AI still struggles with names) to why turn-taking in conversation is a linguistic skill most people never think about, Midam breaks down the human science behind the technology.  In this episode: - Why voice AI is replacing typing as the default way to interact with enterprise systems  - The difference between building for employees (B2B) vs. building for their customers (B2B2C)  - Why an airport is one of the hardest possible environments for voice AI — and what ServiceNow does about it  - The "out-of-vocabulary" problem: why AI still struggles with names, accents, and rare expressions  - Why ServiceNow's secret sauce is hiring linguists, not just engineers  - The linguistic framework behind every voice interaction: sounds, words, and turn-taking  - Why voice AI is like teaching a kid to speak for the first time Chapters00:00 — Welcome to ServiceNow Insights00:22 — Meet Midam Kim, ML Engineer & Linguist00:35 — Why voice is replacing typing01:48 — What voice AI actually does for employees03:40 — B2B vs. B2B2C: who's really using this?05:11 — Desk employee vs. airport traveler: two different problems06:42 — Building for an ever-changing environment08:53 — Why airports are the hardest use case09:54 — Accents, fluency, and the diversity problem11:20 — "My Name Is. My Name Is. My Name Is." — the OOV problem12:50 — The coffee shop name story13:20 — How ServiceNow trains its models14:59 — The 3 linguistic layers: sounds, words, interaction16:38 — Midam's turn-taking story from Korea18:33 — Why voice agents can't be "that person you avoid"20:16 — "We can make it great"  Subscribe for more ServiceNow Insights episodes on AI, voice technology, and enterprise innovation. Related episode: Voice AI Agent Evaluation — how ServiceNow measures whether voice AI meets human expectations. https://youtu.be/x7Ks932T18o For more about voice in AI from Midam Kim - https://youtu.be/3NUf6W_FMWs?is=wGc7BfyhiDp8JlOW  #VoiceAI #EnterpriseAI #ServiceNow #ArtificialIntelligence #Linguistics #ConversationalAI #AIProduct #Podcast See omnystudio.com/listener for privacy information.

    Teaching a Computer to Speak | Voice AI in the Real World

  5. Jul 22

    ServiceNow Process Intelligence | Don't Automate the Chaos

    Most organizations deploying AI agents can’t answer a basic question: is it actually working? Not whether the agent runs — whether the process actually got better. In Episode 3 of our process mining and process intelligence series, Damian Pascale and Roz Parpia join host Bobby Brill to go deep on what it actually looks like to run process intelligence with AI in the mix — from the AI Visibility Gap, to a four-step framework for finding the right AI use cases, to what “closed loop intelligence” really means once agents are governing agents. This episode’s answer to the recurring question: don’t automate the chaos. Find it, understand it, improve it — then, and only then, streamline it.   CHAPTERS 0:00  Introduction — Damian Pascale & Roz Parpia 0:56  “Don’t automate the chaos” — where the phrase comes from 2:25  Process mining vs. process intelligence — what actually changed 4:21  The linchpin: where AI fits across all three layers 5:36  The AI Visibility Gap — what most organizations are missing 6:56  A real example: when agent metrics look great, but quality doesn’t 8:13  The four-step framework: Find, Understand, Improve, Streamline 11:27  Where AI comes into streamlining — sizing the right use cases 13:19  Does the order of the four steps actually matter? 14:04  Task Mining — the human side process mining can’t see 15:19  A concrete example: the procurement approval bottleneck 16:31  The closed loop — six steps to continuous improvement 17:30  Why you can never skip the ‘detect’ step 18:05  Measuring real impact with the compare feature 19:25  Governance and AI Control Tower, explained simply 20:46  Mining the agents themselves — a third layer of visibility 21:36  Closed loop intelligence — the three layers, confirmed 22:48  Day one: what to do after deploying your first agent 23:38  Closing thoughts from both guests 24:26  Wrap-up   IN THIS EPISODE • Why an AI agent doesn’t fix a broken process — it just runs the broken process faster • The real difference between process mining and process intelligence: three layers in one • The AI Visibility Gap: why almost every customer has deployed an agent, but few can prove it’s working • A real customer example — an agent that improved response time but quietly increased the reopen rate • The four-step framework for AI-ready process improvement: Find, Understand, Improve, Streamline • The 2–15 minute rule (and the 3–9 minute sweet spot) for sizing the right AI agent use cases • Why skipping straight to automation is exactly how you end up automating the chaos • Task Mining and the procurement approval example — 45 minutes across four systems, invisible to process mining alone • The six steps of the closed loop, and why the ‘detect’ step is the one everyone skips • Using the compare feature to measure whether an AI agent actually helped — or just moved the problem • AI Control Tower, explained simply — and how it becomes a third layer of process intelligence • Closed loop intelligence: the agent, the governance, and the agent’s own behavior — all observable, all improving   GET STARTED If you’re a ServiceNow customer, you already have access to free evaluation projects — no license needed. https://www.servicenow.com/au/products/process-mining/get-started.html https://www.servicenow.com/docs/r/now-intelligence/process-mining/process-mining.html https://www.youtube.com/watch?v=TVrU0TQ7ldM https://www.youtube.com/watch?v=GLKROYqnc10   #ServiceNow #ProcessMining #ProcessIntelligence #AIAgents #AgenticAI #TaskMining #AIGovernance #AIControlTower #WorkflowAutomation #DigitalTransformation #ContinuousImprovement #ClosedLoopIntelligence #ServiceNowPodcast #EnterpriseAI #DontAutomateTheChaos See omnystudio.com/listener for privacy information.

    ServiceNow Process Intelligence | Don't Automate the Chaos

  6. Jul 9

    ServiceNow Process Intelligence | From Sticky Notes to Process Maps in Five Minutes

    Is process mining just Six Sigma with better software? Two former Lean Six Sigma consultants — now Product Managers at ServiceNow — answer that question. The answer is more interesting than you’d expect. Tomas Galle (Six Sigma Black Belt) and Roz Parpia (Green Belt) join host Bobby Brill to trace process intelligence from factory floors and sticky-note whiteboards to process maps generated in under ten minutes from data you already own. They cover the real cost of the old way, non-conformance, the ServiceNow Playbooks feature, Task Mining, and the question every AI agent deployment should be asking but usually isn’t: did the process actually get better? CHAPTERS0:00  Introduction — Tomas Galle & Roz Parpia2:02  Is process mining just Six Sigma?4:13  The belt system explained — Black Belt, Green Belt, and the punchline4:58  Manufacturing observation: what process improvement looked like before7:51  The real cost of the old way — six figures, six months, one process8:46  Customer reaction: ten years of work, solved in ten minutes9:03  Where ServiceNow sits in the Process Intelligence market10:56  Annual physical vs. wearable — continuous vs. snapshot13:13  Conformance checking and the happy path14:10  Non-conformance: what it is and why everyone should care16:58  Static statistics vs. analysis on the move17:05  Playbooks: responding to non-conformance in real time18:54  How to get started today — free evaluation projects, no license needed20:26  Task Mining: the human layer process mining can’t see22:00  You’re already sitting on a goldmine22:53  Closing thoughts IN THIS EPISODE• Why “that’s just Six Sigma” is actually the right reaction — and what it’s still missing• Frederick Taylor’s stopwatch, the Gemba walk, and how the factory floor became the IT service desk• Why a single process improvement engagement used to cost six figures and take up to six months• The Gartner Magic Quadrant for Process Intelligence — and Roz’s candid take on where ServiceNow really stands• The wearable vs. annual physical: why continuous process mining beats the yearly audit• Conformance checking and the happy path — what it means when your process deviates• Non-conformance explained with a real change management example (87% vs. 98% CAB approval)• How the ServiceNow Playbooks feature turns detection into real-time correction with one click• Task Mining: what people do in Outlook, Teams, and Excel that never appears in your process map• How to start mining your own data today — no license required, no IT admin needed GET STARTEDIf you’re a ServiceNow customer, you already have access to free evaluation projects — no license needed.https://www.servicenow.com/au/products/process-mining/get-started.htmlhttps://www.servicenow.com/docs/r/now-intelligence/process-mining/process-mining.htmlhttps://www.youtube.com/watch?v=TVrU0TQ7ldMhttps://www.youtube.com/watch?v=GLKROYqnc10 TAGS#ServiceNow #ProcessMining #ProcessIntelligence #SixSigma #LeanSixSigma #TaskMining #AIAgents #WorkflowAutomation #DigitalTransformation #ContinuousImprovement #NonConformance #Playbooks #ServiceNowPodcast #EnterpriseAI #ProcessImprovement #GembaWalk #ConformanceChecking See omnystudio.com/listener for privacy information.

    ServiceNow Process Intelligence | From Sticky Notes to Process Maps in Five Minutes

  7. Jun 17

    The Cost of Building the Right Thing | AI, Speed & Discernment at ServiceNow

    Engineering teams are building ten times — even a hundred times — more than they could two years ago. That's a win, but one not without challenges. Because the cost of building the right thing has climbed exponentially. In this episode of the ServiceNow Insights podcast, host Bobby Brill sits down with three leaders who are living this tension from three distinct angles: the content and design leader who first spotted the productivity math problem, the design VP pushing for discernment over speed, and the research lead keeping the human at the center. ━━━━━━━━━━━━━━━━━━━━━━━━IN THIS EPISODE ━━━━━━━━━━━━━━━━━━━━━━━━ DAVID HOARE — Group VP, Digital Content & Design, ServiceNow ANAND THARANATHAN — Group VP, Product Research & Insights, ServiceNow DANTLEY DAVIS — SVP of Design, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS━━━━━━━━━━━━━━━━━━━━━━━━ 0:00 Introduction & Guest Intros 1:13 David: The AI Philosophy — ChatGPT as genuine inflection point 3:02 David: Economic viability — why AI unlocks what was never possible before 3:12 Anand: Three-person startups scaling to $100M+ 3:45 Dantley: From 3D Studio Max to Jarvis — AI as human superpower 6:29 Anand: The customer north star hasn't changed 7:10 David: Engineering's survival problem — the 100x production gap 8:32 David: Andrew Ng's PM-to-engineer ratio + the cost of building wrong 9:40 Dantley: Nine concepts in an hour — design velocity and discernment 12:04 Dantley: The hip-hop tastemaker — slowing down as part of the process 14:20 David: Content governance — the fox guarding the hen house 16:21 Anand: Trust and the human-AI system 17:20 Dantley: AI surprise — UI tech stacks, feature completeness & hidden tech debt 20:21 18-Month Close — Anand, Dantley & David ━━━━━━━━━━━━━━━━━━━━━━━━ KEY TAKEAWAYS ━━━━━━━━━━━━━━━━━━━━━━━━ • Engineering is the first function to see massive AI productivity gains — but that creates a gap every other function has to survive • The cost of building has dropped. The cost of building the wrong thing has climbed exponentially • Discernment is the bottleneck — not speed. Nine concepts in an hour still needs a tastemaker • AI quality is only as good as the content signals it receives — governance is not optional • The customer north star hasn't changed. AI just changes how fast you can move toward it • Customer value is the only metric that matters. Everything else is the path to it ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Subscribe for new episodes on AI, product, engineering, and the future of work.  #ServiceNow #AI #ArtificialIntelligence #ProductDesign #SoftwareEngineering #ContentGovernance #DesignLeadership #AIStrategy #ProductManagement #EngineeringLeadership #TechLeadership #FutureOfWork #ServiceNowInsights #MachineLearning #Innovation #DesignThinking #TechPodcast #AIProductivity #DigitalTransformation #CustomerValue See omnystudio.com/listener for privacy information.

    The Cost of Building the Right Thing | AI, Speed & Discernment at ServiceNow

  8. May 27

    Being AI Native at ServiceNow

    What does it actually mean to be AI native? Not the buzzword — the real thing. Host Bobby Brill brings together seven ServiceNow experts across six conversations for a complete picture of what AI native thinking, building, and working looks like right now.━━━━━━━━━━━━━━━━━━━━━━━━WHAT WE COVER━━━━━━━━━━━━━━━━━━━━━━━━DI LE — AI Ethicist & Human-Centered AI Strategist, ServiceNowThe clearest definitions you'll find anywhere of responsible AI, ethical AI, and human-centered AI — and why all three are required if you're going to do this right. Plus: why AI native means AI as the operating system, not a feature.DR. ALAINA BEAVER — Global Head of Accessibility Customer Engagement, ServiceNowServiceNow built the world's first AI model accessibility checker with the Global Accessibility Awareness Day Foundation — and open-sourced it on GitHub for free. Because responsible AI native behavior means holding AI itself accountable.ANAND THARANATHAN — Research Leader, ServiceNowA framework from cognitive science every AI builder needs: use, disuse, misuse, and abuse. The four modes of AI interaction — and why proper use is the only one that delivers.TARA BOGAVELLI & KATRINA STANKIEWICZ — Voice AI Research Team, ServiceNowHow ServiceNow built a rigorous open-source evaluation framework for voice agents from scratch — and what cascade failures, transcription errors, and prosody failures actually sound like in practice.IAN THURLOW & ANDREW YAN — Software Engineering Manager & Software Engineer, ServiceNowThe daily ground-floor reality of being AI native: AI as accelerator, AI as the new Stack Overflow, the calculator analogy, and why fundamentals matter more than ever.━━━━━━━━━━━━━━━━━━━━━━LEARN MORE━━━━━━━━━━━━━━━━━━━━━━━━ServiceNow Responsible AI: https://www.servicenow.com/responsible-aiAI Model Accessibility Checker: https://www.servicenow.com/accessibility-statement.htmlServiceNow AI: https://www.servicenow.com/artificial-intelligence━━━━━━━━━━━━━━━━━━━━━━━━ABOUT THIS PODCAST━━━━━━━━━━━━━━━━━━━━━━━━Hosted by Bobby Brill. A ServiceNow podcast exploring the people, technology, and ideas shaping the future of work.#AINative #ServiceNow #ResponsibleAI #HumanCenteredAI #AIEthics #EnterpriseAI #FutureOfWork #NowAssist #ArtificialIntelligence #Podcast See omnystudio.com/listener for privacy information.

    Being AI Native at ServiceNow
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Ratings & Reviews

4.3
out of 5
16 Ratings

About

ServiceNow Insights is your insider’s guide to the world of ServiceNow. Join us as we unpack the latest products, innovations, and updates with in-depth discussions led by the creators behind the platform. Hear firsthand about the challenges they've overcome, the solutions they've pioneered, and the exciting future they envision. Whether you're a seasoned admin, agent, platform owner, or just discovering the power of ServiceNow,  and offers valuable insights to help you stay informed and leverage the full potential of the platform.

Information

  • Creator
    ServiceNow Community
  • Years Active
    2015 - 2026
  • Episodes
    100
  • Rating
    Clean
  • Copyright
    © 2026 ServiceNow Community
  • Show Website
    ServiceNow Insights 

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