Episoder
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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?
CHAPTERS
0:00 Introduction — Tomas Galle & Roz Parpia
2:02 Is process mining just Six Sigma?
4:13 The belt system explained — Black Belt, Green Belt, and the punchline
4:58 Manufacturing observation: what process improvement looked like before
7:51 The real cost of the old way — six figures, six months, one process
8:46 Customer reaction: ten years of work, solved in ten minutes
9:03 Where ServiceNow sits in the Process Intelligence market
10:56 Annual physical vs. wearable — continuous vs. snapshot
13:13 Conformance checking and the happy path
14:10 Non-conformance: what it is and why everyone should care
16:58 Static statistics vs. analysis on the move
17:05 Playbooks: responding to non-conformance in real time
18:54 How to get started today — free evaluation projects, no license needed
20:26 Task Mining: the human layer process mining can’t see
22:00 You’re already sitting on a goldmine
22:53 Closing thoughtsIN 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 neededGET 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=GLKROYqnc10TAGS
#ServiceNow #ProcessMining #ProcessIntelligence #SixSigma #LeanSixSigma #TaskMining #AIAgents #WorkflowAutomation #DigitalTransformation #ContinuousImprovement #NonConformance #Playbooks #ServiceNowPodcast #EnterpriseAI #ProcessImprovement #GembaWalk #ConformanceCheckingSee omnystudio.com/listener for privacy information.
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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.
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IN THIS EPISODE
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DAVID HOARE — Group VP, Digital Content & Design, ServiceNow
ANAND THARANATHAN — Group VP, Product Research & Insights, ServiceNow
DANTLEY DAVIS — SVP of Design, ServiceNow ββββββββββββββββββββββββ
CHAPTERS
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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 ββββββββββββββββββββββββ
KEY TAKEAWAYS
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• 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 ββββββββββββββββββββββββ
ABOUT THIS PODCAST
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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 #CustomerValueSee omnystudio.com/listener for privacy information.
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Manglende episoder?
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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.
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WHAT WE COVER
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DI LE — AI Ethicist & Human-Centered AI Strategist, ServiceNow
The 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, ServiceNow
ServiceNow 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, ServiceNow
A 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, ServiceNow
How 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, ServiceNow
The 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.
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LEARN MORE
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ServiceNow Responsible AI: https://www.servicenow.com/responsible-ai
AI Model Accessibility Checker: https://www.servicenow.com/accessibility-statement.html
ServiceNow AI: https://www.servicenow.com/artificial-intelligence
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ABOUT THIS PODCAST
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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 #PodcastSee omnystudio.com/listener for privacy information.
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Day One Ready: What New Engineers Actually Need to Know About AI | Engineering Now Unlocked
Starting your first engineering role — or coming back for a return offer — and wondering what AI actually changes about the job? This episode gives you the real answer, from two engineers living it every day.
Jordan Shelton and Cynthia Mathenge sit down with Ian Thurlow (Senior Manager, Data Platform Software Engineering) and Andrew Yan (Software Engineer, Data Foundations) to talk about what day one looks like now, what AI tools actually do for early-career engineers, and what fundamentals still separate good engineers from great ones. If you’re about to start an internship, just got your return offer, or you’re a manager thinking about how to set new engineers up for success — this is the conversation you need before day one.
What you’ll learn
β What AI actually changes about day-to-day engineering work (and what it doesn’t)
β Why the fundamentals matter more than ever — not less
β How to build a network at a company like ServiceNow, even if you start remotely
β How to use AI as a sounding board, not a crutch
Chapters
00:00 Introduction — Engineering Now Unlocked
02:08 Meet Ian Thurlow and Andrew Yan
03:03 How AI is changing day-to-day engineering work
04:47 AI as an accelerator, not a replacement
09:04 AI as a sounding board
12:38 Leadership mindset in an AI-first team
13:46 Raising the bar for early-in-career talent 1
5:41 What your first 30 days should look like
17:43 This or That
19:16 Code reviews: the fastest way to learn that nobody talks about
20:57 Building your network — even fully remote
24:24 Ian and Andrew’s Work Advice
27:43 Outro
Guests
Ian Thurlow Senior Manager, Data Platform Software Engineering — ServiceNow
Andrew Yan Software Engineer, Data Foundations — ServiceNow
Hosts
Jorden Shelton Technical Program Manager, AI Engineering & Delivery — ServiceNow
Cynthia Mathenge Business Operations Manager, AI Engineering & Delivery — ServiceNow
Bobby Brill ServiceNow Insights
Links & Resources Learn more about ServiceNow Engineering → https://www.servicenow.com/company/careers/engineering.html
ServiceNow Docs → https://docs.servicenow.com
New to the channel? Subscribe so you never miss an episode of ServiceNow Insights.See omnystudio.com/listener for privacy information.
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Voice AI agent evaluation — why it's fundamentally harder than text, how cascade failures derail conversations invisibly, and ServiceNow's open-source framework to establish industry evaluation standards. Featuring real audio examples showing authentication failures, leaked reasoning, and latency problems.
WHAT WE COVER
TARA BOGAVELLI — Research Engineer, ServiceNow
Leading the open-source voice agent evaluation framework. Explains why existing benchmarks don't measure what matters and what ServiceNow is releasing to establish industry standards.KATRINA STANKIEWICZ — Staff Machine Learning Engineer, ServiceNow
Cascade model architecture expert. Breaks down STT → LLM → TTS failure modes, named entity transcription challenges, and real audio example analysis.GABRIELLE GAUTHIER MELANÇON — Staff Applied Research Scientist, ServiceNow
Multi-language evaluation specialist. Reveals why Large Audio Language Models lag behind, the native speaker requirement, and bot-to-bot simulation methodology.CHAPTERS
0:00 Introduction — The evaluation gap
1:11 ServiceNow's Open-Source Framework Announcement — Tara Bogavelli
2:43 Meet the Researchers
3:43 Voice-Specific Challenges — Tara Bogavelli
5:03 Cascade Architecture: STT → LLM → TTS — Katrina Stankiewicz
7:57 The Named Entity Problem — Katrina Stankiewicz
10:06 Evaluation Metrics: Accuracy vs Experience — Gabrielle Gauthier Melançon
11:23 Bot-to-Bot Testing at Scale — Gabrielle Gauthier Melançon
14:30 The LALM Gap: Why Audio AI Judges Struggle — Tara Bogavelli
16:57 Real Audio Example: Flight Rebooking Gone Wrong
21:58 Breaking Down the Failures — Katrina Stankiewicz 28:30 Wrap-Up & ResourcesKEY INSIGHTS
The Cascade Failure Problem: STT → LLM → TTS errors propagate invisibly Named Entity Transcription: The #1 enterprise blocker—names, confirmation codes, emails break authentication Accuracy vs Experience: Perfect task completion means nothing if users hang up due to poor experience LALM Gap: Large Audio Language Models lag behind text LLMs—human evaluators remain essential Latency Kills Conversations: Five-second pauses make users think the call dropped, breaking the experience even when tasks complete Open-Source Framework: ServiceNow releasing evaluation tools, metrics, and bot-to-bot simulation methodology for the industry.
LEARN MORE
Website: https://servicenow.github.io/eva/ GitHub:
https://github.com/servicenow/eva Blog Post:
https://huggingface.co/blog/ServiceNow-AI/eva Dataset: https://huggingface.co/datasets/ServiceNow-AI/evaABOUT
Hosted by Bobby Brill. ServiceNow Insights podcast explores AI research, real-world applications, and the people building the future of work. #VoiceAI #AIEvaluation #ServiceNow #MachineLearning #OpenSource #ConversationalAI #STT #TTS #LLM #VoiceAgents #AIResearch #Podcast
See omnystudio.com/listener for privacy information.
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AI governance at scale — what it means, how to do it, and what regulations you need to know now. Host Bobby Brill brings together five ServiceNow experts across two conversations for a complete 20-minute briefing on governing AI in the enterprise.
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WHAT WE COVER
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RAVI KRISHNAMURTHY — VP, AI Platform, ServiceNow
Why hidden AI is one of the biggest unmanaged risks in the enterprise — and why governance is an accelerator, not a brake.
PETER WEIGT — Responsible AI, ServiceNow
The innovation paradox: how AI Control Tower makes governance a team sport and breaks down the silos that slow AI deployment down.
SAMPADA CHAVAN — AI Control Tower, ServiceNow
How AI Control Tower was built, what the discovery problem really looks like, and why compliance must be baked into the AI lifecycle — not bolted on at the end.
ANDREA LAFOUNTAIN — AI Legal, ServiceNow
The three regulatory frameworks every enterprise needs to know: EU AI Act, Colorado AI Act, and NIST. Plus: the compliance strategy that scales across all of them.
NAVDEEP GILL — Responsible AI, ServiceNow
The math on enterprise AI compliance — why it's exponential — and how AI Control Tower's automated discovery keeps you ahead of it.
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CHAPTERS
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0:00 Introduction
1:23 The Hidden AI Problem — Ravi Krishnamurthy & Sampada Chavan
5:33 AI Control Tower in Practice — Peter Weigt & Sampada Chavan
7:37 The Regulatory Landscape — Andrea LaFountain & Navdeep Gill
14:38 Compliance in Action & Key Deadlines
17:05 Wrap-Up
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KEY DATES TO KNOW
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EU AI Act enforcement: August 2026
Colorado AI Act enforcement: June 2026
NIST AI RMF: Voluntary framework, increasingly referenced by regulators
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LEARN MORE
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ServiceNow AI Control Tower: https://www.servicenow.com
NIST AI Risk Management Framework: https://www.nist.gov/artificial-intelligence
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ABOUT THIS PODCAST
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Hosted by Bobby Brill. A ServiceNow podcast exploring the people, technology, and ideas shaping the future of work.
#AIGovernance #ServiceNow #AIControlTower #ResponsibleAI #EUAIAct #EnterpriseAI #AICompliance #FutureOfWork #NowAssist #PodcastSee omnystudio.com/listener for privacy information.
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What is Agentic AI — and what can it actually do for your business? In this episode of the podcast, host Bobby Brill brings together three conversations with the people building Agentic AI at ServiceNow into one 20-minute briefing.
Whether you're leading a team, managing a platform, or just trying to understand what your company is investing in - this episode gives you the full picture.
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WHAT WE COVER
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RITA CASTILLO — VP of Design, Platform & AI
The clearest explainer of Agentic AI you'll find. Rita walks through the full evolution from scripted automation to agentic systems, what makes agentic different, and how the orchestrator-and-agent hierarchy works at ServiceNow.
AMRUTHA RAMESH — Visiting Researcher, ServiceNow
Amrutha built Agent Ada — a real AI agent designed to turn enterprise data into actionable insights. She explains how Ada understands your goal, adapts to who's asking, and delivers analysis your team can actually use.
ISSAM LARADJI & ANITHA RAGHAVAN — Research Scientist & Product Manager, ServiceNow
How do you know if your AI's insights are trustworthy? Issam and Anitha built InsightBench — a benchmark that uses AI to evaluate AI — to answer exactly that question.
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CHAPTERS
0:00 Introduction
1:30 What Is Agentic AI? — Rita Castillo, VP of AI Design
6:00 How Agents Work as a Team
10:30 Meet Agent Ada — Amrutha Ramesh, Visiting Researcher
16:00 Can You Trust Your AI? — Issam Laradji & Anitha Raghavan
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GUESTS
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Rita Castillo — VP, AI Design at ServiceNow
Amrutha Ramesh — Visiting Researcher, ServiceNow
Issam Laradji — Research Scientist, ServiceNow
Anitha Raghavan — Product Manager, ServiceNow
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LEARN MORE
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ServiceNow Agentic AI: https://www.servicenow.com
More episodes:
Narrative Analytics with Agent Ada: https://youtu.be/k1P9o2glq90
InsightBench & AgentPoirot: https://youtu.be/0_ikQQ82qAk
Understanding Agentic AI with Rita Castillo: https://youtu.be/JyFdcQChYLs
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ABOUT THIS PODCAST
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Hosted by Bobby Brill. ServiceNow INsights podcast explores the people, technology, and ideas shaping the future of work.
#AgenticAI #ServiceNow #AIAgents #ArtificialIntelligence #FutureOfWork #EnterpriseAI #DataAnalytics #NowAssist #MachineLearning #Podcast
See omnystudio.com/listener for privacy information.
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Your dashboards show you what's happening. Process mining shows you why — and what to do about it. In this episode, Bobby Brill sits down with Dan Grady to demystify process mining: what it is, how it works within the ServiceNow platform, and why organizations using it are uncovering years of hidden inefficiency they never knew existed.
Dan walks through real customer stories — from a double approval process for printer toner that was costing 2 days per request to a single form-field change that saved 7 years of manual work per month — and explains how process mining moves you from raw data to actionable insight faster than any traditional approach.
Dan Grady has a technology career that spans over 25 years. The last 10 spent at ServiceNow. In his current role as Director of Product Management, he is focused on helping customers identify process improvement opportunities through the use of ServiceNow's Process and Task Mining solution. Outside of the office, he enjoys spending time with his wife and 3 girls, public speaking, bad NY sports teams, a good happy hour deal, and storytelling.
Whether you're new to ServiceNow or a seasoned admin, this episode will change how you think about your workflows.
π Get started with Process Mining: https://www.servicenow.com/community/process-mining-article/servicenow-process-mining-formerly-process-optimization-faq/ta-p/2309083
π Learn more about ServiceNow: https://www.servicenow.com/docs/
π ServiceNow Docs YouTube Channel: https://www.youtube.com/channel/UCQjE37R-Y4DTq7kUWPO83Wg
Chapters
0:00 – Introduction & Dan Grady's Background
1:13 – What Is Process Mining? (The X-Ray for Your Business)
2:08 – Why Dashboards Alone Aren't Enough
3:56 – From Raw Data to Actionable Insights
4:59 – The Printer Toner Story: Removing a Step, Saving Two Days
6:01 – The Spaghetti Bowl: Visualizing Your Processes
7:34 – The "47 Years" Moment That Shocks Every Customer
8:43 – Finding Automation Opportunities with Process Mining
10:49 – Best Practices: How to Avoid Getting Overwhelmed
12:35 – Getting Started: First Steps on the Platform
15:11 – Real Customer Use Cases (Approvals, Routing & More)
17:59 – Why You Never Stop Needing Process Mining
20:50 – The Analytics Stack: Operational Reporting → Platform Analytics → Process Mining
22:45 – Closing & Where to Learn MoreSee omnystudio.com/listener for privacy information.
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The Human in the Loop | Ethical AI with Di Le
ServicveNow Insights Podcast - hosted By Bobby Brill
What does it actually mean to build AI responsibly? Not the buzzword version. The real version. In our latest episode, I sat down with Di Le — AI Ethicist and Human-Centered AI Strategist at ServiceNow — and she broke it down in a way I hadn't heard before.
Most people use Ethical AI, Responsible AI, and Human-Centered AI interchangeably, and Di breaks down exactly where each one lives and how they apply to building AI that aligns with our societal values. Fairness. Transparency. Bias. Beyond evaluation and technical talking points, these are also design decisions with real consequences for real people — and operationalizing them is harder than most organizations want to admit.
One line from Di that stopped me: "People have crossed oceans and built monuments in honor of our capability to think. And I just want people to preserve that and not surrender it so freely." That's the episode in one sentence.
To learn more about Ethical AI and reseatch from Di Le and more - https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1020&context=sighci2025https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1025&context=sighci2024
https://www.youtube.com/watch?v=QhVY-85A-Wk&t=5s
ServiceNow Insights Podcast π§ The Human in the Loop — now available wherever you listen to podcasts.0:00 – Introduction & Di Le's Background
1:35 – Is Ethical AI Just About Preventing Skynet?
2:22 – Responsible AI vs. Ethical AI vs. Human-Centered AI
6:34 – Why All Three Are Deeply Interconnected
8:39 – When "Amazing" Tech Goes Wrong: The Adobe Example
10:07 – Fairness, Transparency & Accountability Explained
12:06 – The Mug Factory: Understanding Bias in AI
14:52 – Transparency & Interpretability in AI Design
16:48 – Keeping Humans Genuinely in the Loop
18:06 – Accountability & Human Oversight
20:39 – Why Bias Isn't a Bug You Can Just Fix
22:30 – How ServiceNow Approaches Responsible AI
23:11 – Why Di Chose ServiceNow (The Origin Story)
27:09 – One Thing Everyone Should Do With AI 28:38 – ClosingSee omnystudio.com/listener for privacy information.
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AI is transforming how businesses operate and how early-career talent grows. In this episode,β―UTG Unlocked, Mark Stockford (GVP, Global Cloud Operations) and Alyssa Gerhart (former intern, now full-time employee) share how AI is reshaping work at ServiceNow—from strategic impact to day-to-day execution. Our guest hosts Jorden Shelton and Cynthia Mathenge guide the conversation and explore real AI use cases like Unity, RAG-based duplicate detection, and intent detection, while emphasizing the importance of critical thinking and strong fundamentals.
In this episode, designed not just for recent interns, you’ll learn how AI is expanding career paths, how teams like Global Cloud Services power innovation behind the scenes, and what interns and early-career professionals can do now to grow: stay curious, use AI intentionally, seek mentors, and don’t just consume—contribute.
UTG is the engine behind the scenes here at ServiceNow — enabling innovation, maintaining production environments, supporting internal teams, and driving operational excellence. It connects strategy to execution by combining engineering, cloud operations, and technology operations to deliver stable, high-performing systems that allow the business and customers to succeed.
For more information about the Early Careers program visit - https://careers.servicenow.com/early-careers/
00:00 Welcome & What ‘UTG Unlocked’ Is All Aboutβ―
02:50 Meet the Panel: Mark, Alyssa, Jorden & Cynthiaβ―
04:29 Segment 1: How AI Is Impacting the Business (Customers vs. Employees)β―
06:26 Skills That Matter in an AI-Powered Workplaceβ―
09:52 Real AI Use Cases: Unity, Agents, and Faster Opsβ―
13:57 AI and Career Growth: New Roles, New Paths, Partnering with AIβ―
18:56 Advice for Early-Career Talent: Stay Curious, Build, Contributeβ―
20:41 Segment 2 Kickoff: Rapid-Fire Fun
28:50 Pulling Back the Curtain: What is GCS
30:37 GCS as a Superhero: Operating in the Shadows Like Batmanβ―
31:35 The Hidden Work: Solving Customer-Created Problems & Root-Cause Huntingβ―
33:37 Alyssa’s Journey: Intern to FTE, Mentorship, and Scaling Developer Productivityβ―
35:38 What’s Next: Emerging Tech on the Radar (AI to Quantum Computing)β―
37:15 Closing Takeaways: Keep Learning, Use AI Wisely, Ask Questions, and Give Backβ―
40:12 Final Words & Where to Learn MoreSee omnystudio.com/listener for privacy information.
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Exploring Leadership and AI with Anand Tharanathan
In this engaging episode of our podcast, we delve into the world of leadership and Artificial Intelligence with Anand Tharanathan, GVP of Product Research and Insights at ServiceNow. Anand shares his journey from an individual contributor to a leadership role, emphasizing the importance of empathy, mentorship, and learning from failure. He discusses his unique perspective on leadership drawn from his experiences in sports and how this has influenced his professional growth.
Anand also provides insights into the rapidly evolving field of AI, comparing it with human automation and highlighting the importance of keeping the human element in the loop. He addresses the challenges and nuances of designing AI systems that enhance human capabilities rather than replace them. Additionally, Anand discusses how to strike a balance between being product-centric and people-centric, and the crucial role of adaptability in navigating technological advancements.
Towards the end of the conversation, Anand outlines a framework for effectively using AI and advises on avoiding common pitfalls when integrating AI into new products. This episode is a must-watch for anyone interested in leadership, AI, and the future of technology. Join us and gain valuable insights from industry experts!
Guest - Anand Tharanathan, GVP of Product Research and Insights at ServiceNow
Guest Host - Apurva Korde00:00 Introduction and Guest Welcome
00:24 Discussing UX Research and AI
01:18 Leadership Journey and Insights
03:45 The Role of Mentors and Managers
09:59 Design Leadership vs. Conventional Leadership
13:56 Balancing Product and People-Centric Leadership
17:55 Adapting to Rapid Technological Changes
18:56 Navigating the AI Revolution
19:14 Staying Calm and Curious in the AI Era
20:45 Insights from a Tech Leader on AI
21:42 Designing Human-Centric AI Experiences
26:32 The Importance of Human in the Loop
31:24 Frameworks for AI Use and Misuse
34:25 Building AI-Powered Products
36:37 Balancing AI and Business Goals
38:45 Concluding Thoughts on AISee omnystudio.com/listener for privacy information.
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In this episode of the podcast, host Bobby Brill takes a break from hosting duties and introduces Shruti Shrivastava, Director of UX Research at ServiceNow in Bangalore, India. Shruti takes the reigns for this episode and interviews Averria Martin, Senior Director, UX Research. The conversation covers a range of topics including the application of AI in research, internal mobility at ServiceNow, and effective leadership strategies. Averria shares her personal and professional experiences, emphasizing the importance of work-life balance, growth mindset, and fostering a collaborative culture. The episode also highlights practical advice for transitioning from IC roles to leadership and the value of internal mobility and user-centric approaches in research.
Guest - Averria Martin, Senior Director, UX Research
Guest Host - Shruti Shrivastava, Director of UX Research00:00 Introduction and Guest Introduction
00:13 Meet Shruti Shrivastava
01:10 Insights on AI in Research
01:51 Interview with Averria Martin
04:48 Work-Life Balance Tips
06:53 Career Advice for Researchers
09:27 Internal Mobility and Culture at ServiceNow
12:47 AI and Research Technologies
18:20 Collaboration and Leadership
26:04 Final Thoughts and ConclusionSee omnystudio.com/listener for privacy information.
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Sitting down with Amrutha Ramesh, visiting researcher at ServiceNow one of the minds behind Agent Ada, a data-focused AI agent, in the latest episode of the podcast. We talk about the gap in enterprise workflows: you upload data, ask questions, and expect clear, data-backed insights… but traditional LLMs weren’t designed for that.
Amrutha clarifies the distinction by explaining how Agent Ada surpasses merely inputting a dataset into ChatGPT or Gemini, employing personas and a library of reusable skills to analyze data in a more human-like manner. We also dig into turning raw analysis into a story and, most importantly, into actionable steps that people in the business can actually use.
Guest - Amrutha Ramesh
Host - Bobby BrillSee omnystudio.com/listener for privacy information.
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Join host Bobby Brill as he sits down with ServiceNow's AI legal and governance experts to break down the complex world of AI regulations. Andrea LaFontain (Director of AI Legal), Ken Miller (Senior Director of Product Legal), and Navdeep Gill (Staff Senior Product Manager, Responsible AI) explain how organizations can navigate the growing landscape of AI compliance.
In this episode, you'll learn about three major regulatory approaches: the risk-based EU AI Act, Colorado's algorithmic discrimination law, and the NIST voluntary framework. The experts discuss practical strategies for complying with multiple regulations simultaneously, using the EU AI Act as a baseline and measuring the delta for new requirements.
Key topics covered:
- Why proactive compliance matters before regulations fully take effect
- How AI Control Tower helps discover and manage AI systems across your enterprise
- The exponential math behind AI compliance (vendors, employees, third parties)
- Setting up governance policies for high-risk AI use cases
- Timeline for major compliance deadlines (Colorado June 2026, EU August 2026)
- The real costs of waiting for your first violationWhether you're managing AI deployment, working in compliance, or trying to understand the regulatory landscape, this episode provides actionable insights on building responsible AI governance infrastructure.
Guests -
Andrea LaFountain -Director, AI Legal
Ken Miller - Senior Director, Product Legal
Navdeep Gill - Staff Senior Product Manager, Responsible AI
Host - Bobby Brill
Chapters:
00:00 Introduction to AI and Regulations
00:45 Meet the Experts
01:52 Overview of Key AI Regulations
03:03 Compliance Strategies for AI Regulations
07:33 ServiceNow's AI Control Tower
14:02 Challenges and Risks in AI Governance
16:04 Future of AI Regulations
18:34 Conclusion and Final ThoughtsSee omnystudio.com/listener for privacy information.
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In this episode, we dive deep into the world of medical referral management with insights from Drew Koerner, Healthcare CTO at ServiceNow, and Elevsis Delgadio, SVP Customer Success at KeenStack. We explore how these two industry leaders are partnering to address the challenges of referral leakage, improve hospital revenue, and enhance patient care through the power of automation and AI. Learn about the evolution of healthcare technology solutions, the role of ServiceNow in streamlining workflows, and how KeenStack builds on these capabilities to revolutionize the healthcare referral process. Don't miss this detailed discussion on how innovative technology is shaping the future of healthcare management.
For more information, visit:
https://www.servicenow.com/products/healthcare-life-sciences.html https://keenstack.com/
Guests: Drew Koerner - Chief Technology Officer, Healthcare at ServiceNow
Elevsis Delgadillo - SVP, Customer Success at KeenStack
Host: Bobby Brill
00:00 Introduction and Guest Welcome
00:28 Meet Drew Koerner: ServiceNow's Healthcare CTO
00:56 Meet Elev Delgado: SVP Customer Success at KeenStack
01:37 Understanding Medical Referral Management
01:53 ServiceNow's Role in Medical Referral Management
03:25 KeenStack's Contribution to Referral Management
04:03 Challenges in Referral Management
05:11 ServiceNow's Workflow Automation in Healthcare
13:55 Leveraging AI for Efficient Referral Management
21:11 Future Roadmap for KeenStack
22:46 OutroSee omnystudio.com/listener for privacy information.
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Dr. Alaina Beaver, ServiceNow's Global Head of Accessibility, is our guest on the podcast to discuss the latest developments in accessibility. Dr. Beaver explains that the world of accessibility is constantly evolving, and it's not a one-time task, but rather an ongoing process. She highlights that ServiceNow has made significant progress in accessibility, particularly with regards to conformance standards.
Publicly, ServiceNow has committed to aligning with the Web Content Accessibility Guidelines (WCAG) 2.2 AA, the most stringent guidelines globally for accessibility conformance. This is an upgrade from the previous standard, WCAG 2.1 AA, which is still adhered to by many legislations worldwide. Dr. Beaver notes that the new standard, WCAG 2.2 AA, was released recently, and it will take time for legislation to catch up.
More about accessibility at ServiceNow –
https://www.servicenow.com/accessibility-statement.htmlTo see ServiceNow’s Accessibility Tools in action -
https://www.youtube.com/playlist?list=PLCOmiTb5WX3q5qCG_QqYip2IZrvao7BwpGuest – Dr. Alaina Beaver, Global Head of Accessibility at ServiceNow
Host – Bobby Brill
00:00 Introduction and Guest Welcome
00:21 Understanding the Importance of Accessibility
00:55 What's New in Accessibility Standards
02:16 ServiceNow's Commitment to WCAG 2.2
04:11 Navigating the Transition to WCAG 2.2
09:12 Legislation and Global Standards
13:13 AI and Voice Input for Accessibility
16:01 Text Adjust: Enhancing Readability
19:31 AI Model Accessibility Checker
22:15 Wrap UpSee omnystudio.com/listener for privacy information.
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Exploring UXR at ServiceNow: Enhancing AI Control and ServiceNow University
In this episode, we delve into the realm of User Experience Research (UXR) at ServiceNow with guests Jesse Livingston, Eric Liu, and Tori Morrison. Eric Liu discusses the advancements and challenges in AI governance and the development of AI Control Tower to help companies manage their AI assets responsibly. Tori Morrison introduces ServiceNow University and its focused approach on enabling users to develop specific skills through personalized learning pathways and innovative tools like conversational AI chat. The episode highlights ServiceNow's commitment to integrating customer feedback into product development and providing robust learning resources to enhance user experiences.
For more information, please read Anand Tharanathan's Article: https://www.servicenow.com/community/in-other-news/how-customer-insights-shaped-servicenow-university-and-ai/ba-p/3317295
And to check out the Product Lab: https://servicenowproductlab.com/
On this episode -
Eric Liu: Sr. Staff UX Researcher, AI/ML
Tori Morrison: Senior UX Researcher
Jesse Livingston: Research Communication Manager
Bobby Brill: Host00:00 Introduction to the Podcast and Guests
00:27 Understanding User Experience Research (UXR)
02:32 Introducing Eric Leo and AI Control Tower
06:44 Challenges and Solutions in AI Governance
12:23 ServiceNow University: Empowering Users
17:40 Personalization and Gamification in Learning
22:42 Conclusion and Further Resources
ServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html
ServiceNow Community: https://community.servicenow.com/community
For general information about ServiceNow, visit: http://www.servicenow.com
See omnystudio.com/listener for privacy information.
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Governing AI – Welcome to AI Control Tower
Episode OverviewGovernance accelerates AI success. Control enables innovation. In this premiere episode, we explore how ServiceNow governs AI at scale through AI Control Tower, a groundbreaking solution that transforms how enterprises manage their artificial intelligence landscape.
Host Bobby Brill brings together three visionary leaders. They reveal the hidden AI sprawl within enterprises. They expose the risks. And they illuminate a path forward - one where governance and innovation dance in perfect harmony, where control mechanisms become the very foundation of sustainable AI transformation.
The Conversation
AI is everywhere. Sometimes visible, often hidden, always expanding. Our experts navigate the complex terrain of enterprise AI governance, from shadow AI implementations that operate beyond IT oversight to the regulatory frameworks demanding immediate attention. Ravi Krishnamurthy, Vice President of Product Management for AI Platform and Responsible AI, unveils AI Control Tower—a solution that brings clarity to chaos. Sampada Chavan, Senior Principal Product Manager, demonstrates how regulatory compliance becomes achievable through systematic governance. Peter Weigt, Sr. Director of Inbound Product Management for Responsible AI, challenges conventional thinking about the innovation paradox and reveals governance as the strategic enabler organizations desperately need.Discovery meets responsibility. Compliance meets creativity. Control meets capability.
Expert Panel
Ravi Krishnamurthy | Vice President of Product Management, AI Platform and Responsible AI
Sampada Chavan | Senior Principal Product Manager, AI Control Tower
Peter Weigt | Sr. Director, Inbound Product Management, Responsible AI
Host: Bobby Brill
00:00 Introduction to Governing AI at Scale
00:31 Meet the Experts
00:54 Hidden AI in Your Enterprise
02:56 Discovery and Responsible AI Practices
11:28 The Innovation Paradox
14:59 AI Control Tower and Governance
19:42 Conclusion and Final Thoughts
Links to AICT deep-dive blogs:
https://www.servicenow.com/community/now-assist-articles/part-0-our-journey-to-the-ai-control-tower-nbsp/ta-p/3280295
https://www.servicenow.com/community/now-assist-articles/part-1-the-gathering-storm-ai-s-rising-tension-nbsp/ta-p/3280309
https://www.servicenow.com/community/now-assist-articles/part-2-the-architecture-of-control-building-the-ai-control-tower/ta-p/3344257
See omnystudio.com/listener for privacy information.
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In this episode, get introduced to ServiceNow's latest offering, Horizon, the source of truth for experience design at ServiceNow, empowering creators to design better enterprise experiences. Joining the conversation are Brian Zaik and AJ Siegel from ServiceNow, who share their insights and experiences with this innovative design system. They discuss Horizon's role as a central resource for designing experiences on the ServiceNow AI platform, making it easier for both seasoned designers and those new to the field.
Brian elaborates on the significance of Horizon as a single destination for all things related to UX design within the ServiceNow ecosystem. He explains how Horizon simplifies the process of creating workflows and applications by offering detailed documentation and interactive examples. AJ adds to the discussion by emphasizing the platform's capacity to enhance user experience and productivity, reflecting on his decade-long journey at ServiceNow and the evolution in UX priorities.
The episode also covers how Horizon integrates AI capabilities into design strategies, providing a resource that remains updated with the latest trends and best practices. Brian and AJ discuss the expected future developments and additional resources that will be added to Horizon, ensuring it stays at the cutting edge of design and technology. Whether you're a developer, designer, or ServiceNow partner, this episode offers valuable insights into leveraging Horizon to create impactful and user-friendly solutions.
Find out more about Horizon - https://horizon.servicenow.com/
Watch on YouTube
Guests:
Brian Zaik - Principal Inbound Product Manager, Design System
AJ Siegel - Director, Design Enablement Strategy
Host: Bobby Brill00:00 Introduction and Guest Introductions
01:37 What is Horizon?
04:07 The Importance of UX in ServiceNow
06:02 Design Systems and Their Impact
12:37 AI Integration in Horizon
22:29 Future Developments and Roadmap
26:58 Wrap upSee omnystudio.com/listener for privacy information.
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Understanding Agentic AI with Rita Castillo In this episode of the podcast, we dive into the fascinating world of Agentic AI with Rita Castillo, VP, Design – AI Platform Experiences. Rita illuminates how AI is becoming seamlessly woven into our daily routines, elevating automation and tackling intricate challenges. Rita deconstructs the shift from deterministic workflows to agentic systems, which can independently manage tasks while upholding ethical and security standards. We uncover the capabilities of Now Assist, the orchestrator, and specialized AI agents that unite to deliver tailored, effective, and reliable solutions. Rita also delves into the future potential of AI to unleash human creativity and propel business metamorphosis. Check out this episode for a profound dialogue on the transformative influence of AI in our professional and personal spheres.
Guest - Rita Castillo, VP, Design – AI Platform Experiences
Host - Bobby Brill00:00 Introduction and Guest Welcome
03:15 Introduction to Agentic AI
05:11 Examples and Applications of Agentic AI
08:12 Autonomy in AI Systems
11:12 Deterministic Workflows and AI Learning
13:16 AI Agents and Orchestrators
17:56 Future of Agentic AI and Ethical Considerations
23:56 Large Scale Applications and Business Transformation
26:37 Conclusion and Final ThoughtsServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html
ServiceNow Community: https://community.servicenow.com/community
For general information about ServiceNow, visit: http://www.servicenow.comSee omnystudio.com/listener for privacy information.
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