In this episode of the AI First Podcast, Jon Herstein, Chief Customer Officer at Box, sits down with Jesse Henning, Library and Information Manager at Argonne National Laboratory, one of the U.S. Department of Energy's premier research institutions. Jesse digs into how Argonne is using AI to accelerate scientific discovery, from streamlining document review and publication workflows to helping researchers surface insights across thousands of technical reports.

Learn how they're balancing the immense potential of AI with rigorous governance, protecting sensitive research from being scooped, and navigating national security and export control requirements. Jesse also discusses the evolving role of research librarians as AI stewards, the importance of keeping humans in the loop, and how a deeply ingrained safety culture at Argonne is shaping responsible AI adoption across the lab.

Key moments:
(00:00) Introduction 
(01:30) The real tension between accelerating discovery with AI and controlling what's exposed 
(02:57) What Argonne National Laboratory actually does 
(04:15) How Argonne makes research publicly available through the DOE 
(05:05) The role of a research library in a national lab 
(05:12) Using Box Hub RAG to analyze 300 technical reports instantly 
(06:35) Handling hallucinations and why "right enough" isn't good enough in science 
(07:51) How AI is freeing librarians to focus on harder, unsearchable questions 
(10:51) The travel policy chatbot: a real-world, non-hype AI win 
(14:46) AI-assisted document review for national security and export control 
(16:47) Amplifying signal-to-noise so expert reviewers focus on actual risk 
(17:31) How Argonne uses AI for content governance without losing human context 
(20:53) What separates AI experiments from true production deployments 
(23:14) Top-down vs. bottom-up AI experimentation and why both are happening 
(26:04) The "key turning in the lock" moment that makes AI believers out of skeptics 
(26:46) Which AI pilots deserve to survive and why curation is the deciding factor 
(29:46) Why librarians were always the original AI stewards

In this episode of the AI First Podcast, Jon Herstein, Chief Customer Officer at Box, sits down with Jeff Chambers, VP of IT Technology at WongDoody an Infosys Company, a global creative technology company. Jeff digs into how WongDoody is using AI to drive innovation, from automating workflows to enhancing digital marketing strategies for global brands.

Learn how they’re balancing the power of AI with strong governance, ensuring security and privacy while embracing new technology. Jeff also discusses the challenges of scaling AI responsibly, the importance of a human-in-the-lead approach, and the impact of AI on their internal culture and processes. 

Key moments:

(00:00) Introduction

(01:04) Jeff Chambers introduces himself and WongDoody

(01:15) What breaks first when scaling AI across an organization?

(01:36) Security and privacy as the primary failure points in enterprise AI adoption

(02:25) The tension between enabling AI experimentation and enforcing governance

(02:47) How WongDoody follows Infosys's ISO 42001 framework to vet AI models

(03:50) Zero trust as the foundation for AI governance and scaling

(04:20) What's allowed, what's restricted, and how it's enforced across geographies

(04:31) Using Box Enterprise Advanced to deploy AI on data in a deliberate, controlled way

(05:49) Managing AI credits, usage tracking, and preventing uncontrolled spend

(05:57) Treating AI credits as an R&D expense and benchmarking models against each other

(08:07) What most organizations are underestimating about AI right now

(08:12) The missing strategy: experimentation lifecycle, change management, and sustained iteration

(09:07) The challenge of model deprecation and the need to continuously maintain AI solutions

(09:35) Why WongDoody recommends against prematurely customizing or fine-tuning models

(10:27) The first controls CIOs need before moving AI from experimentation to production

(10:49) Strategy, change champions, zero trust environments, and defining KPIs

(12:03) Protecting sensitive content in an AI-powered enterprise environment

(12:11) Restructuring user permissions and content access as the foundation for safe AI deployment

(13:13) How AI agents inherit user permissions — and why that creates risk

(14:14) Securing API gateways and monitoring all access points in AI-connected systems

(14:29) Is the concept of zero trust evolving in the age of AI agents?

(14:34) The gap between current AI governance tools and what's actually needed

(15:33) The case for AI agents having built-in guardrails, like employee security training

(15:53) Treating AI agents like new staff — they need training, oversight, and boundaries

(16:26) Defining responsible AI at WongDoody

(16:29) Vetting LLMs for privacy, security, regulatory compliance, and data residency

(17:57) Has AI delivered tangible business value beyond experimentation?

(18:11) Real outcomes: RFP processing, text-to-image generation, and design iteration

(19:53) Unpacking the "human in the lead" concept vs. human in the loop

(20:30) Why continuous human oversight — not just final approval — is essential with AI tools

(21:26) Jeff's most controversial take: the ethical and environmental cost of AI

(21:37) Data centers, energy consumption, and the responsibility of governments and companies

(22:14) Are solutions coming for AI's environmental impact?

(22:53) Closing thoughts and takeaways

In this episode of the AI First Podcast, Jon Herstein, Chief Customer Officer at Box, speaks with Colin Stoner, Chief Innovation and Information Officer at NOVO Construction, about the cutting-edge ways AI is reshaping operations on the job site and in the office. From automating tedious tasks like processing certificates of insurance to improving coordination across multiple teams and projects, Colin explains how technology is driving efficiency and reducing manual workloads.

Learn about NOVO Construction's innovative approach to digital transformation, how they're using AI to streamline construction workflows, and the importance of balancing human expertise with AI capabilities. Colin also shares his insights on overcoming skepticism, embracing change, and building a culture that thrives on new technology.

Key moments:

(00:00) Introduction

(00:58) Colin’s early thoughts on AI and its potential in business settings

(03:01) Administrative pain points and using AI to process certificates of insurance

(04:17) Searchability, system of record, and tying COIs back to projects

(06:04) Check processing, lien releases, and Box Sign automation

(07:45) Job security fears and how AI frees people for higher-value work

(09:09) Knowledge sharing between sites, partners, and the office

(09:28) Moving project content to the cloud and improving governance

(09:54) Building a knowledge graph to connect project records and Box files

(11:14) AI-powered search, answers, and source-based retrieval across project docs

(11:58) Security, permissions, and project-level access control

(13:14) Change management and adapting to AI with patience

(16:06) Why teams should keep experimenting as AI improves

(17:06) Colin’s thoughts on how AI could shape construction in the next 3–5 years

(18:54) Advice for peers: lay the right foundation

(20:56) Security, integration, and using AI carefully

(21:40) Rapid-fire: AI value, culture, and enterprise readiness

In this episode of the AI First Podcast, Jon Herstein, Chief Customer Officer at Box, speaks with Peter Mulford, EVP and Chief Artificial Intelligence Officer at BTS, and Ranjit Pookkottil, Global Head of Global IT and Compliance at BTS about the real journey of AI adoption in enterprise environments. Peter and Ranjeet share their firsthand experience navigating the complexities of integrating AI, overcoming resistance, and driving meaningful change within organizations.

They discuss how AI can alter workflows, from boosting operational efficiency to redefining business outcomes, while emphasizing the importance of trust, governance, and clear communication to make AI a sustainable part of the business transformation process.

Key moments:
(00:00) Introduction
(01:21) Discussing AI adoption versus access with Ranjeet and Peter.
(04:01) AI’s impact on professional identity and team behavior.
(05:34) AI's operational impact in sales, especially CRM and workflow improvements.
(07:59) Key ingredients for scaling AI: clarity, humility, and rapid learning loops.
(10:24) The importance of clarity in problem definition and measurable goals.
(13:06) Embedding AI into workflows for tangible, measurable change.
(15:02) Balancing AI governance with innovation speed.
(18:41) The risks of late governance and the need for early intervention.
(21:27) Data sensitivity and managing cross-client contamination risks.
(23:03) How top-down leadership can stifle innovation in AI adoption (jazz analogy).
(26:42) Deciding whether to scale, pivot, or kill an AI initiative.
(28:54) Closing thoughts

In this episode of the AI First Podcast, Jon Herstein, Chief Customer Officer at Box, speaks with Annie Baymiller, Global CIO and Executive VP at Owens Corning, about the company’s journey into AI-driven transformation. Annie shares how Owens Corning is using AI to streamline operations, improve manufacturing processes, and create a culture of continuous learning and innovation. She zooms into the strategies for overcoming resistance, building scalable AI initiatives, and embedding AI across the organization to drive business value and growth. 

Key moments:

(00:00) Introduction

(01:17) Annie Baymiller’s background and her role at Owens Corning

(03:02) The shift in IT from a utility to a transformative business driver

(04:17) Exploring AI’s impact on industrial companies

(06:29) Leading change at Owens Corning and the importance of AI integration

(09:02) The groundswell of AI ideas and innovation from within Owens Corning

(11:17) Focus on digitizing R&D and integrating technology in manufacturing

(16:37) Deciding when to build or buy AI solutions

(19:37) Organizing AI governance: community of practice and responsible AI

(22:17) Advice for other CIOs in traditional industries adopting AI

(26:56) Closing remarks

In this episode of the AI First Podcast, Jon Herstein, Chief Customer Officer at Box, sits down with Jake McCoy, Chief Operating Officer at RWS Global, to discuss how leveraging AI with purpose can unlock new efficiencies, boost creativity, and elevate human performance across enterprises. From streamlining operations to enhancing creative processes, Jake shares the lessons and principles that guide RWS in turning AI into a true business enabler.

Key moments:

(00:00) Introduction 

(00:22) Jake McCoy's background and role at RWS Global

(04:43) The potential of AI in improving operations and enabling creativity at RWS

(05:46) The necessity of AI in large-scale operations to ensure consistency and mitigate risk

(07:11) Starting with AI in operations to eliminate friction before tackling creativity

(08:22) Addressing challenges in managing decades unstructured content

(09:44) How AI can assist with compliance checks in the cruise industry

(12:08) The importance of maintaining human oversight in AI-assisted processes

(16:25) Why clear communication and developing policies around AI usage is vital

(21:40) How business teams contribute to improving operational workflows through AI

(23:53) "AI for everyone" approach and how to foster broader adoption within the company

(26:13) Leadership responsibility in driving AI integration and maintaining trust

(28:24) Governance around AI tools: shared access and authority to ensure proper use

(30:15) Importance of incorporating guardrails into AI workflows to avoid mistakes

(34:37) Data readiness and the importance of getting the content structure and hygiene right before applying AI

(35:52) Lessons learned about AI implementation and the need to earn the right to automate

(39:44) The future of AI in content management and the implications for industries

(47:34) The role of experiences in evaluating AI impact on both employees and clients

(48:44) Change management tips: building a safe environment for AI adoption across the business

In this episode of the AI First Podcast, Box Chief Customer Officer Jon Herstein sits down with Beena Ammanath, Executive Director at the Deloitte AI Institute, to explore the shift from AI systems that assist us to AI agents that act on our behalf. They discuss how AI agents are reshaping industries, the vital role of governance in ensuring trust and transparency, and why it’s essential for leaders to prepare for the coming wave of AI-driven autonomy.

Deloitte’s Deloitte's 2026 AI report tracking adoption and impact
https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-ai-in-the-enterprise.html 

Key moments:

(00:00) Introduction to AI Reliability

(02:12) Beena’s career background and experience in AI

(03:37) Challenges of applying AI in different industries

(04:55) Beena discusses her books and their focus on AI

(05:43) Trustworthy AI: Emphasis on reliability and transparency

(07:17) Zero Latency Leadership and its relevance

(07:49) Deloitte's AI institute and annual AI reports

(08:52) The slow pace of applied AI adoption vs. technology development

(10:03) Failed AI projects and the importance of user adoption

(11:11) Importance of proactive planning for AI adoption

(11:47) Human-led AI: The need for human involvement in AI decision-making

(12:45) AI in healthcare and the importance of trust

(14:16) Building AI that operates beyond human reliability

(15:45) AI’s mistakes and the potential scale of errors

(16:05) The rise of physical AI and humanoid robots

(19:04) Day one approach: Rethinking business processes from scratch

(22:14) Driving AI fluency and literacy within organizations

(25:41) Incentivizing AI adoption among employees

(27:03) Real-world example of AI tool adoption failure and solution

(29:51) Comfort with AI and its non-replacement of jobs

(30:30) AI enabling tasks previously too cost-prohibitive

(31:43) The importance of both top-down and bottom-up AI efforts

(33:06) Internal hackathons and AI engagement at Deloitte

(35:44) AI governance: How to handle model changes and accountability

(37:10) Importance of company-wide governance for AI

(47:04) Setting a north star for AI value metrics

(50:45) Prediction on AI being seamless without explicit labeling

(51:02) Closing thoughts on AI's future in the enterprise

In this episode of the AI First Podcast, Box Chief Customer Officer Jon Herstein sits down with E.A. Rockett, Adobe's Vice President and Legal CTO, to explore how AI is empowering experts across industries by providing the structure and tools to scale their knowledge. They discuss Adobe's unique approach to AI innovation, including the powerful "A-through-F" framework for evaluating AI use cases and the vital role of ethics in creating a trusted AI foundation.

Key moments:

(00:00) The best prompter for AI is AI itself

(00:34) Introduction to the AI First Podcast with Jon Herstein and E.A. Rockett

(02:14) E.A. Rockett explains his role and the concept of being a legal CTO

(03:23) Motivation behind blending legal expertise with AI innovation at Adobe

(04:23) Accelerating iteration and scaling AI to personalize solutions

(05:32) Adobe’s posture on AI innovation and balancing risks

(06:23) The journey with Firefly and creating safe, licensed models for customers

(07:15) Introduction of the A through F framework for AI governance

(09:01) Internal process for submitting AI use cases for evaluation

(10:09) Creating an enabling, not restrictive, environment for AI use

(11:33) Balancing creativity during hackathons with governance in AI use

(11:56) The role of ethics in Adobe's AI framework

(13:06) Ethics being integrated throughout AI projects, not just at the end

(14:20) Discussing where Adobe draws the line on AI use cases

(16:24) AI’s role in retaining talent and keeping employees engaged

(18:18) Attracting A players by providing access to cutting-edge AI technology

(21:06) The GIFTS framework: scaling expert knowledge through AI

(23:23) Using AI to create expert-level solutions even for non-experts

(29:36) Emerging hybrid roles due to AI, especially in legal and compliance fields

(32:33) Challenges in training junior employees while using AI

(34:06) Overcoming resistance in launching AI projects at Adobe

(42:39) AI unlocking scale in legal and compliance fields

(44:22) Filtering through AI to focus on relevant information

(46:47) Addressing AI risk and AI’s role in supporting human creativity

(50:14) Advice for CIOs and legal leaders behind on AI readiness

(53:30) Closing thoughts on the future of AI and its intersection with legal and tech

(59:04) How Adobe measures success of AI initiatives based on user engagement

In this episode of the AI First Podcast, Box Chief Customer Officer Jon Herstein sits down with Box CIO Ravi Malick to zoom in on the biggest insights from a year of conversations with forward-thinking CIOs and technology leaders.

They reflect on what it really takes to move from AI hype to impact, from laying the groundwork with structured content and scalable governance, to building trust, navigating cultural resistance, and measuring value in a way your CFO will actually buy into.

You’ll hear sharp insights from guests across industries including real estate, healthcare, financial services, and higher ed,  all focused on putting AI to work across content and knowledge workflows.

Key moments:

00:00) Why AI can’t replace human connection and why it shouldn’t
(01:26) Ravi Malick returns to recap the biggest lessons from 2025

(02:23) 2026 is the year to go from pilots to scalable AI

(03:29) 2025’s AI acceleration: funding, models, milestones

(04:29) The fragmentation of strengths across AI providers

(05:29) Consolidated content as the foundation for AI

(08:38) Unlocking unstructured data with metadata and governance

(10:13) Rethinking IT’s role: from gatekeeping to enabling innovation

(12:14) Why guardrails beat gates

(14:21) Shifting from top-down control to bottom-up experimentation

(17:01) Extensible governance models for fast-moving environments

(18:42) The importance of timing, agility, and building AI foundations

(19:32) Why sandboxes matter and how to balance freedom and safety
(20:55) Personal agents vs. hero apps - and what will win

(23:10) Empowering employees through education, not restrictions

(26:07) Cultural shifts: trust, experimentation, and collective learning

(27:31) Why change management is the hardest part of AI adoption

(29:31) Making AI feel like an unlock and not a threat

(31:19) How peer examples and storytelling drive real usage

(33:59) CIOs modeling behavior to build confidence in AI
(38:27) Choosing where not to use AI and keeping it human

(40:30) Measuring impact: outcomes > usage metrics

(41:48) Why ROI must be visible in the balance sheet

(44:05) Real-world impact: AI driving donations and business value

(45:22) Hard questions CIOs need to ask before scaling AI

(47:29) When custom AI platforms fall short and why
(48:21) Scaling what works: from experiments to enterprise-wide rollout

(49:33) Reengineering processes, not just automating tasks

(51:04) AI reliability: from 70% confidence to 90%+ precision

(52:25) The fast lane, the slow lane and how to choose your pace

(52:51) What’s next: AI that teaches you how to use it

(54:28) 2026 predictions: governance, commoditization, and agent adoption

(57:40) Audience Q&A: emotional intelligence in the AI age

In this episode of the AI First Podcast, Box Chief Customer Officer Jon Herstein speaks Robert Entin, Executive Vice President and CIO at Vornado, one of the largest real estate investment trusts in the U.S. Robert shares how AI is helping Vornado transform everything from tenant experience to lease management,  all while preserving the integrity of its iconic New York properties.

From automating rent billing and managing 2 million invoices in the cloud to building AI-ready hubs for loan documents and lease abstracts, Vornado is putting intelligent content at the heart of how the business operates. Robert explains how they're pairing structured metadata with powerful AI tools to extract real-time insights, boost efficiency, and empower knowledge workers.

If you're leading digital transformation, navigating content sprawl, or exploring how AI fits into your enterprise, this episode delivers a candid, deeply informed look at what it takes to lead with technology and make change stick.

Key moments:

(00:00) Reflecting on the early internet era and how AI is evolving differently

(00:56) Introducing guest Robert Entin, EVP and CIO at Vornado Realty Trust

(02:17) Robert’s background and Vornado’s transformation from legacy to AI-ready

(03:35) How Vornado bet big on New York’s Penn District

(05:15) From software engineer to CIO,  Robert’s unique career path

(06:35) Lessons learned transitioning from vendor to internal operator

(08:52) The pace of innovation at Vornado and its leadership’s appetite for change

(09:58) What “transforming real estate through technology” really means

(11:02) From legacy systems to PropTech and smart buildings

(13:15) Building converged networks to support modern building operations

(15:07) Early move to cloud: why Vornado chose Box nearly a decade ago

(17:25) Decommissioning legacy systems and modernizing file storage

(19:27) How cloud content management laid the foundation for AI

(20:56) Automating rent billing and invoice storage with Box

(24:07) Migrating 2 million invoices from legacy to Box with metadata

(25:21) Improving document search and retrieval with Box and Box AI

(26:55) Enhancing tenant experience through the “Live Work Do” app

(28:57) Measuring impact through tenant demand and amenity usage

(30:57) Using Box AI to unlock insights from loans, financials, and earnings call data

(33:03) Automating analyst summaries and accelerating knowledge work

(35:03) The opportunity and challenge of AI for lease abstraction

(38:10) Pairing structured metadata with LLMs for smarter lease insights

(40:33) Challenges with early third-party AI tools and the promise of Box Hubs

(42:07) Building advanced lease metadata templates with Box Apps and Extract

(44:33) Why AI accuracy improves with better structured data

(45:57) Educating execs on why focus and context matter for AI

(47:34) Change management: finding “AI-ready” teams to build momentum

(50:07) Lessons learned from system implementations and user adoption

(52:11) How Robert evaluates when a solution is ready for rollout

(54:05) Balancing business impact with end-user expectations

(55:40) Managing sensitive data and using containerized AI models

(58:10) AI’s role in reshaping knowledge work

(01:00:06) Why business understanding matters more than just tech skills

(01:02:20) Final advice for CIOs: use AI daily and learn how your business runs

In this episode of the AI First Podcast, Box Chief Customer Officer Jon Herstein speaks with Karthik Devarajan, Chief Technology Officer at American Humane Society, the nation's first humane organization dedicated to protecting animals for over 150 years. Karthik discusses how AI is transforming operations across American Humane Society's diverse programs, from disaster rescue to service dog training, enhancing their mission to protect animals at scale.

American Humane Society is using AI to modernize how it manages vast amounts of data across its programs, leveraging technology to identify patterns and assist with critical decision-making. Karthik shares insights into how AI is improving efficiency, including AI-assisted audits, image analysis from rescue operations, and reducing manual processes to save time for staff so they can focus on what truly matters - animal welfare.

Whether you're in the nonprofit space, technology, or operations leadership, you'll find valuable lessons in how to responsibly implement AI to amplify your mission.

Key moments:

(00:00) Introduction to American Humane Society’s 150-year mission
(02:04) Karthik’s role and scope of responsibility at American Humane Society

(05:23) Using AI to amplify animal welfare efforts through data analysis

(08:10) Innovation in a legacy organization

(10:00) AI’s impact on efficiency

(12:29) Applying AI to farm certification and rescue operations

(15:52) Building internal AI champions and fostering a culture of innovation

(18:47) Overcoming skepticism and demonstrating AI’s value through small wins

(20:29) Measuring AI’s impact on time savings and decision-making

(23:10) Using AI for enhanced audits and operational insights

(26:18) Rethinking data management and supporting AI adoption through collaboration

(30:43) How AI aligns with American Humane Society’s core values of compassion and trust

(34:02) Lessons learned from early AI pilots 

(37:52) Scaling AI adoption and using technology to amplify kindness

(42:32) Advice for other nonprofits looking to integrate AI into their operations
(45:12) Managing AI risks through transparency and policy
(48:30) How to maintain trust with staff and stakeholders when adopting AI
(51:01) Key takeaways on balancing innovation with mission
(53:10) The importance of continual learning and iteration in AI adoption
(55:25) Preparing for future AI-driven initiatives in animal welfare
(58:10) Final thoughts on staying mission-driven while embracing AI technology
(59:50) Closing remarks and gratitude for AI’s role in advancing American Humane Society’s mission

In this episode of the AI First Podcast, Box Chief Customer Officer Jon Herstein chats with Graham Link, Chief Technology Officer at Movember, to explore how the organization is using AI to transform fundraising, operations, and global impact.

Movember is modernizing its 20-year-old fundraising platform with AI, accelerating development and improving quality while staying true to its mission and culture. Graham shares practical use cases like self-service employee support, the viral AI-powered mustache generator, and content hubs that connect staff across geographies to Movember’s rich knowledge base. Movember fosters safe AI experimentation through cross-functional governance, strong enablement, and a commitment to responsible innovation.

If you work in tech, nonprofit, or operations leadership, this episode offers a hands-on look at how AI can amplify your mission and scale your impact.

Key moments:
(00:00) Opening thoughts on culture and tough-but-fun projects
(01:22) The Movember mission and how tech supports global health initiatives
(03:07) Graham’s role and the scope of tech at Movember
(04:19) Why AI feels like a “career reset” for seasoned tech leaders
(06:32) How Movember uses AI for engineering efficiency and platform modernization
(08:44) Fun with AI: the mustache generator and supporter engagement
(09:43) Improving internal support with Box Hubs and content search
(12:29) Scaling knowledge access across global teams
(14:35) Exploring translation, SEO, and global content strategy
(15:52) Building a culture of digital transformation and experimentation
(18:47) Navigating change and enabling AI adoption across teams
(20:47) Movember’s cross-functional AI enablement framework
(25:56) Balancing innovation with data governance and cybersecurity
(28:35) Upskilling the workforce for AI literacy and effective prompting
(31:52) New roles in engineering and evolving responsibilities
(34:02) Leadership insights on adapting to rapid tech change
(36:37) A look inside Movember’s AI strategy lens
(39:34) Where AI belongs and doesn’t
(42:32) How Movember measures AI impact across quality and efficiency
(45:32) The power of seamless integrations and connected experiences
(48:01) Emerging AI use cases in fundraising and health initiatives
(50:33) Advice for CIOs and CTOs: frameworks, buy-in, and community learning

In this episode of the AI First Podcast, Box Chief Customer Officer Jon Herstein sits down with Amel Edmond, Chief Information Officer at Withum, to explore how the accounting firm is leveraging AI to transform its internal processes and client services.

Amel discusses how Withum is leveraging AI to automate tax reporting, audit workflows, and administrative tasks, boosting productivity and accuracy while maintaining human expertise in decision-making. He shares the firm’s approach to overcoming AI adoption challenges, fostering innovation, and balancing AI with security, compliance, and trust. 

Whether you're in IT, finance, or professional services, you’ll gain key insights on integrating AI into your workflow and its impact on efficiency and client satisfaction.

Key moments:
(00:00) Introduction to Amel Edmond and Withum
(03:15) AI’s role in transforming accounting and advisory services
(06:45) The journey of automating the 10-99 reporting process
(11:30) Case studies of AI use in auditing and reporting
(16:50) Overcoming resistance to change and fostering innovation
(22:00) The role of AI in driving client satisfaction and employee productivity
(28:20) Balancing AI adoption with regulatory compliance
(34:00) How AI can enable better business insights and decision-making
(39:40) The future of AI in professional services and its potential impacts on firm growth
(44:10) Closing thoughts on leadership and AI strategy in the modern workforce

In this episode, Box Chief Customer Officer Jon Herstein sits down with Dr. Mike Pfeffer, Chief Information and Digital Officer, and Dr. Todd Ferris, Deputy CIO at Stanford School of Medicine, to explore how Stanford is deploying AI at scale, from ambient scribing in patient visits to automating workflows in clinical trials.

Mike and Todd share lessons learned from integrating AI into healthcare environments, the cultural shifts that made it possible, and how they ensure trust and safety in every AI implementation. They explain how Stanford’s unique “firm” framework helps prioritize high-value, mission-aligned AI projects that deliver measurable outcomes.

Whether you work in health IT, operations, or strategy, you’ll take away key insights on how to move from experimentation to enterprise-scale AI with confidence.

Key moments:
(00:00) Meet the leaders behind Stanford Medicine’s AI strategy
(04:01) Automation vs. augmentation in clinical care and research
(08:26) Rolling out ambient scribes across the organization
(13:31) Faculty-driven demand for AI innovation
(18:53) Digitizing analog workflows in clinical trials
(24:45) How Stanford sets AI priorities with its “firm” framework
(30:57) Balancing innovation with trust, safety, and governance
(43:00) Predictive care and precision medicine powered by AI
(52:45) The future of personalized healthcare at Stanford

In this episode, Jon Allen, CIO & CISO of Baylor University, joins Box Chief Customer Officer Jon Herstein to discuss how Baylor balances cybersecurity with AI adoption, from improving workflows to enhancing collaboration. He also explores the challenges of data privacy, security, and preparing students for an AI-first future.

You'll learn about the future of AI in content management, how it’s being used to improve operational efficiency, and how to build a culture that champions both innovation and responsible AI use.

Key moments:

(00:00) Jon Allen’s dual role at Baylor University

(03:10) Defining what it means to be AI-first at Baylor

(07:00) Real-world examples of AI transforming workflows

(12:30) Leveraging AI to enhance collaboration and speed up operations

(18:00) Balancing cybersecurity with AI adoption in higher education

(24:00) The importance of education and transparency in AI adoption

(30:00) Managing data privacy and security challenges with AI

(36:00) Preparing students for an AI-first workforce

(42:00) The future of AI in higher education and content management

(48:00) How Baylor is evolving to support AI-driven innovation

(54:00) Closing thoughts on AI adoption, culture, and strategy in education

In this episode, Philip Irby, CTO at AMH, joins Box Chief Customer Officer Jon Herstein live from BoxWorks 2025 to share how his team built a fully cloud-native platform to manage 62,000 single-family homes. He breaks down how AI drives leasing, maintenance, and communication and why success starts with a relentless focus on the resident.

From replacing legacy systems to deploying conversational AI for real-time support, Irby explains how AMH uses Box to manage unstructured content and scale personalized service across thousands of properties. Whether you're in proptech, operations, or enterprise IT, you’ll take away real lessons in modernizing platforms, integrating AI responsibly, and designing for end users.

Key moments:
(00:00) How AMH uses AI to scale resident experience
(03:15) Replacing legacy tools with Box as a single content platform
(07:30) ‘Let-yourself-in’ leasing and AI-powered customer journeys
(10:20) Meet “Amy”: The virtual agent handling 100% of inbound calls
(13:00) Automating maintenance intake with conversational AI
(17:30) Unifying structured and unstructured data with Box
(20:50) Using Box AI for contract reviews and HOA document search
(26:40) Advice on change management and AI adoption across teams
(30:00) Why discipline, not just technology, drives transformation

In this episode, Ravi Malick, CIO at Box, joins Box Chief Customer Officer Jon Herstein to discuss how Box applies AI to optimize operations, enhance customer experiences, and drive innovation across the enterprise. Ravi also shares real-world examples of how AI is integrated into Box’s own workflows, like streamlining processes, automating tasks, and improving efficiency at scale.

Whether you’re in IT, HR, or another sector, you’ll learn how AI can be a game-changer for your business operations and how to integrate it into your organization for maximum impact.

Key moments:
(00:00) Ravi Malick’s path from CIO to leading AI innovation at Box
(03:10) Leveraging Box to enhance business processes
(07:00) Integrating Box with Salesforce and automating workflows
(10:15) AI-enhanced employee onboarding and faster ramp-up times
(13:40) Leveraging AI in legal contracts to manage metadata and risk
(23:45) Intelligent Content Management: How AI is transforming unstructured data
(36:45) Overcoming the challenges of AI sprawl and governance

In this episode, Stanley Toh, Head of Enterprise End-user Services and Experiences at Broadcom, joins Box Chief Customer Officer Jon Herstein to discuss how Broadcom is integrating AI across various functions. From customer support to employee experiences, they’re managing the challenges that come with AI adoption. 

Stanley shares how AI reshapes workflows, enhancing productivity and creating business value at scale. Whether you’re in IT, HR, or any other field, you’ll learn how to leverage AI to optimize operations and foster innovation.

Key moments:

(00:00) Broadcom's AI vision and Stanley Toh's role in driving innovation

(03:05) Why Broadcom is investing in AI and how it fits into business growth

(08:15) Broadcom’s governance framework for AI adoption

(13:45) Using AI to improve customer support and legal document management

(24:55) Addressing AI sprawl and balancing experimentation with risk management

(36:15) The importance of transparency and trust in AI applications

(41:20) The potential of AI in autonomous IT operations 

(45:40) Final thoughts on how CIOs can evaluate and implement AI tools effectively

In this episode, Matt Lyteson, CIO of Technology Platform Transformation at IBM, joins Box Chief Customer Officer Jon Herstein to discuss how IBM is embracing AI to drive enterprise transformation. From enhancing everyday tasks to reimagining business workflows, Matt shares how they are integrating AI into every part of IBM's operations to empower over 280,000 employees to be more productive and efficient.

Key moments:
(00:00) Introduction to IBM's AI-first transformation

(07:30) Embedding AI into business operations and company culture

(15:00) Generative AI's role in automating business processes

(21:00) Scaling AI adoption and overcoming challenges

(27:30) IBM-Box collaboration: Integrating hybrid cloud and AI

(36:00) Improving user experience with AI-powered solutions

(50:30) Insights on AI, leadership, and the future of work at IBM

In this episode, Stephen Chien, Head of AI Advisor Solutions at LPL Financial, joins Box Chief Customer Officer Jon Herstein to discuss how LPL integrates AI into its advisor ecosystem. From saving time with AI tools, to fostering innovation at scale, Stephen shares insights on AI’s role in revolutionizing client service and business growth. Whether you’re in wealth management or any other sector, you’ll learn how to utilize AI to optimize operations, improve client interactions, and create a competitive advantage.

Key moments:
(00:00) The role of AI in wealth management and advisor empowerment
(03:12) How LPL Financial scales AI across its advisor network
(08:29) Leveraging AI for efficient client interactions and content management
(14:00) Ensuring compliance and data privacy in the age of AI
(18:52) How AI helps LPL advisors save time and boost productivity
(26:11) Challenges and opportunities of AI adoption in a regulated industry
(31:35) What’s next for LPL Financial

In this episode, Kemal Badur, CTO of the University of Chicago, joins Box Chief Customer Officer Jon Herstein to share a pragmatic roadmap for integrating AI into a complex, decentralized academic institution. Explore what it takes to deliver secure, accessible, and impactful AI experiences, while respecting privacy, preserving intellectual property, and building trust across diverse stakeholders. Whether you’re in higher education or a global enterprise, you’ll gain firsthand insights on turning AI ambition into action.

Key moments to listen for:

(00:00) Why humility and transparency matter in AI leadership

(03:28) How to align AI with research, privacy, and academic values

(09:13) Building secure AI infrastructure with vendor partnerships

(13:08) Advice for scaling AI responsibly in a federated environment

(27:39) Why reliability matters more than creativity for agent-based AI

(31:22) What good governance looks like — without over-engineering

(43:31) Value, culture, and experience: defining success in AI transformation