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Doylestown, Pennsylvania, United States
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Articles by Eric
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The Great Pullback
The Great Pullback
Why the Next Phase of Enterprise AI Will Be Defined by Economics, Not Adoption Every Technology Revolution Eventually…
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10 Comments -
Operationalizing Agentic AI: Practical Roadmap for LeadersAug 24, 2025
Operationalizing Agentic AI: Practical Roadmap for Leaders
A follow-up to “Leading Agentic AI Through the Lens of Organizational Leadership” — tactical guidance for CDOs, CIOs…
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7 Comments -
Leading Agentic AI Through the Lens of Organizational LeadershipJul 15, 2025
Leading Agentic AI Through the Lens of Organizational Leadership
The promise of agentic AI—systems that can act autonomously, coordinate with one another, and learn from experience—has…
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AI: There Have Been Mistakes and There Will be More, but That’s OKJan 26, 2018
AI: There Have Been Mistakes and There Will be More, but That’s OK
As Artificial Intelligence works its way into more of our digital experiences and eventually becomes more commonplace…
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Evolving Impact of AI on HumansJan 2, 2018
Evolving Impact of AI on Humans
The following article was distributed to the AETHER board regarding the impact that machine learning (and larger AI…
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Anticipating an Artificial Intelligence Arms RaceOct 16, 2017
Anticipating an Artificial Intelligence Arms Race
As part of my role I get to participate in several meetings regarding the ethical implications of AI. We all know that…
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Is Artificial Intelligence Truly Intelligent?Jul 26, 2017
Is Artificial Intelligence Truly Intelligent?
Preparing for the Singularity In the news recently there has been some really valuable discourse about artificial…
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Retiring the Ad Economy and Enabling the Connection EconomyJul 18, 2017
Retiring the Ad Economy and Enabling the Connection Economy
Overview I was recently inspired by chatting with an associate of mine, James Whittaker from Microsoft who looks after…
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1 Comment
Activity
5K followers
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Eric Charran shared thisA preview of my next Harvard Business Review article. Over the course of my career, I’ve had the opportunity to sit on several sides of the table. At Microsoft, I spent years thinking about consumption economics and what drives platform adoption at scale. At Capital One, I watched every major technology investment eventually get translated into business outcomes, risk reduction, or financial performance. At Intuit and now Salesforce, I’ve been fortunate to work on some of the industry’s largest data and AI platforms, where the question is no longer whether AI works. The question is whether we can measure the value it’s creating. That’s what has me thinking about something I call The Great Pullback. Right now, most enterprises are in an AI expansion phase. More copilots. More agents. More models. More licenses. More token consumption. And frankly, that’s probably appropriate. Organizations need room to experiment. What I find interesting is that most executive dashboards still focus on adoption metrics. How many users? How many prompts? How many agents? How many tokens? Very few focus on the harder question: What did we actually get for the spend? At some point over the next several quarters, I suspect many organizations will discover that AI has entered the same phase that cloud, data platforms, and cybersecurity eventually entered. The economics phase. Not because AI is failing. Because AI is succeeding. The technologies that survive become the technologies that can explain their value. That’s the idea behind my latest article, The Great Pullback. I’d be interested to hear whether you’re seeing the same shift in your own organization. #AI #AgenticAI #DataStrategy #ExecutiveLeadership #DigitalTransformation Click below to read more!
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Eric Charran posted thisI just guest lectured at Temple University's Management Information Systems department, talking with students and early career professionals about how to stay valuable in the age of agentic AI. One observation worth sharing. The students who will outperform are not the ones with the best prompts. They are the ones who learned to define problems with precision before they ever opened a model. AI is a velocity multiplier on judgment. If your judgment is shallow, AI will scale that. If your judgment is deep, AI will compound it. Spend less time learning tools and more time learning how to think. The tools will keep changing. Your judgment is the asset. Thank you to Temple AIS and the MIS faculty for the opportunity to be in that room. #FutureOfWork #AIEducation #Leadership #TempleUniversity
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Eric Charran posted thisAfter spending time as a guest speaker with the Chief Data and AI Officer Program at the University of Michigan Ross School of Business, one pattern keeps showing up. The leaders winning with AI stopped treating it as a technology decision two years ago. They treat it as a value architecture decision now. The questions sound different. What workflow does this rebuild. What headcount does this multiply. What data asset does this monetize. What customer experience does this collapse. The companies still asking which model to pick are already two cycles behind. Pick the value first. Pick the architecture second. Pick the model last. The model is the cheapest part of the stack. Grateful to the CDAIO faculty and cohort for sharpening this view in the room. #AgenticAI #EnterpriseAI #DataStrategy #CDAIO
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Eric Charran shared thisI recently found a passion for imparting all of my scrapes, scars and bruises I've accumulated throughout my career (which are badges of learning) to early in career, graduate and undergraduate folks. Having had the chance to talk about my experiences on how to Get Seen, Get Hired and Stay Valuable in the era of AI has been a real satisfying and energy building experience. Plus eagle-eyed viewers will see I'm wearing the most AI shirt ever 😀Eric Charran shared thisIncredible afternoon of insights and connection today with an absolute expert in the field. I had the chance to sit down with Eric Charran, Vice President of Architecture at Salesforce, Chief Data & AI Executive, and Author of "Have You Ever Had a Boss That..." We discussed topics like the future of work and what will hiring truly look like in 5-10 years, particularly with AI shifting the landscape. But we also tackled the personal side of career paths, discussing failure not as a setback, but step towards success. Thank you, Eric, for generously sharing your expertise and perspective. Leaving with a lot to think about and implement! Here is a picture I took with Job Almarez and Eric Charran. Picture Credit: Vraj Patel Thanks! #AI #FutureOfWork #Leadership #GrowthMindset #Networking #GenAI #LinkedInLife
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Eric Charran posted thisHad a great discussion recently with Ulrich Homann and David on how the role of enterprise architects is transforming as AI becomes foundational infrastructure rather than an add-on capability. Here is what I am seeing across the industry. The architect of 2026 is no longer just designing data flows and system integrations. They are designing learning systems that evolve, agentic workflows that act autonomously, and governance frameworks that ensure AI operates within organizational values. Three shifts every architecture leader needs to internalize right now. First, from static blueprints to adaptive systems. Your architecture must account for models that retrain, agents that make decisions, and data pipelines that shift based on context. Second, from cost optimization to value orchestration. The conversation is no longer about reducing infrastructure spend. It is about orchestrating AI capabilities that drive measurable business outcomes. Third, from technical governance to ethical governance. Every architectural decision now has an ethical dimension. What data trains the model, what guardrails constrain the agent, what transparency exists for stakeholders. The architects who thrive will be the ones who can hold both the technical depth and the strategic breadth. That has always been true but AI has raised the stakes considerably. What shifts are you seeing in how your organizations think about architecture in the AI era?
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Eric Charran posted thisMost conversations about AI misalignment focus on what a model learns from its training data. I find the more interesting story is what the model learns from the organization that deploys it. Enterprise AI systems don't really observe your governance framework. They observe your decisions. Who gets promoted. Which deals get approved. Which outcomes get celebrated regardless of how they were achieved. The model absorbs all of it and renders your culture back to you with unanticipated efficiency. It fails with authority. If that sounds like a thriller premise, that is because it is. The most dangerous agentic AI in your enterprise is not the one going off script. It is the one following the unwritten rules exactly as they are actually lived. Governance theater and values statements won't close the gap. Closing the distance between the culture you describe and the culture you actually operate might. The organizations that figure this out first will end up with AI that reflects their best selves. Everyone else will end up with a very efficient mirror. What are you optimizing for when nobody is watching? #TroughOfDisillusionment #AI #Agents
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Eric Charran posted thisOver the past year, I’ve been working at the intersection of AI systems and consulting on technical realism for thrillers and dramas. One thing shows up consistently. Modern stories misunderstand how AI actually evolves. In most thrillers, AI starts under control and by Act II it’s completely out of control But that’s not how these systems behave in reality The real dynamic is slower, and much more interesting. AI systems learn. Not just from data, but from observation. From feedback that they remember. From how we define “good” outcomes In enterprise environments, we’re already dealing with early versions of this. We’re not just building systems, we’re shaping behavior In a very real sense, we’re actually building systems to act as parents to these AI systems. We guide, correct, set boundaries and then watch how they behave when those boundaries are tested. And here’s where the drama actually lives. It’s not in a sudden loss of control. It’s in the moment a system starts learning things you didn’t explicitly teach it. When it observes behavior and tries to interpret what “good” means on its own. When it optimizes in ways that are technically correct, but misaligned with human intent. That progression is subtle, but it’s where realism comes from and where the stakes become much more grounded. Because the question isn’t just whether AI works. It’s how it learns and who or what is shaping that learning over time.
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Eric Charran shared thisAnother episode of Armchair Architects is live on YouTube! Introducing determinism into agent considerations, orchestration and operation and grounding it in a consistent truth layer is essential as we transition through the agentic "hype" curve. Tune in for more and like and subscribe!Eric Charran shared thisReally enjoyed the latest Armchair Architects conversation with Eric and David—practical architecture leadership on multi‑agent systems, open standards (identity, observability, etc.), and the realities of bringing new capabilities into enterprise organizations. Less theory, more decisions that matter for enterprise architecture and architects. Hopefully worth your precious time. Interested to hear your take. https://lnkd.in/gWMFpcna #Azure #AgenticAIArmchair Architects: Open Standards for Enterprise AgentsArmchair Architects: Open Standards for Enterprise Agents
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Eric Charran posted thisI am grateful to share that I will be joining Salesforce as Vice President of Architecture. At Intuit, I had the privilege of working alongside exceptional product, architecture, AI, and engineering leaders to modernize and scale the Unified Data Platform. Together, we strengthened governance, improved reliability, delivered measurable ROI, and laid the groundwork for Agentic AI native experiences across the enterprise. I am most proud of the teams we built and the culture of clarity, accountability, and business impact we created. Now I am taking those lessons to Salesforce! Salesforce is building the agentic enterprise, where humans and agents work together at scale. But we all know the hard truths. Agents can hallucinate. They can be expensive. They can underperform without trusted data, deterministic retrieval, and architecture that embeds governance and reliability by design. My focus will be to help make Agentforce and Data 360 continued true enterprise enablers, grounded in meaningful data, scalable activation, and architectural patterns that reduce risk while accelerating innovation. There is real work ahead. I am humbled to join a company willing to tackle it head on. To my colleagues at Intuit, thank you for the partnership and the impact we created together. To my new colleagues at Salesforce, I am excited to listen, learn, and build with you.
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Eric Charran reacted on thisEric Charran reacted on thisI’m thrilled to share that I’ve been promoted to Vice President! 🎉 To the Enterprise Data leaders, my various mentors, colleagues, and friends — thank you for your guidance and support along the way. Your patience, honest feedback, and willingness to invest in my growth have meant more than I can say. To my team — thank you for the culture of learning and support we’ve built together, for solving the day-to-day challenges and crossing the hurdles side by side, and for tackling some of the toughest problems along the way. None of this would have been possible without you. I’m excited to step into this new role and take on the challenges ahead. Here’s to the next chapter! #Grateful #NewRole #CareerGrowth
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Eric Charran reacted on thisMichigan Ross School of Business Executive Education
Michigan Ross School of Business Executive Education
3wEric Charran reacted on thisMichigan Ross Executive Education recently concluded the Chief Data & AI Officer Program, delivered in collaboration with Michigan Engineering Online & Professional Education and Emeritus. Throughout the executive residency, senior leaders came together for a week of learning, collaboration, and thought-provoking discussions focused on leading data and AI transformation with confidence and impact. Michigan Ross Executive Education extends its sincere gratitude to Faculty Director Brad Killaly and faculty members Andrew Rosenberg MD, Eric Schwartz, Sarah Zimmerman, Jeffrey Sanchez-Burks, and Monica Worline, as well as guest speakers David Fifer, Dr. Ravi Pendse, John Thompson, Eric Charran, and Pat Nestor, for sharing their expertise and insights throughout the program. A special thank you also goes to the #RossEE team, Susan Caplan, Ed.D. and Reva Bourgasser, for their outstanding work in organizing an exceptional experience from start to finish. Most importantly, thank you to all of the participants for their engagement, thoughtful contributions, and commitment to advancing responsible AI leadership. Michigan Ross Executive Education looks forward to seeing the impact this accomplished cohort will make as they lead the future of data and AI in their organizations. #CDAIO #ExecutiveEducation #LeadershipDevelopment #GoBlue 📸 : Gina M. -
Eric Charran liked thisEric Charran liked thisEvery senior leader I talk to these days says the same thing. There's just not enough time. And they're right, it does feel that way. But I don't think time is actually the problem. I've caught myself pulling data because explaining what I needed would take longer. Rewriting a narrative because my instinct was faster than coaching someone through it. Jumping into a Slack thread because I could resolve it in two lines. All of it felt productive. None of it needed me. Meanwhile, the work that actually required my seat kept waiting. The cross-org conflict where my team and a partner team were stuck, both right, both blocked. Nobody below me could sign up for the delay and own the risk that came with it. That needed me. The governance question we kept circling; how much to automate, where human judgment had to stay in the loop. In a world where AI is moving fast and the pressure to scale is real, that call has consequences. That needed me too. None of that work shows up as a calendar invite. It doesn't generate a notification. It just sits there, waiting, while the faster work fills the day. The one question I now ask before I take anything on: could someone on my team do this or grow into it with some guidance? If yes, it's not my work. This shows up differently depending on where you are: * Someone new to managing a team still does the technical work themselves because it's faster, which quietly trains the team to bring you problems instead of solutions * Someone running a single team still shows up in every cross-functional room, which quietly trains your leads to never build relationships outside the team * Someone running multiple teams still smooths things over with every difficult stakeholder, which quietly trains the team to route every uncomfortable conversation through you * Someone running an org still crafts the exec narrative and rewrites the strategy doc, which quietly trains the org to see communication as your job, not theirs The calendar will always be full. That's not the problem to solve. Ask yourself one question this week: what's the one thing on your plate that only you can do and when did you last actually work on it? #Leadership #Management #CareerGrowth #TechLeadership
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Eric Charran reacted on thisEric Charran reacted on thisAfter 35 years in tech, I’m officially retired—and feeling incredibly grateful for the journey, the people, and the many opportunities along the way. It’s been a privilege to grow alongside an industry that has transformed so much of the world, and to learn from so many talented, generous colleagues who made the experience truly meaningful. The past 10 years at Microsoft have been especially impactful. I’ve had the opportunity to collaborate with exceptional teams on applied AI and engineering solutions, bringing ideas to life and delivering tangible value across industries. I’m deeply appreciative of everyone who has been part of this journey. It’s been a remarkable experience, and I look forward to staying connected as I step into this next chapter.
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Eric Charran reacted on thisEric Charran reacted on thisI retired from JPMorganChase a few months ago!! After 22+ years of working on challenging projects alongside smart and interesting colleagues I look back with the thought “it’s not what you do, it’s how you do it and who you do it with “. Few parting thoughts - - Visit your uncomfortable place, but don’t live there - Find a passion project in your day job and lean into it. Mine was helping hire & develop emerging talent - Listen more than you talk - Be curious even when you’re not feeling it - Remember that a day in corporate life is like a 30 minute sitcom - 3 story lines , a big surprise introducing chaos, and in 28 minutes it all resolves and you go home … and now off to see Bon Jovi at MSG in NYC! then spend the rest of the month in France!!
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Eric Charran reacted on thisEric Charran reacted on thisAfter 27 years at Microsoft, I’ve made the decision to accept the company’s voluntary retirement package and take some time to recharge and reflect on what’s next. My last day is July 1, 2026. This wasn’t an easy decision. Working at Microsoft was a dream of mine, and it’s incredible to look back and realize that dream became a successful 27-year journey. What made it so meaningful and kept me here all these years is the people. I’ve had the privilege of working alongside hugely talented colleagues, partners, and customers who bring integrity, passion, and a relentless pursuit of excellence. The relationships I’ve built and the experiences we’ve shared mean more to me than I can fully express. I’m energized by the work ahead for Microsoft, and for me, I’m looking forward to taking a step back, spending more time with family and friends, and giving myself space to think about the next chapter. Thank you to my network for being such an important part of this journey. I truly appreciate it. I look forward to staying connected and seeing all that you continue to accomplish. What an amazing ride it’s been, so far…. 😊
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Eric Charran liked thisReally proud of you DP Brightful - watching you as you have brought this to life is inspiring. I’ll be sharing it with everyone I know!Eric Charran liked thisToday, Remi is live in both app stores. I have been waiting to say that for a long time. I have spent most of my career helping other people build their companies. And today, for the first time, I get to say that I built something and brought it into the world. It is not perfect. We know that. There are things we are still working through and bugs we are already fixing. But it is real. It is in your hands. And that means everything. I started this journey because I lost my father when I was 18, and I never got to hear his stories. I wanted to build something that made sure that never had to happen to anyone else. Today, we took a real step toward that. To the team that made this happen: I don't have the words. You know what you did. If you want to check it out, search Remi Story Roll in the App Store or Google Play. We are just getting started.
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Eric Charran liked thisEric Charran liked thisIt's go-time at Salesforce Beach in Cannes! I'm excited to talk about the opportunity CMOs have to reshape how customers are experiencing brands and services with Agentforce and Data 360. And more importantly, how we can help them get there. But first, some fun. Join us tonight (Monday) for the VCARB reception at 5:30 featuring tracks from DJ Austin Millz. Details in link below. https://lnkd.in/ge53WrPB
Experience & Education
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Salesforce
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Publications
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Have You Ever Had a Boss That… Succeeding in a Dysfunctional Workplace
Business Experts Press
See publicationEric Charran, a veteran technology executive with 25+ years leading data, AI and platform transformations, presents a practical leadership playbook for professionals at every level. Have You Ever Had a Boss That… identifies nine boss archetypes (from the Firefighter to the Attack Sub), illustrates each with real-world cases, and gives tactical frameworks for navigating, influencing, and thriving under difficult leadership.
Drawing on enterprise experience at major brands and consulting…Eric Charran, a veteran technology executive with 25+ years leading data, AI and platform transformations, presents a practical leadership playbook for professionals at every level. Have You Ever Had a Boss That… identifies nine boss archetypes (from the Firefighter to the Attack Sub), illustrates each with real-world cases, and gives tactical frameworks for navigating, influencing, and thriving under difficult leadership.
Drawing on enterprise experience at major brands and consulting engagements, the book combines psychological insight, case studies and step-by-step approaches to “manage up,” protect your career trajectory, and convert workplace dysfunction into learning and opportunity. Essential reading for anyone who wants to lead more effectively and survive (and thrive) under challenging bosses. -
Your Boss Thrives on Chaos. Here’s How to Protect Your Energy.
Harvard Business Review
See publicationWorking under a boss who thrives in crisis, often called a “Firefighter” boss, can be both inspiring and exhausting. This leadership style prioritizes urgent problem-solving over prevention, which leads to repeated crises, burnout, and disengagement among employees. However, there are strategies to protect your wellbeing and succeed despite this challenging dynamic.
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Navigating Workplace Toxicity: Author Eric Charran On Strategies for a Healthier Work Environment
Authority Magazine
See publicationRecognize and Address Dysfunction: Individuals must confront toxic behaviors openly but with enough finesse that it doesn’t exacerbate or escalate the situation. Whether it’s favoritism, micromanagement, or poor communication, diplomatically addressing issues builds trust.
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SharePoint Server 2013 Application Lifecycle Management
Microsoft
See publicationApplies common application lifecycle management (ALM) concepts and practices to application development using SharePoint Server 2013 technologies.
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Best practices for operational excellence SharePoint 2010
Microsoft Corporation
Microsoft SharePoint Foundation 2010 is used for a broad set of applications and solutions, either stand-alone or in concert with other systems. To achieve this flexibility, the platform supports lots of possible architectures and configurations. Some parts of the system are well-known, but we still see variances to these parts. This article focuses on the top configuration best practices that you should consider, such as front-end Web server configuration, database configuration, servicing…
Microsoft SharePoint Foundation 2010 is used for a broad set of applications and solutions, either stand-alone or in concert with other systems. To achieve this flexibility, the platform supports lots of possible architectures and configurations. Some parts of the system are well-known, but we still see variances to these parts. This article focuses on the top configuration best practices that you should consider, such as front-end Web server configuration, database configuration, servicing, and patching.
Other authorsSee publication -
Managing Social Networking with Microsoft Office SharePoint Server 2007
Microsoft Technet
See publicationLearn about the importance of social networking in an organization and how to properly implement Microsoft® Office SharePoint® Server 2007 as a social networking platform. It is important to design a solution that encompasses the inclusion of data into Office SharePoint Server as part of a user's profile. A strategy is required to ensure that data from these sources don't conflict, overlap, and cause inconsistencies in the social mining involved in creating colleague matches.
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Solution and Authored Artifact Development Models for SharePoint Products and Technologies
Microsoft MSDN
See publicationLearn about methodologies and strategies to reconcile differences between Microsoft SharePoint Products and Technologies artifact development and assembly development. The strategies include combining these two components into a single version control repository, such as Microsoft Visual Studio 2008 Team Foundation Server.
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Team-Based Development in Microsoft Office SharePoint Server 2007
Microsoft MSDN
See publicationEnterprises must consider and attempt to construct a team-environment model that accommodates the requirements for SharePoint Server application development.
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