Faculty are abandoning campus AI bans on their own, one syllabus at a time, because the bans do not match how they want to use AI in their discipline. At the same time, students are living with AI-shaped grades, advising nudges, and early-alert flags they were never told were happening. Robots & Pencils, an applied AI engineering partner known for high-velocity delivery and measurable business outcomes, today published “Classroom AI Governance,” a three-part, data-driven series that names both patterns and proposes the standard that closes the gap between them. 

Start reading Part 1 now: “Classroom AI Governance: The Detection Default” 

The full series, a 10-minute read, is available now. Each article grounds every claim in named, recent higher-education research rather than opinion. 

1. Part 1, “The Detection Default,” names the reflex to ban and detect and why it is failing faculty. 

2. Part 2, “The Silent Loop,” turns to the student side of the same classroom, showing how AI already shapes grades, advising nudges, and early-alert flags without disclosure. 

3. Part 3, “The Collision Point,” brings both threads into the same room and proposes a two-part standard, disclosure plus a real path to a human, simple enough for a single instructor to adopt without a campus-wide overhaul, and one that echoes the disclosure right the National Student Legal Defense Network wrote into its Student AI Bill of Rights in April 2026. 

Campus AI Policy Runs on Two Disparate Documents 

The series is written for the leaders shaping campus AI policy, from academic affairs to IT, and for the faculty and administrators living with the consequences day to day. Most institutions are working from exactly two documents right now: a campus-wide ban with a detection-tool footnote, and, where it exists at all, a scattered set of IT or Registrar guidance no student ever sees. Neither document accounts for the other, and neither is written by the people standing in the room. 

Classroom AI Governance: Faculty Policy and Student Transparency are One Problem 

Classroom AI governance treats that gap as one problem instead of two, argues series author Lindsay Pineda, Senior Delivery Manager for Education at Robots & Pencils. “Most commentary on AI in education treats faculty policy and student-facing transparency as separate stories, one a pedagogy question and the other a compliance question. This series demonstrates they are the same story, told from two sides of one classroom.” 

Pineda’s research names the pattern from inside the classroom. Jason Lacy, Client Partner, Education at Robots & Pencils, hears the same pattern from the leaders funding governance decisions, and keeps bringing the conversation back to one point: “AI governance shouldn’t be measured by how well institutions enforce policy. It should be measured by whether faculty can teach effectively, students trust the experience, and learning improves. That’s ultimately what higher education exists to do.” 

As institutions move from AI experimentation to enterprise adoption, classroom governance will become one of the earliest indicators of whether AI can be scaled responsibly across the institution. Education leaders ready to design AI governance that faculty trust, students understand, and institutions can confidently scale can request an AI Briefing with Robots & Pencils. 

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FleetHub.AI has been helping transportation and logistics companies simplify fleet operations through connected technology. By bringing together rugged hardware, wireless connectivity, mobile device management (MDM), and mobility solutions into a single ecosystem, FleetHub.AI has focused on one mission: making it easier for fleets to stay connected, productive, and compliant.

Now, the company is taking the next step in that evolution.

Meet E.L.L.A.! FleetHub.AI’s Intelligent Operating Layer. Purpose-built for the transportation industry, E.L.L.A. combines real-time operational data with agentic AI to proactively support drivers, fleet managers, and operations teams. Rather than adding another dashboard or chatbot, E.L.L.A. works behind the scenes, delivering the right information at the right time to help fleets operate more efficiently.

We sat down with FleetHub.AI CEO Marc Lonson, and our own Scott Young to discuss the inspiration behind E.L.L.A., how it builds on FleetHub.AI’s long-term vision, and why intelligent fleet operations are about empowering people, not replacing them.

Question: What inspired you to create E.L.L.A., and why now?

Marc Lonson, CEO Fleethub.AI: FleetHub.AI has always been focused on solving real-world challenges for transportation companies. Every solution we’ve developed has been driven by one question: How can we make life easier for the people who keep freight moving?

I’ve spent many years working alongside fleets and have developed an incredible appreciation for professional drivers. They’re the backbone of our economy, yet they’re expected to navigate increasingly complex technology, regulations, and day-to-day operational demands.

E.L.L.A. grew out of that understanding.

The timing couldn’t be better. Artificial intelligence has matured to the point where it can provide meaningful, contextual assistance, not just answer questions. Combined with the connected platform we’ve built at FleetHub.AI, we now have the ability to proactively support drivers and fleet teams in ways that simply weren’t possible a few years ago.

For us, E.L.L.A. isn’t about introducing AI for the sake of AI. It’s about making every interaction with technology simpler, smarter, and more valuable.

Question: Everyone seems to be adding AI to their products. How is E.L.L.A. different?

Marc Lonson: AI has become a buzzword, and it’s easy to understand why. But simply adding AI doesn’t automatically create value.

What makes E.L.L.A. different is the context.

Because she’s built into the FleetHub.AI ecosystem, E.L.L.A. understands the operational environment she’s working in. Through secure APIs and webhook integrations, she consumes data that’s directly relevant to each fleet, each driver, and each workflow.

That means she isn’t providing generic answers. She’s delivering proactive, real-time guidance that’s specific to what’s happening in that moment.

Whether it’s helping with Hours of Service, inspection readiness, tablet health, or operational workflows, E.L.L.A. quietly works in the background, stepping in only when she’s needed.

That’s why we describe E.L.L.A. as an Intelligent Operating Layer rather than just another AI application.

Question: How does E.L.L.A. fit into the way fleets already operate today?

Marc Lonson: One of our biggest priorities was making sure customers wouldn’t have to change the way they operate.

FleetHub.AI built a connected mobility ecosystem that brings together hardware, connectivity, device management, and operational technology. E.L.L.A. builds on that foundation.

Because she integrates through existing APIs and webhooks, fleets don’t need to replace their current systems or redesign their workflows. Drivers continue using the tools they’re already familiar with, while E.L.L.A. works behind the scenes, connecting information across the platform and providing proactive guidance when it’s most valuable.

Technology should adapt to the customer, not the other way around.

Question: What are the biggest operational challenges E.L.L.A. is designed to solve for fleet operators?

Marc Lonson: Every fleet faces countless operational decisions every day. Many of them are repetitive, time-consuming, and preventable.

Our goal is to remove as much operational friction as possible by giving people the information they need before they have to ask for it.

Today, E.L.L.A. can help fleets by:

• Preventing unidentified driving events before manual intervention is required.
• Providing proactive Hours of Service compliance guidance and parking recommendations.
• Preparing drivers with inspection briefings before inspections begin.
• Monitoring tablet health to identify potential issues before they disrupt operations.
• Delivering an intuitive, context-aware knowledge base that surfaces relevant information exactly when it’s needed.

Individually, those capabilities save time. Together, they reduce administrative workload, improve compliance, minimize downtime, and help drivers stay focused on what matters most, driving safely and efficiently.

Question: How will fleet managers experience E.L.L.A. differently from the software they use today?

Marc Lonson: Traditional software tells you what happened yesterday. E.L.L.A. is designed to help you avoid tomorrow’s problems.

Fleet managers should notice fewer calls back to the office because drivers already have the information they need. They’ll spend less time assigning drive time after unidentified driving events and less time responding to routine operational questions.

Instead of creating another dashboard full of alerts, E.L.L.A. reduces the number of alerts that need attention in the first place.

That’s a fundamentally different experience.

Question: Is E.L.L.A. replacing people or helping them work smarter?

Marc Lonson: That’s an important question because there’s a lot of uncertainty around AI.

The answer is simple; E.L.L.A. isn’t here to replace people.

She’s here to support them.

Think of E.L.L.A. as an intelligent co-pilot that works alongside drivers, dispatchers, safety managers, and fleet operators. She proactively identifies opportunities to help, surfaces relevant information, and reduces repetitive manual tasks so people can focus on higher-value work.

The expertise, judgment, and relationships that make great fleet professionals successful will always come from people. E.L.L.A.’s role is to amplify those strengths.

Question: If fleet operators remember one thing about E.L.L.A., what do you hope it is?

Marc Lonson: I hope they remember why we built her.

Everything starts with the driver.

When drivers have the information they need exactly when they need it, they’re more confident, more productive, and less distracted. That creates a ripple effect across the entire organization.

Safer drivers lead to more efficient operations. More efficient operations lead to better customer service. Better customer service leads to stronger businesses.

If E.L.L.A. improves the driver’s day, everyone benefits.

Question: FleetHub.AI has always focused on simplifying fleet operations. How does E.L.L.A. build on that mission?

Marc Lonson: FleetHub.AI has never been about selling individual products.

We’ve always been focused on building a connected ecosystem for transportation companies.

Our platform brings together rugged hardware, wireless connectivity, mobile device management, and mobility technology into one integrated experience. E.L.L.A. is the intelligence layer that brings all of those capabilities together.

Instead of simply collecting operational data, FleetHub.AI can now help fleets understand that data, anticipate issues, and take action before those issues affect drivers or operations.

That’s where the real value of AI comes from, not replacing existing technology, but making every part of the platform smarter.

Question: What excites you most about what E.L.L.A. will enable for customers over the next few years?

Marc Lonson: This is only the beginning.

One of the things I’m most excited about is learning alongside our customers. As fleets continue using E.L.L.A., we’ll measure the impact she’s having and listen carefully to the challenges they still want solved.

Transportation never stands still, and neither will FleetHub.AI.

We already have exciting ideas for where E.L.L.A. goes next, but we’ll keep those under wraps for now. What’s important is that we’ve built a platform designed to evolve continuously, helping our customers solve today’s problems while preparing them for tomorrow’s opportunities.

Question: From an engineering perspective, what made E.L.L.A. a unique and exciting project to build?

Scott Young: E.L.L.A. sits in a different category from most “add AI to it” products. Most fleet AI tools report to the back office after something already happened. E.L.L.A. had to work the opposite way: catch a problem before it happens, in a cab, with a driver who can’t stop and stare at a screen. That constraint made this fun to build. Voice-first, proactive, event-driven: every decision had to hold up in the real conditions of a moving truck, not a demo environment. Building an agent that acts on its own judgment inside someone’s workday, without asking them to change how they work, is a genuinely hard problem. That’s exactly the kind we like.

E.L.L.A. runs on Amazon Nova 2 Sonic for real-time voice and Amazon Bedrock for reasoning, with AWS Lambda, Amazon API Gateway, and Amazon DynamoDB handling everything in between.

Question: When FleetHub first shared its vision for E.L.L.A., what stood out to your team, and what made you excited to help bring it to life?

Scott Young, EVP of Growth and Strategic Alliances, Robots & Pencils: What stood out from day one was how clearly Marc and Ella understood the real cost of driver friction, drawn from decades spent inside fleet operations, telematics, and device security. They came to us with a clear ask: build a co-pilot that earns a driver’s trust in silence, showing up right when needed and staying out of the way otherwise. That clarity made the partnership work. We knew exactly who we were building for and why it mattered.

Question: Looking back from concept to launch, what are you most proud of, and what makes E.L.L.A. different from other AI solutions entering the market?

Scott Young: What we’re most proud of is that E.L.L.A. was built to work for the driver first, ahead of the back-office dashboard. It acts in the moment: before a violation gets recorded, before hours run out, before an inspection catches a driver off guard. Most AI entering this market is built to inform someone later. E.L.L.A. is built to help someone now, and that timing is the real differentiator.

Looking Ahead…

For FleetHub.AI, E.L.L.A. is more than the company’s latest innovation – it’s the next evolution of its mission to simplify fleet operations through intelligent technology.

By combining connected hardware, wireless connectivity, mobile device management, operational data, and agentic AI into a single ecosystem, FleetHub.AI is redefining how transportation companies interact with technology. Instead of asking drivers and fleet managers to adapt to disconnected systems, the platform works together as one intelligent environment, providing proactive guidance, reducing operational complexity, and empowering people to make better decisions every day.

As the transportation industry continues to evolve, so will FleetHub.AI. And with E.L.L.A. leading the way, the future of fleet intelligence isn’t just connected, it’s proactive, contextual, and built around the people who keep the world moving.

Learn more about Robots & Pencils solutions for transportation and logistics companies.

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Robots & Pencils, an applied AI engineering partner designed for enterprise velocity and measurable business impact, today announced the appointment of Brendan Flynn as Senior Vice President, Strategy within Robots & Pencils’ Studio for Generative and Agentic AI in Bellevue, Wa. Flynn will work with clients to ensure the strategies behind their AI investments scale and deliver the defined business outcomes.

Robots & Pencils has built its business around a solution-delivery flywheel, accelerating the velocity of delivery and client impact with live solutions launching weeks, not quarters. Flynn’s mandate is clear. Deliver the business outcomes for which clients are investing and put the foundation in place for agentic transformation to scale across the enterprise.

A Career Forged in Scale and Speed

Flynn hails from Capgemini, where he led large-scale product engineering and AI transformations for global brands in QSR, hospitality, and enterprise software.

His reputation is built on a rare pairing: the organizational change management expertise to shift how a company works, and the product engineering discipline to make the shift hold.

“Two decades working inside large Global Systems Integrators showed me exactly where the legacy delivery model strains under the demands of enterprise AI,” Flynn said. “That gap is why I’m here. Robots & Pencils was built to close it — and that’s what delivers the outcomes enterprises are chasing.”

Velocity Compounds by Design

The Robots & Pencils operating rhythm compounds by design. Production solutions reach testable market fit in weeks, not quarters, and from there rigorous evaluations turn real usage into the signal that drives learning, optimization, and scale. Flynn’s role is to align that rhythm to how each client runs, so the pace holds once the engagement scales.

“Executives are past the pilot stage. They want to know what changes in the P&L and when,” Flynn said. “Starting from proven patterns moves the conversation from ‘can this work’ to ‘what does this deliver, on what timeline, and what has to change in the organization to keep it running.’”

A Leader Built for This Moment

“Agentic AI enables companies willing to transform how the work itself gets done, not the ones that bolt it on,” said Len Pagon Jr., CEO of Robots & Pencils. “That rethinking takes a strategy set before the first line of code. Brendan has solved that problem before, at real scale. He’s been the client, and he’s been the partner. That combination is rare. Clients feel it in the first conversation.”

Built on AWS. Driven by Outcomes.

Flynn’s appointment follows recent company milestones, including AWS Advanced Tier Services Partner status, one of only 11 inaugural AWS Pattern Partners selected from the global AWS Partner Network, the addition of Robots & Pencils’ Studio for Generative and Agentic AI in downtown Bellevue, and most recently, selection as an AWS BVR (Business Value Realization) Motion Launch Partner.

Robots & Pencils is unabashedly all in on AWS, and Flynn’s strategy work is aimed squarely at helping enterprise leaders get more from their AI investments and more from their investments in AWS.

“Live in weeks vs. quarters change the conversation,” Flynn said. “When a client sees something real in production that fast, the question stops being whether AI works and starts being how fast we can do it again. That is the moment I want to create, over and over.”

Ready to see what applied AI like inside your organization? Request an AI briefing with Robots & Pencils and find out what changes first.

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Robots & Pencils, an applied AI engineering partner known for high-velocity delivery and measurable business outcomes, today announced Jansen Meyers as Senior Vice President of Operations. Meyers joins the executive leadership team to scale delivery capacity, sharpen operational execution, and lay the operational foundation for the company’s next phase of growth.

Meyers brings more than 25 years working with organizations to drive scalability. Most recently, he spent 16 years at Centric Consulting as a partner concentrated on operations, technology and transformation leadership, where he helped enterprise clients and Centric modernize operations and execute company-wide transformations.

“We are focused on client outcomes and accelerating everything we do for our clients. Scaling our operations requires the same emphasis,” said Nathan Carmon, Chief Operating Officer of Robots & Pencils. “Jansen simplifies the complex and designs systems that let exceptional people maintain their focus on outcomes and acceleration, not internal work and systems.”

In his new role, Meyers will oversee internal operations, expand delivery capacity, and engineer the operational backbone behind every Robots & Pencils engagement, the systems that let Velocity Pods take generative and agentic AI live in weeks, not quarters. His leadership will help the company scale with the same agility, craft, and client focus that have defined the company since it was founded in 2009.

“Complexity is easy; efficiency is deliberate. My focus is eliminating drag, so the business moves as fast as its ideas,” said Meyers. “The people here already move like they have done this before. My job is to make sure the processes and systems never get in their way.”

Meyers joins Robots & Pencils as more organizations turn to the company to move generative and agentic AI from pilot to live. His appointment reflects continued investment in the leadership and operational depth behind Robots & Pencils’ AWS Advanced Tier Services Partner and AWS Pattern Partner status, and its record of measurable business outcomes across 175+ clients worldwide.

Interested in a career with Robots & Pencils? View our open positions.

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AWS releases generative and agentic AI services faster than most enterprises can deploy them, and that gap is widening every quarter they wait. In June, the Applied AI Engineering Partner will be on the ground at three AWS Summit events, ready to sit down with enterprise and public sector leaders who are done with pilots and ready to take generative and agentic AI live.

The AWS Summit series is where enterprise technology leaders gather to see what is possible on AWS. As an AWS Advanced Tier Services Partner and one of 11 inaugural AWS Pattern Partners selected from the AWS Partner Network, Robots & Pencils is the nimble, high-velocity alternative to traditional global systems integrators. Every engagement starts with the outcome the client needs and earns it with evidence. Velocity Pods, Robots & Pencils’ atomic delivery units, are small teams of senior practitioners that take AI solutions from concept to production on Amazon Bedrock and Amazon Bedrock AgentCore in weeks, compared to 6 to 12 months with a traditional systems integrator. 

“AWS has built the full-stack agentic AI infrastructure. The technology is ready. What we do is put it to work fast,” said Adrian Bird, VP of AWS Partnership at Robots & Pencils. “We work with your teams to build the business architecture that takes enterprise AI live before the next board meeting.”

“Enterprises don’t need another aircraft carrier full of consultants in the AI era,” said Jeff Kirk, EVP of Applied AI at Robots & Pencils. “They need a speedboat, a forward deployed team small enough to be surgical, senior enough to build for scale with, and fast enough to prove ROI before the next budget cycle.”

What the Robots & Pencils Builds on AWS 

Agentic AI with AWS is the core of the work. AI agents built on Amazon Bedrock and Amazon Bedrock AgentCore that work alongside human teams in live not in a sandbox. 

Cloud Modernization gets organizations off aging infrastructure and onto a serverless, AWS-native foundation built to scale, not just to run. 

Cloud and AI App Development is where engineers and creatives build in the same room, producing cloud-native applications with generative AI in the architecture from day one. 

For enterprise and public sector teams attending any of the three summits, the Robots & Pencils team is ready to talk. 

Schedule time with the Robots & Pencils team:  

• AWS Summit Los Angeles, June 10 

• AWS Summit New York City, June 17 

• AWS Summit Washington, D.C., June 30 – July 1 

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Robots & Pencils, an applied AI engineering partner known for high-velocity delivery and measurable business outcomes, published The Fault Line, a three-part series examining the organizational failures keeping energy AI trapped in perpetual pilot mode. 

Forty percent of utility control rooms will deploy AI-driven operators by 2027, according to Gartner. Yet fewer than seven percent of energy organizations have gone live with even one AI use case, according to IDC and AWS research. The gap between investment and execution continues to widen across the sector. 

The Fault Line argues the problem lives in three specific organizational breakdowns that repeatedly prevent AI from reaching production environments and generating operational learning at scale. Scott Young, EVP of Growth and Strategic Alliances at Robots & Pencils, wrote the series for the energy executive who has approved the budget, built the pilot, and is still waiting for AI to run. 

“Energy executives are moving faster through decisive action that turns AI investment into operational advantage,” said Young. “Every quarter spent in evaluation is a quarter of compounding operational learning moving somewhere else. That is the fault line. And it is solvable.” 

Three Articles. Three Failures. One Compounding Reality. 

Part 1 – Going Live with Energy AI Starts with One Decision. The applications energy executives are waiting on are already ready to deploy. They have been for years. The first article examines the one thing standing between investment and results, and it is not technology. 

Part 2 – Energy AI Operator Trust Is Earned by Design. When AI stalls in the control room, the default explanation is operator resistance. The second article argues that explanation is aimed at the wrong problem entirely and that the organizations making the most progress stopped trying to manage adoption and started doing something else. 

Part 3 – The Energy AI Architecture Decision That Outlasts Every Tool. Most energy organizations are not building AI. They are accumulating it. The third article names the difference between a collection of tools that cannot learn from each other and an architecture that compounds and explains why no one selling AI tools has a financial incentive to close that gap. 

Why This Matters Now 

Investment, urgency, and operational pressure are converging quickly across the industry. The DOE’s Genesis Mission mobilized $293 million to advance AI in grid operations. ERCOT launched a dedicated Enterprise Data and AI organization in January 2026. At the same time, many organizations are adding AI systems faster than they are building the operational foundations required to scale them effectively. 

The Fault Line identifies three areas where that gap consistently appears including executive decision velocity, operator-centered system design, and architectures capable of compounding intelligence across the enterprise. The series also addresses the regulatory and operational realities utility leaders face while advancing AI initiatives within NERC CIP environments. 

Each article stands on its own. Together, the series presents a clear argument for how energy organizations move from isolated pilots to operational AI systems that improve through live deployment. 

“The energy sector is entering a period where AI advantage compounds faster than most executives expect,” Young said. “The organizations deploying now will be operating systems shaped by thousands of hours of real-world learning while others are still refining pilots. The opportunity belongs to the organizations willing to move.” 

Read the Series 

The Fault Line is available now at robotsandpencils.com. Energy executives interested in accelerating AI deployment and operational readiness can request an AI Briefing. 

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Robots & Pencils, an applied AI engineering partner known for high-velocity delivery and measurable business outcomes, today announced the appointment of Saul Delage as SVP, Client Partner, Retail and Consumer Goods (RCG). Based in Chicago, he brings 30 years of experience building executive partnerships and driving growth across some of the most recognized names in digital transformation. Delage joins a proven leadership team at Robots & Pencils with extensive experience delivering for more than 100 of the world’s most recognized consumer brands, including dozens of Fortune 500 companies.

The appointment is a deliberate move. Robots & Pencils is investing with intention in Retail and Consumer Goods, including CPG, eCommerce, Restaurants & Everyday Essentials, and Retail, an industry under mounting pressure to move from AI experimentation into generative and agentic AI that performs in production and delivers measurable business outcomes. Delage will lead client relationships across the vertical, helping enterprise leaders get more from their AI investments and more from their investments in AWS, while strengthening the company’s presence in key markets and building closer, more embedded partnerships with clients.

The Right Leader for the Moment

“Saul is the kind of leader clients trust before the contract is signed and can’t imagine working without after,” said Len Pagon, CEO of Robots & Pencils. “He has worked alongside some of our team before. He knows how we operate, and he knows this vertical inside out. Retail and Consumer Goods is a large growing industry vertical for us, and we went out and got the right leader.”

A Career Built on Trust and Delivery

Delage arrives with a career forged across Cognizant, Isobar, Havas, Razorfish, and Fry, where he built high-performing growth teams, secured long-term relationships with Fortune 500 companies, and earned a reputation as one of the most technically fluent executives in the industry, equally effective in the boardroom and in the details of delivery.

His hire reflects the company tenet that winning in Retail and Consumer Goods requires leadership with deep business experience, the technical fluency to speak the language of AI, and the delivery discipline to back it up.

“Retail and Consumer Goods businesses have made significant investments in AI, and too many have little to show for it in production,” said Delage. “Robots & Pencils builds enterprise AI systems — generative, agentic, and production-ready — that move fast and tie directly to revenue and customer experience. That is exactly what this industry needs right now, and Robots & Pencils is built to deliver it.”

Built on AWS. Driven by Outcomes.

Robots & Pencils is unabashedly aligned with AWS and is building its Retail and Consumer Goods vertical around that conviction. The goal is helping enterprise leaders drive measurable business outcomes on AWS, from first deployment to full-scale production. For AWS co-sell teams and enterprise leaders who need a partner that moves fast and delivers, that commitment is the differentiator.

Ready to move from AI experimentation to AI execution? Request an AI Briefing.

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 Robots & Pencils, an applied AI engineering partner known for high-velocity delivery and measurable business outcomes, today announced the appointment of Adrian Bird as Vice President of AWS Partnership.  

The timing is deliberate. Bird joins as the company deepens its investment in the AWS ecosystem. He will lead the company’s AWS Partner strategy and execution, expanding joint customer engagement, and strengthening alignment with AWS teams. 

Two Decades of AWS and IBM Partnership Leadership 

Bird brings direct experience from AWS, where he was Partner Sales Leader from 2020 to 2026. In that role, he managed comprehensive channel strategy and partner program initiatives across ISVs, global systems integrators, and technology partners, collaborating with AWS field sellers across regions and industries to support joint go-to-market initiatives. He built partner success frameworks that drove exceptional year-over-year growth in partner revenue, created revenue operations tools adopted across multiple AWS business units, and led initiatives that significantly expanded the security partner ecosystem. He earned AWS’s Innovation All-Star recognition in 2024.  

Prior to AWS, Bird spent fifteen years at IBM in progressively senior partnership and alliance roles. He grew the Watson Media worldwide partner channel from inception to more than a third of business unit revenue within two years, scaled the IBM Commerce partner business several-fold over four years, and led the integration of Sterling Commerce’s partner ecosystem following its acquisition, retaining the vast majority of partners while substantially growing combined revenue. He is a recipient of IBM’s Industry Solutions Successful Partnering Award and the IBM 100% Club. 

Accelerating AWS Partnership Strategy 

“Adrian has spent his career building partner ecosystems that generate real, compounding results,” said Scott Young, EVP of Growth and Strategic Partnerships. “Having led partner strategy inside AWS, he knows exactly how AWS field teams operate and what it takes to be a partner they actively bring into deals. That perspective, combined with his track record of execution, is precisely what we need right now. Clients who need enterprise AI at speed will benefit directly from what Adrian builds.” 

“We are unabashedly all in on AWS,” said Len Pagon, CEO of Robots & Pencils. “We have tremendous traction and momentum. Adrian is another key investment in taking our AWS partnership further, faster.” 

Driving Enterprise AI Adoption and AWS Consumption at Scale 

Bird’s appointment builds on recent company milestones including earning AWS Advanced Tier Services Partner status, selection as one of 11 inaugural AWS Pattern Partners globally, and the launch of its Studio for Generative and Agentic AI in Bellevue near AWS headquarters. The company is also actively engaged with AWS through its collaboration with the AWS Generative AI Innovation Center to support joint enterprise initiatives. Bird’s mandate is clear: align partnership strategy with Robots & Pencils’ ability to deploy AI into production at speed and drive measurable AWS consumption and customer value at scale. 

“Robots & Pencils has built what most companies only claim to have. They have the engineering depth, a proven record of deploying AI into production at speed, and the scale to serve enterprise clients globally,” said Bird. “The AWS partnership is the force multiplier that connects those capabilities to the clients who need them most. My job is to make sure that potential becomes performance, for Robots & Pencils, for AWS, and for the clients we serve together.” 

Request an AI briefing to evaluate how applied AI can deliver velocity and impact within your organization.

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Robots & Pencils, an applied AI engineering partner known for high-velocity delivery and measurable outcomes in complex institutional environments, today announced that its CEO, Leonard Pagon, will participate in a panel discussion at the ASU-GSV Summit, a premier global event focused on the intersection of education, technology, and workforce innovation.

As a seasoned operator who has built and scaled technology-driven companies, Pagon will share practical insights on how universities are operationalizing AI across institutional systems while maintaining governance, security, and accessibility.

What Education Leaders Will Learn at ASU-GSV

The panel discussion, “ASU CreateAI Platform. An Enterprise Strategy for Designing AI for Everyone at Scale,” will take place Tuesday, April 14, 2026, from 10:00 to 10:40 AM at the Manchester Grand Hyatt.

Pagon will be joined by Kyle Bowen, Deputy CIO, Arizona State University; Matthew Gee, Director, U.S. Program Data, Gates Foundation; Stephanie Khurana, CEO, Axim Collaborative; and Elizabeth Reilley, Chief AI Officer, University of North Carolina. The panel will be moderated by Lev Gonick, Enterprise CIO, Arizona State University.

The session centers on the real-world mechanics of enterprise AI in higher education, including:

• How institutions connect AI across SIS, LMS, CRM, and operational systems
• Governance models that allow rapid experimentation without losing institutional control
• Real examples that enable non-technical users to design and deploy AI solutions
• The growing role of agentic AI in strengthening institutional resilience and operational efficiency

“A lot of AI activity in higher education is happening at the use case level, which creates fragmentation across the institution.” said Pagon. “The real shift is building platforms that bring those efforts together and make AI work inside everyday institutional constraints. The impact shows up when AI moves from pilots into production systems that perform, with the right guardrails in place.”

Scaling AI Across the University with Governance and Control

Robots & Pencils has worked with with Arizona State University since 2019 on cloud-native architecture, platform modernization, and applied AI initiatives that improve the student experience and strengthen institutional operations. This collaboration has produced practical insight into how universities move from small pilots to enterprise AI programs through platforms that support rapid innovation while maintaining strong governance, security, and accessibility standards.

From Experimentation to Enterprise AI

Institutions are increasingly looking to AI to improve student support, reduce manual processes, and extend staff capacity without increasing headcount. The ASU-GSV Summit brings together entrepreneurs, investors, and education leaders who are shaping the future of learning and workforce development through technology.

Higher education leaders are moving quickly to modernize operations, improve student experience, and prepare graduates for an AI-driven economy. Enterprise AI platforms give universities a structured way to design, deploy, and govern AI solutions across departments while enabling faculty, staff, and researchers to use AI in their day-to-day work with security, compliance, and accessibility built in. This approach enables institutions to scale AI in higher education with clarity, control, and speed.

Robots & Pencils team members will be onsite throughout the April 12 through April 15 event. Education leaders attending ASU-GSV can connect with Robots & Pencils to explore how enterprise AI platforms and applied AI solutions scale across institutions, edtech platforms, publishers, and workforce organizations.

Schedule time with the Robots & Pencils team at ASU-GSV.

The post Robots & Pencils Brings Enterprise AI Platform Expertise to ASU-GSV Summit Panel appeared first on Robots & Pencils.

Across higher education, AI is no longer theoretical. It shows up in advising offices, finance teams, registrar systems, and IT backlogs every day. Not long ago, the conversations felt divisive. Leaders debated risk, approved tools, and moved forward with cautious optimism.  

Today, many of those same leaders are sitting with a different feeling. The systems technically work. Progress feels uneven. Accountability feels scattered. And no one can say with certainty whether the institution is truly advancing or simply carrying new technology without a clear owner of the outcome.  

That uncertainty now lives with presidents, provosts, and CIOs expected to defend AI investment, manage institutional risk, and show results inside universities designed to move carefully, by consensus, and without urgency. The technology is working. The institution is not.  

The gap between those two facts is structural. 

Today, Robots & Pencils, an applied AI engineering partner known for high-velocity delivery and measurable outcomes in complex institutional environments, announces the release of The Institutional Intelligence Crisis, a three-part research series examining why AI adoption fails at the departmental level and what senior leadership must address to change that trajectory. 

Read The Institutional Intelligence Crisis series. 

Drawing on research and operational experience across universities and complex organizations where AI adoption is already underway, the series identifies a set of recurring patterns that appear once AI moves beyond experimentation and into daily operations. 

The series is authored by Jess Martin, Principal Delivery Manager at Robots & Pencils, and is written for university presidents, provosts, CIOs, and boards of trustees. It treats AI adoption as an institutional design challenge, not a technology procurement problem, and focuses on the post-pilot phase: the period where accountability structures and human dynamics determine whether AI becomes a reliable capability or quietly rots. 

“AI doesn’t create accountability problems.” says Martin. ”It exposes the ones you already have.” 

Why AI Governance Fails in Higher Education: Three Failures That Compound 

The series is built around three failures that compound in sequence: 

• The Intelligence Leak (Part 1): When institutions fail to provide operational pathways for AI, high-performing staff build their own, exporting institutional problem-solving logic to personal accounts at third-party vendors. The sector now calls this Shadow AI. The university does not get smarter. The vendor does. When institutions leave a gap between policy and practical access to AI tools, staff close that gap themselves, often outside the visibility of supervisors or institutional governance. 

• The Redistribution of Expertise (Part 2): AI makes institutional expertise portable. The specialized knowledge that senior staff in advising centers, registrar offices, and financial aid departments have spent decades accumulating and making indispensable can now be replicated by a junior colleague and a well-prompted AI. What leadership often experiences as operational friction is frequently a rational response from professionals whose expertise has defined their role inside the institution. 

• The Brittle System (Part 3): When no one is accountable for output quality, performance degrades without announcement. Errors become plausible enough that staff quietly work around them rather than report them. The system continues running while confidence in the results quietly erodes. In many institutions, leaders lack a clear view into whether AI systems are improving outcomes or introducing new operational risk. 

Higher education leaders are encouraged to read the full series and engage with a data-driven perspective grounded in accountability, execution, and institutional readiness. 

The post AI is Live on Campus. Accountability is Not.  appeared first on Robots & Pencils.