September 16, 2025

By Elizabeth Tucker–

Many of us lacking experience with Artificial Intelligence (AI) find it unnerving. There is the prospect that it can do everything we do, only better—or at least adequately and cheaper. “You won’t be replaced by AI; you’ll be replaced by someone who knows how to use AI better,” quoted Irvington Superintendent Mara Rasevic in a recent conversation. If AI is changing the contours of the workforce, then schools need to train students to use it effectively. The American Federation of Teachers (AFT) this summer established the National Academy for AI Instruction so that teachers can stay on top of their new responsibility to impart AI literacy and also learn how to employ it to make their own working routines more efficient. The AFT has also published Commonsense Guardrails for Using Advanced Technology in Schools, now already in a revised edition.

Jerrod Blair, Director of Technology and Integration in the Irvington school district, articulated an overview of how teachers there are using AI. “Some teachers are exploring how AI can save time on routine tasks, like generating practice questions, lesson ideas, or feedback prompts, so they can focus more on engaging with students,” he said. “Others are experimenting with AI as a discussion starter in class, for example, asking students to evaluate an AI-generated response for accuracy, bias, or completeness.”

Many districts, including those in the rivertowns, are using the AI teaching platform MagicSchool. Hastings has introduced it at the elementary level. In Sleepy Hollow, according to Technology Integration Specialist Jean O’Brien, AI is being used in instruction from elementary to high school and in math and science classes as well as in the humanities.

At Sleepy Hollow High School, social studies teacher Alyson Nawrocki finds MagicSchool especially useful in providing students individualized feedback on their writing. “The AI feedback is never in place of teacher feedback,” Nawrocki says, “but it’s useful as a checkpoint if I’m conferencing with another student so the rest of the class can keep working productively.”

MagicSchool assesses students’ writing according to Nawrocki’s own rubric. For example, under “thesis,” the AI software might opine that the writing is clear but too general, or under “analysis,” it might note that the writing successfully reports what happened but needs to explain why those events mattered. Students can revise on their own and then submit a final version to Nawrocki to read.

Another feature MagicSchool offers is a text leveler, which adjusts a text for different reading levels. Blair says, “This doesn’t replace the original text, but it gives teachers another way to ensure that every student can engage meaningfully with the material. For example, a teacher might provide the original text alongside a leveled version so that students can build confidence and gradually work toward the more complex version.”

MagicSchool’s character chatbot allows students to engage in conversation with figures from history. In Nawrocki’s class, students interviewed a World War I soldier about his experience. In another assignment, her students were assigned to read an article about early human migration into North America and then, using details learned from the reading, instruct the image-generating Canva AI to create a magazine cover picturing its contents.

When asked about the technology’s drawbacks, Nawrocki allows that “some students begin to rely too heavily on AI. This can discourage them from taking creative or intellectual risks, which are essential parts of the learning process.”

Then, of course, there is the temptation to use AI to fabricate homework assignments. To counteract this, Nawrocki says, “I no longer assign traditional ‘original’ homework that could easily be completed by a tool. Instead, I design assignments that require students . . . to show their thinking process. . . .The focus is less on producing a polished product at home and more on engaging in authentic skill-building that can be observed and assessed directly.” She might ask her students to relate their homework to the day’s lesson or illustrate historical processes in a drawing or diagram, rather than answer a straight question in writing, as would lend itself to generation by AI.

According to Jerrod Blair, many Irvington teachers as well “are thoughtfully adapting their assignments to reflect the reality that students have access to AI. This doesn’t mean starting from scratch; instead, it’s about asking deeper questions, emphasizing process and critical thinking, and creating opportunities for students to demonstrate their learning in multiple ways.” But also, Blair says, “the district sees this as an opportunity to teach students how to use emerging technologies ethically.”

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DRUID AI today announced it has secured $31 million in Series C financing to advance the global expansion of its enterprise-ready agentic AI platform under the leadership of its new CEO Joseph Kim. The strategic investment – which will advance DRUID AI’s mission to empower companies to create, manage, and orchestrate conversational AI agents – was led by Cipio Partners, with participation from TQ Ventures, Karma Ventures, Smedvig, and Hoxton Ventures.

“This investment is both a testament to DRUID AI’s success and a catalyst to elevate businesses globally through the power of agentic AI,” said Kim. “Customer success is what it’s all about, and delivering real business outcomes requires understanding companies’ pain points and introducing innovations that help those customers address their complex challenges. That’s the DRUID AI way, and now we’re bringing it to the world through this new phase of global growth.”

Roland Dennert, manager partner at Cipio Partners, a premier global growth equity fund, explained: “At Cipio Partners, we focus on supporting growth-stage technology companies that have achieved product-market fit and are ready to scale. DRUID AI aligns perfectly with our investment strategy – offering a differentiated, AI-based product in a vast and rapidly growing market. Our investment will help accelerate DRUID AI’s expansion into the U.S. and elsewhere, fuel further technological advancements, and strengthen its position as a global leader in enterprise AI solutions. We are excited to partner with DRUID AI on its journey and look forward to supporting the company in shaping the future of enterprise AI-driven interactions.”

Kim’s proven track record in leading high-performance teams and scaling AI-driven technology businesses ideally positions him to spearhead that effort. He has more than two decades of operating executive experience in application, infrastructure, and security industries. Most recently, he was CEO of Sumo Logic. He serves on the boards of directors of SmartBear and Andela. In addition, he was a senior operating partner at private equity firm Francisco Partners, CPTO at Citrix, SolarWinds, and Hewlett Packard Enterprise, and chief architect at GE.

DRUID AI cofounder and Chief Operating Officer Andreea Plesea, who had been interim CEO, commented: “I am delighted Joseph is taking the reins as CEO to drive our next level of growth. His commitment to customer success and developing the exact solutions customers need is in total sync with the approach that has fueled our progress and positioned us to raise new funds. Joseph and the Series C set up DRUID AI and our clients for expanded innovation and impact.”

The appointment of Kim as CEO and the new funding come on the heels of DRUID AI earning a Challenger spot in the Gartner Magic Quadrant for Conversational AI Platforms for 2025. This is just the latest development validating the maturity of DRUID AI’s platform and its readiness to deliver business results in a market that is experiencing rapid advancement and adoption.

In 2024, DRUID AI grew ARR 2.7x year-over-year. Its award-winning platform has powered more than 1 billion conversations across thousands of agents. In addition, the DRUID AI global partner ecosystem has attracted industry giants Microsoft, Genpact, Cognizant, and Accenture.

DRUID AI is trusted by more than 300 global clients across banking, financial services, government, healthcare, higher education, manufacturing, retail, and telecommunications. Leading organizations such as AXA Insurance, Carrefour, the Food and Drug Administration (FDA), Georgia Southern University, Kmart Australia, Liberty Global Group, MatrixCare, National Health Service, and Orange Auchan have adopted DRUID AI to redefine the way they operate.

Companies have embraced DRUID AI to help teams accelerate digital operations, reduce the complexity of day-to-day work, enhance user experience, and maximize technology ROI. Powered by advanced agentic AI and driven by the DRUID Conductor, its core orchestration engine, the DRUID platform enables businesses to effortlessly deploy AI agents and intelligent apps that streamline processes, integrate seamlessly with existing systems, and fulfill complex requests efficiently. DRUID AI’s end-to-end platform delivers 98% first response accuracy.

“At Georgia Southern, we recognized that to truly meet the needs of today’s digital native students, we needed to offer dynamic and accurate real-time support that would solve their issues on the spot,” said Ashlea Anderson, CIO at Georgia Southern University. “By leveraging DRUID AI’s platform, we’ve created personalized and intuitive experiences to support students throughout their academic journeys, increasing enrollment and student retention. The result is a more efficient, connected campus where students feel supported, engaged, and better positioned to succeed.”

To learn more, visit www.druidai.com.

About DRUID AI

DRUID AI (druidai.com) is an end-to-end enterprise-grade AI platform that enables lightning-fast development and deployment of AI agents, knowledge bases, and intelligent apps for teams looking to automate business processes and improve technology ROI. DRUID AI Agents enable personalized, omnichannel, and secure interactions while seamlessly integrating with existing business systems. Since 2018, DRUID AI has been actively pursuing its vision of providing each employee with an intelligent virtual assistant, establishing an extensive partner network of over 200 partners, and servicing more than 300 clients worldwide.

A key technology leader at the Department of Veterans Affairs told lawmakers Monday that the agency intends to “capitalize” on artificial intelligence to help overcome its persistent difficulties in providing timely care and maintaining cost-effective operations. 

At the same time, a federal watchdog warned the same lawmakers that the VA could face challenges before the agency can effectively do so. 

Lawmakers on the House VA subcommittee on technology modernization pressed Charles Worthington, the VA’s chief data officer and chief technology officer, over the agency’s plans to deploy AI across its dozens of facilities as the federal government increasingly turns to automation technology. 

“I’m pleased to report that all VA employees now have access to a secure, generative AI tool to assist them with their work,” Worthington told the subcommittee. “In surveys, users of this tool are reporting that it’s saving them over two hours per week.”

Worthington outlined how the agency is utilizing machine learning in agency workflows, as well as in clinical care for earlier disease detection and ambient listening tools that are expected to be rolled out at some facilities later this year. The technology can also be used to identify veterans who may be at high risk of overdose and suicide, Worthington added. 

“Despite our progress, adopting AI tools does present challenges,” Worthington acknowledged in his opening remarks. “Integrating new AI solutions with a complex system architecture and balancing innovation with stringent security compliance is crucial.” 

Carol Harris, the Government Accountability Office’s director of information technology and cybersecurity, later revealed during the hearing that VA officials told the watchdog that “existing federal AI policy could present obstacles to the adoption of generative AI, including in the areas of cybersecurity, data privacy and IT acquisitions.” 

Harris noted that generative AI can require infrastructure with significant computational and technical resources, which the VA has reported issues accessing and receiving funding for. The GAO outlined an “AI accountability framework” in a full report to solve some of these issues. 

Questions were also raised over the VA’s preparedness to deploy the technology to the agency’s more than 170 facilities. 

“We have such an issue with the VA because it’s a big machine, and we’re trying to compound or we’re trying to bring in artificial intelligence to streamline the process, and you have 172 different VA facilities, plus satellite campuses, and that’s 172 different silos, and they don’t work together,” said Rep. Morgan Luttrell, R-Texas. “They don’t communicate very well with each other.” 

Worthington said he believes AI is being used at facilities nationwide. Luttrell pushed back, stating he’s heard from multiple sites that don’t have AI functions because “their sites aren’t ready.”

“Or they don’t have the infrastructure in place to do that because we keep compounding software on top of software, and some sites can’t function at all with [the] new software they’re trying to implement,” Luttrell added. 

Worthington responded: “I would agree that having standardized systems is a challenge at the VA, and so there is a bit of a difference in different facilities. Although I do think many of them are starting to use AI-assisted medical devices, for example, and a number of those are covered in this inventory,” in reference to the VA’s AI use case inventory. 

Luttrell then asked if the communication between sites needs to happen before AI can be implemented. 

“We can’t wait because AI is here whether we’re ready or not,” said Worthington, who suggested creating a standard template that sites can use, pointing to the VA GPT tool as an example. VA GPT is available to every VA employee, he added. 

Worthington told lawmakers that recruiting and retaining AI talent remains difficult, while scaling commercial AI tools brings new costs. 

Aside from facility deployment, lawmakers repeatedly raised concerns about data privacy, given the VA’s extensive collection of medical data. Amid these questions, Worthington maintained that all AI systems must meet “rigorous security and privacy standards” before receiving an authority to operate within the agency. 

“Before we bring a system into production, we have to review that system for its compliance with those requirements and ensure that the partners that are working with us on those systems attest to and agree with those requirements,” he said. 

Members from both sides of the aisle raised concerns about data security after the AI model had been implemented in the agency. Subcommittee chair Tom Barrett, R-Mich., said he does not want providers to “leech” off the VA’s extensive repository of medical data “solely for the benefit” of AI, and not the agency.