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Innovation Meets Impact: Recap of 2026 Oregon Digital Government Summit

At this year’s Oregon Digital Government Summit in Salem, state and local IT and governance leaders gathered to set the strategy for the future of the state’s public infrastructure. The conversations at the event focused on driving digital transformation to address common public sector challenges through practical AI utilization to provide modernized constituent services — all while maintaining trust.

Oregon’s Chief Information Officer, Terrence Woods, echoed this sentiment, “Digital transformation isn’t about systems — it’s about belief. When leaders trust their platforms, innovation accelerates. I look forward to the 16th annual Oregon Digital Government Summit where we can continue collaborating on digital transformation strategies.”

This focus on trust and innovation aligns directly with the expanding AI governance policies and questions public sector leaders are increasingly facing from their teams and the communities they serve.

Laying the Groundwork: Oregon’s AI Governance Framework

Government modernization has evolved from merely digitizing data and cloud migration to turning massive volumes of information into trusted intelligence. To bridge that gap, agencies are rapidly scaling the use of AI in public sector workflows.

Laying the groundwork for responsible AI adoption, Oregon established the State Government Artificial Intelligence Advisory Council and appointed a Chief Privacy Officer and AI Strategist to guide agency adoption. In early 2025, the council published its Final Recommended Action Plan emphasizing transparency, privacy, security and workforce readiness as prerequisites for scaling AI across state government.

Rather than treating AI as a standalone initiative, Oregon is positioning it as part of a broader effort to modernize how information is governed, shared and used to improve outcomes for Oregonians.

Oregon’s Vision for AI in Public Sector Work

In many ways, Oregon’s vision reflects a broader shift occurring across state government: technology is an asset to humans only when deployed responsibly.

During his summit keynote, “How Public Sector Leaders Unlock Collective Genius and Fuel Breakthroughs in the Age of AI,” author Frankie Russo challenged attendees to view AI not as a replacement, but as a “copilot” to unlock human intelligence and impact. This theme echoed throughout the event, shifting the conversation from treating AI as a mere technical tool to leveraging it as a catalyst for collaborative, human-centric innovation.

But as many leaders at the conference agreed, AI requires strong guardrails to remain effective and maintain public trust.

Guiding AI Transformation Through Strategic Governance

State and local leaders in Oregon are recognizing that AI transformation is founded in governance, not just adoption. Compliance is not a barrier to innovation—it is the mechanism that makes it safe and sustainable.

Translating the “copilot” vision from Russo’s keynote into real-world results demands a foundation rooted in integrity. Summit conversations converged on four critical capabilities required to achieve this:

Trustworthy data: Agencies must ensure the content informing AI systems is accurate, current, and securely governed.

Operationalized governance: Policies regarding privacy, retention, and security must be embedded directly into technology platforms, not just written in documents.

Discoverable information: AI cannot generate insights from data it cannot find, analyze, or contextualize.

Transparency and accountability: To protect public trust, AI-assisted decisions must remain explainable, auditable, and subject to human oversight.

As Oregon advances its enterprise AI strategy, long-term success will hinge on these core practices. By establishing a disciplined data foundation today, public sector organizations will find it drastically easier to drive digital innovation responsibly while maintaining public confidence.

Moving Toward Agentic AI and Autonomous Workflows

Strong data governance becomes even more important in the advent of agentic AI and autonomous workflows.

While generative AI focuses primarily on creating content and summarizing information, agentic AI introduces the ability to act, coordinate processes, and execute tasks. As these capabilities mature, the importance of structured, governed and well-managed information environments increases dramatically. Organizations that lack information governance may find themselves automating inefficiency or creating new compliance risks. Conversely, those that secure their data foundations will be well positioned to innovate public services and even strengthen trust.

Empowering Public Servants with Human-Centric AI

Ultimately, the Oregon Digital Government Summit proved that the future of AI in government will not be determined solely by the sophistication of the technology, but by the quality of the governance supporting it.

Oregon’s vision is firmly grounded in a human-centric reality: The goal is not to replace public servants, but to empower them with better tools and sharper insights to improve constituent outcomes.

From cybersecurity and data governance to AI-driven digital service delivery, this year’s summit delivered the peer connections and actionable guidance needed to move your agency’s mission forward.

Continue the work started in Salem by downloading our executive guide to managing organizational change and scaling responsible AI adoption.

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IIMC Recap: Municipal Clerks Drive AI in Local Government Through Real-Time Leadership

There was a time when the role of the municipal clerk was viewed primarily through the lens of records management and meeting administration. That world is gone.

Today’s clerks are operating at the center of some of the most important challenges facing local government: transparency, accountability, cybersecurity, governance, citizen engagement and now AI-driven transformation. The pace of change is accelerating, and the expectations placed on municipal offices are changing just as quickly.

To help professionals navigate these shifting tides, the International Institute of Municipal Clerks (IIMC) Annual Conference brings together leaders from across the globe for intensive professional development and peer collaboration. Capturing the essence of this evolution, keynote speaker Michelle Ray presented “Real-Time Leadership: How to be Ready, Responsive and Relevant in a Radically Changing World.” As an expert in helping organizations embrace accountability amidst disruption, Ray opened the event urging clerks to advocate for their vital roles and reframing them not just as administrators, but as the true “guardians of local democracy.”

“Real-time leadership” is no longer just a leadership concept for municipal clerks; it is becoming an operational requirement.

Legacy Hurdles of Municipal Records Management

Municipalities are under increasing pressure to modernize services while maintaining public trust. Clerks are now expected to respond to public records requests faster, manage growing volumes of digital information, support hybrid and digital-first council operations, and navigate increasingly complex governance requirements often with limited staff and shrinking resources.

While citizens expect private-sector efficiency and instant digital access, the reality on the ground is often defined by operational friction. Many municipalities are still held back by fragmented systems and institutional knowledge trapped in siloed emails or legacy paper files. When information is buried, compliance risks spike, staff burnout skyrockets and leadership inevitably becomes reactive instead of proactive.

This digital disconnect was the defining theme of the conversations our team had with attendees on the IIMC expo floor. Clerks from across the country shared a common frustration: massive amounts of strategic time are consumed by manual records management and meeting prep. One attendee highlighted the staggering reality of tackling a literal “basement of documents”—historical paper files requiring a grueling cycle of scanning, digitizing, and indexing just to maintain public access.

Ultimately, when public servants are bogged down by the weight of these legacy processes, finding the room to step into the strategic leadership Michelle Ray championed can be an uphill battle.

From Strategy to Reality: Deploying a Government Document Management System

This is where the conversation around real-time city leadership becomes deeply practical. For municipal clerks, leading in real time isn’t an abstract concept—it means building the operational capacity to respond quickly and confidently in a constantly shifting environment. It means having visibility into information when it matters, reducing operational bottlenecks and enabling transparent and resilient governance processes.

And increasingly, it means embracing automation, strong data governance and AI responsibly through intelligent content management systems like Laserfiche.

AI in Local Government: From Digital Filing to Intelligent Operations

AI may dominate today’s technology conversations, but for municipal government, the foundation starts with governance.AI is only as effective as the information environment behind it. If records are scattered across systems, metadata is inconsistent, retention policies are unmanaged, or information access is unclear, AI simply amplifies those problems.

That is why content management has become a top strategic priority.

Modern content management platforms are no longer just digital filing cabinets. They are becoming operational systems that help municipalities manage information intelligently, automate repetitive work, strengthen governance and improve organizational responsiveness.

This is where Laserfiche bridges the gap between Michelle Ray’s leadership philosophy and the day-to-day operations event attendees are struggling with. By helping municipalities centralize and govern their content, Laserfiche ensures that information is secure, accessible, and actionable.

Instead of relying on manual processes and fragmented repositories, clerks can automate workflows, streamline records management and improve visibility across departments.

Keynote slide of human hand shaking robot hand

Ultimately, true responsiveness depends on access to trusted data. When public records requests can be fulfilled quickly, when agenda processes are automated, when retention policies are enforced consistently, and when staff can locate the right information without searching across disconnected systems, municipal offices gain the operational agility needed to lead in real time.

Reimagining Efficiency with Automation and Agentic AI

Automation plays a critical role in unlocking capacity. Municipal clerks are often overwhelmed with repetitive administrative work that drains valuable time and institutional bandwidth. By utilizing Laserfiche to automate workflows for records processing, approvals, notifications and document routing, municipalities can dramatically reduce this manual burden.

The goal here is not simply efficiency for efficiency’s sake. Rather, automation creates space for clerks to focus on higher-value leadership responsibilities such as governance, policy coordination, public engagement and strategic modernization initiatives.

And now the conversation is evolving again with agentic AI.

The next phase of AI inside Laserfiche goes beyond generating document summaries or answering simple questions. Laserfiche AI Agents introduce the possibility of systems that can proactively assist users by understanding context, identifying actions, surfacing relevant information, and supporting decision making.

In a municipal environment, which could mean helping staff:

Identify records tied to retention schedules.

Surface documents related to public inquiries

Automate classification and metadata tagging.

Assist with agenda preparation.

Accelerate policy research.

Reduce time spent navigating large information repositories.

Grounding AI in Local Government with Strict Data Governance

Without strong governance, even the most sophisticated AI tools fail. This is why municipal clerks are the natural leaders for this digital transformation. Their role as stewards of transparency, accountability and records integrity is exactly what local governments need as AI adoption accelerates. Real-time leadership in the AI era is not just about moving faster. It is about ensuring municipalities can modernize responsibly while maintaining trust, compliance and transparency.

That requires more than technology implementation. It requires operational readiness.

The municipalities that succeed over the next several years will be the ones that treat information as strategic infrastructure, not just archived content.

And that shift elevates the role of the municipal clerk even further.

The future clerk’s office will not simply manage records; it will drive intelligent government operations. That is why Michelle Ray’s message matters right now. Moving beyond traditional, reactive administration isn’t just about professional growth—it is quickly becoming the definitive blueprint for running an efficient, modern municipal office.

Ready to transform your municipal operations? Laserfiche can help your office eliminate manual bottlenecks, secure your data infrastructure and empower your team with next-generation AI and automation. Explore how public agencies like the City of Acworth are deploying these tools safely and effectively, or take the next step toward real-time leadership by scheduling a custom demo with the Laserfiche team today.

Unlock Your Organization’s Content with AI-Powered Document Management

Empower 2026 Key Takeaways: Intelligent Document Processing with Laserfiche AI Agents

Scott Lingenfelter on stage at Empower 2026

The most useful AI experiences are the ones that fit naturally into the systems and workflows employees already use every day. That’s where AI moves beyond isolated tasks and becomes part of how operational work actually gets done.

At Empower 2026 — Laserfiche’s premier annual conference— we introduced Laserfiche AI Agents, new virtual assistants designed to help teams bridge the gap between manual work and traditional automation. Using the Smart Chat interface in Agent mode, these digital coworkers tap into advanced generative AI reasoning models to analyze content and take meaningful action, all within the secure, governed environment of the Laserfiche repository.

Here’s what that looks like in practice.

Offload Tedious Tasks to AI Agents: Reorganize, Classify, Identify and Extract

Because so much work still gets stuck between manual effort and full automation, teams are often left managing repetitive operational tasks that don’t quite justify building a dedicated workflow. As anyone handling records at scale can tell you, that work multiplies quickly when policies or compliance requirements change, or large sets of records need to be reorganized.

One example we demonstrated at Empower involved the new California Senate Bill 513 (SB 513) that expanded the definition of personnel records to include employee training and education materials. For HR teams, that seemingly small change can create hours of tedious administrative work, from reviewing records to creating new folder structures to moving documents into the right employee files.

With Laserfiche AI Agents, an HR manager can simply use natural language prompts to tell Agents to move training records into matching employee personnel folders and create a new Training and Education subfolder. The Agent analyzes the request, recommends actions and carries out the work while still allowing the manager to review and approve each step before moving forward. With intelligent content management, tasks that previously required hours of manual effort can now be completed in seconds.

That same approach can help simplify a wide range of everyday work across departments:

Reorganizing records and metadata based on updated business policies or compliance requirements

Classifying incoming documents and automatically routing key business information into workflows and business systems

Identifying sensitive information that may require additional review or governance controls

Extracting action items, deadlines and responsibilities from unstructured emails or documents

Improving knowledge discovery through semantic search that understands context, meaning and intent

Individually, these tasks might seem incremental, but together, they can dramatically improve how work moves through an organization.

See an in-depth list of Laserfiche AI Agent capabilities.

Smarter Search for Instant Discovery

The first step in moving work forward is being able to find the right information quickly. Anyone who’s spent time digging through repositories and shared drives knows how frustrating this can be. Most organizations have enormous amounts of information spread across repositories and business systems, but finding what you need often depends on knowing precisely where to look.

Laserfiche’s agentic semantic search helps change that experience. Employees can search based on concepts, intent or meaning rather than relying entirely on exact keywords. For instance, a user can instantly surface vendor agreements related to “indemnification,” even if the document only uses terms like “liability” or “damages.”

The real-world speed of these capabilities was on full display at Empower. Business users configured AI prompts and extraction rules in minutes using natural language instructions instead of traditional technical configuration methods. In one internal onboarding demonstration, AI-powered document and metadata management reduced manual data capture work by 90%.

That accessibility empowers the employees closest to operational bottlenecks to solve them directly, allowing organizations to adapt instantly without waiting for IT support.

None of this works without trust. Laserfiche AI Agents prioritize human review, transparency and auditability, giving organizations total visibility. Agents strictly inherit your existing user permissions and governance policies, so you stay in control of every action.

The Next Phase of Autonomous AI Agents

The next phase of Laserfiche AI Agents will be even more dynamic, context-aware, and autonomous. Today, they help users complete one-off tasks interactively through natural language requests. Soon, process agents will seamlessly embed into existing workflows, replacing complex decision trees—like invoice approval routing—with intelligent automation.

The next evolution of Laserfiche AI will introduce background agents that run autonomously in the background to monitor repositories for specific business signals. For example, a marketing manager can task an agent with tracking files for a specific campaign. Using contextual reasoning rather than rigid keywords, the agent will automatically identify relevant documents the moment they are published and curate them for the team. Information actively helps move work forward rather than sitting inside siloed systems.

At its best, AI should help organizations reduce operational friction, adapt more quickly and give employees more time to focus on meaningful, high-value work. That vision shaped many of the conversations we had at Empower this year, and it continues to guide how we think about the future of work at Laserfiche.

Read more about What’s New with Laserfiche AI Agents or download our new eBook to discover how to drive digital transformation and operational efficiency using AI.

What’s Next for K-12 Education in 2026: Modernizing School Operations and Engagement with AI, Automation, and Seamless Digital Access

As the school year concludes for most, K-12 education stands on the brink of a digital revolution. The rapid evolution of AI agents, automation, and digital platforms is transforming how schools operate, communicate and engage with their communities.

For school districts looking to modernize, these technologies offer not only efficiency, but a more responsive, accessible and student-centered educational experience. Here are three key predictions for what’s next for K-12 education in 2026.

1. AI agents and automation are set to modernize K-12 school operations

As highlighted in the CoSN U.S. State of EdTech Report, a growing number of districts are prioritizing technology to optimize both instructional support and district operations. In 2026, K-12 schools will finally leave paper-heavy, legacy workflows behind in favor of intelligent solutions driven by automation and AI agents. By integrating low-code tools and conversational AI, staff can use simple, natural language commands to streamline everyday operations, such as processing student registrations, managing staff records, or tracking attendance.

With these intuitive platforms, even districts with limited IT resources can quickly customize workflows across enrollment, HR, and records management. Reducing manual data entry and other repetitive tasks will not only acts as a force-multiplier for teams, but also ensure critical data remains secure, compliant and up-to-date.

This shift will mark a significant turning point for schools, as legacy systems and manual workflows are replaced with intelligent solutions that help alleviate administrative burden and staff burnout. Ultimately, AI agents and AI-powered automation empower educators to focus on what matters most: student learning, counseling, and classroom support.

2. Agentic data governance will strengthen school compliance and communication in schools

AI-driven automation will transform compliance from a reactive scramble into a seamless, built-in standard. By integrating intelligent automation into daily operations, districts can establish “set-it-and-forget-it” compliance parameters that run continuously to enforce state and federal K-12 record retention regulations. Administrators will be able to apply automated retention schedules to student, HR, and financial documents—ensuring records are securely stored for their legally mandated life cycles and safely purged the moment they expire.

Beyond document lifecycle management, AI will proactively protect school data and simplify accountability. While smart intake systems tag data upon arrival, AI agents will work in tandem to organize and restructure massive backlogs of files, ensuring appropriate security policies are applied to sensitive information like student records or individualized education programs (IEPs). Concurrently, these platforms will be leveraged to create comprehensive audit trails for every file. This will give school leaders full visibility into who accessed, modified, or moved a document, making annual district audits less stressful. With clearer data tracking and faster access to information, schools will operate more proactively and let educational priorities take center stage.

3. AI-driven accessibility will become the cornerstone of parent and student communication

Parents and students will expect school services to be as seamless and accessible as the apps they use every day. Mobile-friendly portals, real-time updates, and transparent communication will become the foundation of trust between schools and families. Districts that deliver clear, responsive digital experiences will deepen parent engagement and strengthen student relationships.

Cloud-based platforms, low-code automation and intuitive AI agents will help close gaps in digital access, allowing even small or under-resourced schools to modernize quickly. This will create faster, more connected digital experiences that ensure every parent and student, regardless of district size, benefits from a consistent, accessible and trustworthy experience.

Building the Foundation for Tomorrow’s Classrooms

The future of K-12 education is bright — and digital. By embracing AI agents, automation, and seamless digital access, schools can modernize operations, reduce administrative burdens, and foster stronger connections with students and families. This year, districts that invest in intelligent solutions will be best positioned to meet evolving expectations and deliver exceptional educational experiences.

Laserfiche provides intelligent documentation management and automation tools designed to help K-12 education organizations modernize and stay ahead of the demands of 2026 and beyond. By combining smart features that capture incoming data with the newly introduced Laserfiche AI Agents, your staff can effortlessly organize, tag, and rename massive volumes of records using simple, natural language commands.

Explore how Laserfiche can accelerate your institution’s goals this year — click here to learn more or schedule a demo today.

Preparing for AI Governance: Hong Kong’s Compliance Landscape in 2026

Hong Kong’s status as a premier international financial hub is anchored by a foundation of transparency and a robust regulatory framework. However, in the ever-evolving digital landscape of 2026, that foundation is being tested. According to the recent ALB Hong Kong Regulatory & Compliance Summit, rising global geopolitical tensions and a surge in AI-enabled fraud are creating a new breed of cross-border compliance challenges.

At the summit this March, financial experts and cybersecurity leaders gathered to analyze how shifting sanctions and digital crimes are straining institutional protocols. Their consensus was clear: traditional compliance is no longer enough.

The Governance Imperative

With the commencement of the Protection of Critical Infrastructure Ordinance in January 2026, Hong Kong has entered a new era of active enforcement. Compliance is no longer a compliance-by-mandate; it is a critical boardroom priority. With data from the Hong Kong Police Force showing a steady rise in deception cases, regulators are increasingly focused on how AI can be both a weapon for financial crime and a shield for defense.

For businesses in this dynamic digital hub, the conversation has shifted from whether to adopt AI to how to build the tech-driven defenses necessary to withstand this complex regulatory environment. To ensure long-term stability, organizations must transcend traditional advisory roles and embed AI governance as a fundamental pillar of security.

Securing Your Organization

While the advent of AI has led to the rapid sophistication of cybercrime and fraud, organizations can take definitive steps to secure themselves. Following the insights from the 2026 Summit, the priority is to move beyond passive monitoring toward an active defense model.

Key Defense Strategies

1. Combating AI-Enabled Fraud and Financial Crime

As criminals leverage AI for money laundering and cyberattacks, taking the following measures can significantly mitigate your risk:

Establish Smart Policing and Cybersecurity Centers: Move beyond basic IT support by embedding dedicated security hubs within your corporate infrastructure to centralize threat intelligence.

Deploy “AI-to-Catch-AI”: Your compliance framework must utilize machine learning for real-time monitoring of transnational telecom and internet fraud, identifying patterns that are invisible to the human eye.

Prioritize Digital Forensics: Invest in advanced forensic tools to ensure that if a breach occurs, your team can rapidly trace the source and mitigate the imp

2. Privacy by Design: The PDPO and Beyond

While the Personal Data (Privacy) Ordinance (PDPO) —Hong Kong’s primary legal statute for safeguarding individual privacy— remains the bedrock of data protection, the Office of the Privacy Commissioner for Personal Data (PCPD) now emphasizes Ethics-by-Design. This approach mandates embedding ethical considerations and privacy protections into the earliest stages of technological development. Key pillars of this strategy include:

Transparency and Explainability: Organizations are urged to move toward “Explainable AI” (XAI). In sectors like banking and insurance, being able to explain why an algorithm made a specific decision is now a regulatory expectation, not a luxury.

Data Mapping and the GBA: As cross-border data transfers within the Greater Bay Area (GBA)—linking Hong Kong with mainland China—become more frequent, businesses must conduct rigorous data mapping. This creates a detailed inventory of where data originates and how it flows across different legal jurisdictions.

Supplier Due Diligence: Compliance must extend to your partners. Organizations must perform supplier data protection due diligence to ensure that third-party vendors adhere to the same rigorous security standards required by the PDPO.

3. Bridging the Governance Gap: The Evolving Role of the GC

In recent years, the role of the General Counsel (GC) has transitioned from a purely legal function to that of a strategic partner. GCs are now tasked with aligning AI operations with rapidly changing business requirements. To bridge the gap between innovation and oversight, organizations should implement:

Cross-Functional Committees: Establish an AI ethics committee that includes legal, compliance, and technology innovators.

Human Checkpoints: Even the most advanced AI requires “human oversight.” Ensure that high-stakes decisions—especially those involving credit scoring, employment, or legal outcomes—are reviewed by qualified professionals.

4. Navigating Risk and Sustainability Directives

AI does not operate in a vacuum. The 2026 Summit leaders noted that intricate sanctions regimes and trade tensions —particularly between the U.S. and China— are impacting how technology is deployed. Interestingly, AI compliance in 2026 is becoming inextricably linked to ESG (Environmental, Social, and Governance) mandates specifically in these areas:

Algorithmic Fairness: Preventing bias in AI is no longer just a technical goal; it is a social responsibility. Ensuring algorithms do not discriminate is now a key metric in corporate social performance.

Corporate Governance: Boards are expected to translate “responsible AI” from a theory into clear governance standards, ensuring that technological research and development support long-term organizational sustainability.

Resilient Operations: Compliance programs must be recalibrated to handle global volatility. This requires sector fluency—the ability to understand local regulatory nuances while navigating geopolitical shifts.

Beyond Compliance: Shaping the Future of 2026

As Hong Kong accelerates its digital economy ambitions, the winners will be those who view compliance as a “proactive risk management system.” By pioneering legal tech adoption and redesigning service delivery models, firms can turn regulatory hurdles into competitive advantages.

In the words of the industry leaders at the ALB Summit, staying ahead of the curve requires a “comprehensive understanding of both technological advancements and the methods utilized by financial criminals.” By embedding these best practices into your organizational DNA, you do more than adapt to the changes of 2026—you will actively shape it.

For more information on governed-AI, download the eBook now:

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Laserfiche Launches on AWS Marketplace, Bringing Intelligent Content Management to the Enterprise

Organizations can now seamlessly procure Laserfiche document management to support and scale information governance and workflow automation.

LONG BEACH, CALIFORNIA, June 2, 2026 — Laserfiche — the leading SaaS provider of intelligent content management — has partnered with AWS to make Laserfiche available through AWS Marketplace. This collaboration enables AWS customers to seamlessly procure Laserfiche’s document management platform to manage content, automate workflows and implement agentic AI capabilities.

“We’re excited about this evolution of our long-standing partnership with AWS,” said Thomas Phelps, Laserfiche senior vice president of corporate strategy and CIO. “AWS Marketplace provides a near-frictionless experience for Laserfiche direct customers who want to accept negotiated private offers, manage billing and payment history, and apply eligible purchases toward their AWS Enterprise Discount Program (EDP) commitments — all through their centralized AWS account.”

Laserfiche provides document lifecycle management, information governance and workflow automation tools on a platform that earned multiple Champion awards from Info-Tech Research Group. Laserfiche AI features include automatic metadata extraction, document summarization, chat and agentic capabilities.

“Within two weeks of requesting the ability to procure Laserfiche Cloud through AWS Marketplace, Laserfiche confirmed its availability on the marketplace,” said Bianca Lochner, Ph.D., City of Scottsdale CIO. “We appreciate Laserfiche’s swift execution and anticipation of our needs as our business partner.”

“We are thrilled to welcome Laserfiche to AWS Marketplace,” said Carol Potts, AWS General Manager of US ISV Sales. “Organizations in highly regulated industries can now adopt Laserfiche’s intelligent content management and agentic AI capabilities to quickly automate how they organize, govern, and act on critical information at scale. Enabling access to these innovations is how we help customers transform the way they work.”

To learn more, explore AWS Marketplace.

About Laserfiche
Laserfiche is a leading enterprise platform for document management and content-centric workflow automation. Through scalable workflows, forms, no-code templates and AI-enabled capture, the Laserfiche® platform accelerates how business gets done.

Laserfiche pioneered the paperless office with enterprise content management. Today, Laserfiche’s cloud-first development approach incorporates innovations in machine learning and AI to enable organizations globally to transform into digital businesses. Customers in every industry — including government, education, financial services, healthcare and manufacturing — use Laserfiche to boost productivity, scale their business and deliver digital-first customer experiences.

Laserfiche employees are committed to the company’s vision of empowering customers and inspiring people to reimagine how technology can transform lives.

Navigating the Future in K-12 Education Leadership Council: Governance Protects Public Trust

Teacher at desk talking to student and parent

Artificial intelligence has increasingly become a topic of everyday conversation. From film to finance, every industry is contemplating the practical advantages of utilizing AI. For those in K-12 AI leadership, the conversation isn’t just about AI adoption—it’s about digital integrity.

Government agencies, schools, banks and businesses are all beginning to use AI to process information and assist with decision making. At the same time, bad actors are also using these tools to create highly convincing scams, impersonations and misinformation.

That shift raises an important question for public sector leaders. If AI can create such a powerful illusion of reality, how do institutions protect the integrity of their data, processes and reputations?

The answer is governance.

The $5 Million Wake-up Call

Technology discussions often focus on algorithms, models or computing power. Yet the most important factor in responsible AI adoption is not the algorithm itself. It is the framework that governs how information is created, verified and used. Without strong governance, even the most advanced technology introduces risk.

I was reminded of this during a recent conversation with a group of K-12 leaders focused on navigating the future in K-12 education. They were discussing a case in which a school district lost nearly five million dollars in funding due to a sophisticated scam. Artificial intelligence was used to generate convincing communications that appeared legitimate. At first glance it seemed like a cybersecurity failure.

Why It Wasn’t a Cybersecurity Failure

However, the investigation revealed something different. The district’s systems were not breached through a technical vulnerability. The breakdown occurred in the verification process that should have governed how financial requests were approved. The attackers relied on the assumption that the message would move through the system without proper validation. In other words, the technology enabled the deception, but the absence of governance allowed it to succeed.

K-12 AI Leadership: Beyond the Algorithm

This distinction matters because it reframes how government and education leaders should think about AI adoption. Artificial intelligence is not inherently a threat. In fact, it offers enormous potential to help agencies and institutions work more effectively. AI can assist with document classification, automate routine workflows and surface insights hidden inside large volumes of information. These capabilities can free public servants to focus on higher value work that directly benefits citizens and students. But those benefits only materialize when AI operates within a defined governance structure.

“The value of AI in education is quickly undermined when governance is not considered, not taken seriously, or left incomplete. Without clear oversight and accountability, institutions risk poor decisions, unreliable outcomes, and a loss of trust that is far harder to rebuild than the technology itself,” said Council lead Brian Cohen, Vice President of the Center for Digital Government and Center Digital Education.

The Blueprint for Responsible K-12 AI Governance

From a content and information management perspective, that structure begins with documented processes. Information should have clear ownership. Data sources must be trusted and traceable. Retention and access policies need to be consistently applied. Most importantly, human oversight must remain part of the process. AI can assist with interpretation and automation, but accountability cannot be delegated to an algorithm.

When those principles are in place, AI becomes a force multiplier rather than a liability. Agencies can move faster because information flows through repeatable processes. Leaders can trust the outputs because they understand where the data originated and how it was handled. Citizens gain confidence that technology is supporting transparency rather than undermining it.

This is why governance has become the central conversation in responsible AI adoption. Public institutions do not have the luxury of experimentation without safeguards. Their credibility rests on trust, and trust is built through disciplined management of information.

Artificial intelligence will continue to evolve rapidly. New capabilities will emerge that reshape how governments operate and how schools support students. Ultimately, effective K-12 AI leadership isn’t defined by how fast you adopt new tools, but by how firmly you establish the governance that protects your students and your staff. In the end, protecting data, processes and institutional reputation does not start with algorithms. It starts with the rules and responsibilities that guide how information is managed. AI may be the catalyst for change, but governance is what ensures that change strengthens, rather than weakens, public trust.

Learn more about secure AI- powered K-12 document management