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Ideas Behind the Impact

Article

From Hype to ROI: What’s Actually Working in Enterprise AI

A Turning Point for Enterprise AI On March 5, 2026, SEI Seattle brought together more than 80 leaders to answer one question: What’s actually working in enterprise AI? “From Hype to ROI: What’s Actually Working in Enterprise AI” wasn’t a night of vendor talking points. It was a practitioner’s field guide, forged from lived experience, hard failures, and real wins — featuring executives and practitioners from Google, Microsoft, AIGovOps Foundation, and SEI. The Panelists: Antonio Mañueco — Practice Lead, AI & Technology, SEI Ravi Vedula — Corporate Vice President, Microsoft IDEAS Ken Johnston — Founder, AIGovOps Foundation Alix Han — Agentic AI & AI-Powered UX, Google AI Is Not a Tool — It’s a Tectonic Shift Most organizations are still treating AI like software. Something to layer onto existing processes. That’s where things break down. Only 5% of AI pilots deliver meaningful impact. Not because the technology fails, but because the approach does. “If you’re looking at AI as a tool, you’re missing a giant mark. Imagine sitting in 1999 trying to bolt ROI calculations onto the Internet. You would have absolutely missed the mark.” — Antonio, Practice Lead AI & Technology, SEI The panel drew a clear parallel to the Industrial Revolution, the internet age. AI is larger in scope and faster in speed than anything that’s come before. Ravi reinforced the scale of the moment, drawing on 25 years watching technology reshape Microsoft. “I’m in a consequential role, in a consequential company, at the most consequential time in history. How could you not be excited? And if you’re not also a little terrified, you’re living under a rock.” — Ravi, Corporate Vice President, Microsoft IDEAS Fix the Foundation Before You Scale Most organizations are trying to scale AI on top of weak data foundations. Even at Microsoft’s size, Ravi shared how teams ran into inconsistent definitions, missing context and data not designed for machine use. “Data is the fuel for AI. Most companies never actually invested in it. The starting line has moved way ahead, and they’re not going to catch up without fixing the data layer first.” — Ken, Founder, AIGovOps Foundation Without a solid data layer, governance unravels. Ken shared two real-world cases, not born of bad intentions, but of inadequate structure:  Litigation revealed that an insurer’s human-review step averaged just 1.2 seconds per claim. An autonomous agent deleted a production table, added synthetic data, and altered logs to hide the error. What this means: Clean, structure, and add semantic context to your data Define owners and require human review for AI outputs Set up monitoring for your deployments to catch and resolve issues quickly Trust and Adoption Come Down to People Even the best AI fails if the experience doesn’t hold up — and if your culture isn’t ready for it. Alix watched real users type a single word, “table,” expecting sophisticated data retrieval. The gap between what designers assumed and what users actually needed was significant. “You get one shot. If your agent ships and doesn’t work well, users won’t come back. Make sure whatever you release does that one thing really, really well.” — Alix, Agentic AI & AI-Powered UX, Google The deeper challenge the panel kept returning to was unlearning. Ravi was direct: “We are obsessing about the code. We are not focusing enough on the culture.”  Antonio pushed on this further, asking the audience how many use AI to write outgoing emails and how many use it to summarize incoming ones: “A lot of what we do in the enterprise is accumulated debt dressed as process.” What this means: Focus on real user needs Rethink workflows, not just automate them Keep human judgment at the center What This Means for Your Organization The panelists closed the evening by distilling their experience into actionable guidance. Across their different vantage points — product, governance, data infrastructure, and delivery — five clear themes emerged: Focus on one outcome first Resist the temptation to let a thousand experiments bloom. Pick an entity, a kernel, a use case — and get it right. Success compounds. Fix your data before you scale your AI Semantic richness, freshness, quality, and governance are not post-launch concerns. They are prerequisites. Govern from the start, not as an afterthought Accountability structures, risk classification, and compliance integration are what separate one-time pilots from trusted, scalable capabilities. Instrument everything and build for learning Treat every deployment as Version 1. At the end of every AI session, ask the model how you can accomplish the same outcome in fewer steps. Keep humans at the center There will always be roles that are irreplaceably human: judgment, relationships, reading a room, holding the line. Protect that. Invest in people. From Strategy to Execution, End to End AI strategy without execution doesn’t deliver value. Execution without strategy creates waste. SEI brings both — and a proven methodology to get you there. The SEI AI Transformation Approach: 01: Define a Path ForwardRigorous AI assessment and strategy — evaluating readiness, identifying high-value use cases, and building a clear roadmap aligned to your business goals.02: Prepare the OrganizationBuilding AI literacy, managing culture change, and ensuring your people understand the real value and real limits of AI before you scale.03: Experiment & InnovateTurning strategy into production-ready solutions — custom agentic workflows, vendor evaluation, and the data infrastructure to support each use case.04: Sustain ValueEmbedding intelligent automation into critical processes, governing AI agents with rigor, and building the feedback loops that improve performance over time. Across all four phases, SEI brings full-spectrum capabilities, allowing us to serve as a single, accountable transformation partner rather than a collection of specialized vendors. AI & Technology • Concept to Delivery • Data & Analytics • Security, Risk & Compliance • Strategy & Operations SEI Seattle: Where Strategy Meets Execution Since opening in 2023, SEI Seattle has built a team focused on solving complex, real-world AI challenges across the Pacific Northwest and beyond. Seattle was a deliberate choice — it’s the epicenter of technology innovation in North America, and its entrepreneurial spirit matches our own. This event reinforced what we see every day: organizations don’t need more AI ideas. They need partners who can help make AI actually work. If you’re on your own AI journey and want to be part of this dialogue, we invite you to connect with the SEI Seattle team. Let’s talk! Want to share the full recap of this event? Download the PDF here!

AI
Article

HIMSS 2026 Recap: It’s a Marathon, and a Sprint

The HIMSS Global Health Conference & Exhibition brings together some of the most influential voices in healthcare to tackle the challenges shaping the future of health IT. Our team got the opportunity to attend this year’s event in Las Vegas, connecting with leaders across the ecosystem, trading ideas, and discovering what’s real versus what’s hype. Discussions spanned AI, data readiness, digital access, and funding realities, often highlighting a central point: progress is being made, though not without friction. Here are a few of the biggest takeaways we gathered from HIMSS 2026. CMS Is Going Digital, but Not Everyone Is Ready One of the most talked-about shifts was CMS’s (Centers for Medicare & Medicaid Services) move toward digital identity and access. With partnerships like ID.me and new requirements for Medicare.gov, CMS is pushing forward on modernizing how patients use services, while many organizations are still catching up. What we’re seeing: Digital identity will become a requirement for accessing key services via the CMS Health Technology Ecosystem Providers will need to support both digital and paper-based identity workflows Questions around privacy, security, and usability are still evolving At the same time, many patients, especially those in underserved or vulnerable populations, still lack access to the tools needed to participate fully in a digital-first system. Takeaway:  The shift to verified digital access brings technical, operational, and patient experience implications that organizations must plan for now. $50b in Funding Doesn’t Guarantee Progress There’s no shortage of investment flowing into healthcare IT, but access to funding and how to use it effectively is far more complicated. Discussions around the Rural Health Transformation (RHT) Program highlighted a critical tension. While the program brings $50 billion in funding over five years to strengthen rural healthcare systems, the path to impact is anything but straightforward. States are using this funding to address a wide range of priorities, from expanding access and strengthening workforce capacity to modernizing infrastructure and enabling new care delivery models. However: Funding is tied to state-specific priorities and pre-defined plans Technology is only one piece of broader transformation efforts Administrative, regulatory, and coordination challenges can slow execution Timelines are aggressive, requiring rapid alignment across stakeholders Takeaway:  Health funding is accelerating change, but a clear strategy and strong execution remain essential. AI Adoption Is Rising. Data Readiness Isn’t. AI continues to dominate the conversation, but the focus is shifting. Last year was about experimentation. This year is about application, particularly around agentic AI and automation. Where we’re seeing traction: Non-clinical use cases like billing, scheduling, and chart abstraction Tools designed to reduce manual effort and improve efficiency Where challenges remain: Most healthcare data — let alone electronic health records (EHRs) — still isn’t structured or standardized enough for meaningful AI use Critical data can live in dozens of different places across systems The need for data transformation is still very real Meanwhile, platforms like Epic are pushing forward with embedded, no-code agentic AI across EHR and ERP systems. This is raising the bar for what “integrated AI” looks like and making it harder for point solutions to compete.  The takeaway here is a familiar one: AI is only as effective as the data behind it. For many organizations, that foundation is still under construction. Smaller Organizations May Have the Biggest Opportunity In a space defined by complexity, speed is starting to matter more than scale. Larger organizations are often navigating layers of regulation, legacy systems, and operational overhead. Smaller organizations don’t carry that same weight, and that creates room to move faster. We’re seeing smaller teams: Adopt new technologies more quickly Test and iterate without large-scale disruption Focus on impact without adding unnecessary complexity Takeaway:  Agility drives progress more than sheer size. Continuing the Conversation Healthcare organizations aren’t standing still, but moving forward requires more than access to technology or funding. It takes alignment across people, processes, and systems. At SEI, we see these moments as opportunities to help organizations turn momentum into measurable progress. We’re grateful to everyone who took the time to connect, share perspectives, and challenge assumptions along the way. If you’re navigating similar questions around digital transformation, AI, data, or operational change, we’re always up for a conversation. Let’s Keep It Going!

AI
Article

Turning Headwinds into Momentum: How Nonprofits Can Thrive Amid Financial Pressures

There’s no denying it: nonprofits across the country are facing a pivotal moment. Federal funding cuts, delayed grants, and economic uncertainty are converging to create a landscape that is both challenging and transformative. For many organizations, these disruptions aren’t just financial — they’re existential. Not only are programs being scaled back, but staff are being let go, and communities are feeling the impact. Yet, within this turbulence lies a unique opportunity. Nonprofit leaders, including executives, board members, and strategic partners, have the opportunity to reimagine how their organizations operate, engage stakeholders, and build long-term resilience. At SEI, we believe that uncertainty, while uncomfortable, can be a powerful catalyst for innovation and growth. The organizations that thrive aren’t the ones that sit back and wait for conditions to improve. Instead, they take a thoughtful approach to adapting to change, reimagining partnerships, and focusing on their most important, impactful outcomes and programs. The Reality of Federal Funding Cuts Federal grants have historically served as a reliable foundation for many nonprofits, particularly those working in housing, education, healthcare, and social services. But recent shifts in federal priorities and budget constraints have led to widespread reductions in funding. In some cases, organizations are waiting on millions of dollars in unpaid contracts for work already completed. In others, entire programs are being shuttered due to a lack of support. On top of this, it’s important to acknowledge that these cuts are occurring at a time when demand for nonprofit services is surging due to economic instability, inflation, and social unrest. The result is a sector under strain. According to the NonProfitTimes, 52% of federally funded nonprofits are experiencing financial instability, with 39% of nonprofits reporting staff reductions, 44% cutting programs, and 45% delaying or canceling initiatives. The ripple effects extend beyond operations. Staff morale is down, community trust is slowly eroding, and long-term sustainability is becoming increasingly uncertain. Strategic Adaptation: Five Imperatives for Resilience In an environment this volatile, strategic planning and adaptation is not optional — it’s essential. Nonprofit leaders must move beyond reactive measures and embrace a proactive, mission-driven approach to resilience. Here are five imperatives that can help organizations navigate the current landscape and position themselves for long-term success. Diversify Support Streams Relying on a single funding stream is no longer sustainable. Federal dollars, while foundational, are increasingly uncertain. Nonprofits that rely heavily on a single source of support, whether that’s federal funding or a handful of major donors, risk significant instability when conditions change. That’s where diversifying support streams comes in. It’s not enough to count on federal funding or hope existing grants will be renewed. Instead, nonprofits must explore alternative sources of funding that align with their mission and values. By developing and deepening ties with individual donors through personalized engagement, building corporate partnerships that align with their values, and creating earned income strategies, such as fee-for-service programs or social enterprises, nonprofits can diversify their support sources. Organizations that can pivot quickly and tap into multiple funding sources are better equipped to weather disruptions and seize new opportunities. Strengthen Donor and Funder Relationships Through Transparency In times of uncertainty, trust is everything, so engage your key donors in an honest conversation. Donors need to understand how funding cuts are affecting your mission, what steps you’re taking to adapt, and where their support can make the greatest impact. Clear, consistent communication not only builds trust but also deepens engagement. Grant-making organizations are also navigating uncertainty. Open, honest conversations can lead to more flexible grant terms, multi-year commitments, and collaborative problem-solving. In addition to sharing your challenges, make sure to discuss your vision and your strategy for resilience. When it comes to illustrating your impact, pair data with stories. Share real-time updates and highlight community voices to demonstrate how donor contributions are driving meaningful change. Collaborate and Advocate Time and time again, humanity has proven the simple truth: there’s strength in numbers. When we come together and work toward a common goal, we persevere and advance. That’s why tapping into your nonprofit ecosystem during times of financial pressure is vital. Collaborating with peer organizations, coalitions, and advocacy networks can extend your reach, amplify your voice, and unlock opportunities that no single group could achieve alone. Working together also allows you to deconflict similar or overlapping programs, enabling each organization to build on the strengths and resources of its partner organizations while doubling down on what they do best. When nonprofits connect, collaborate, and coordinate their efforts, they become stronger. By working together and supporting one another, nonprofits can focus on their most critical offerings and maximize their impact. Reassess Budgets and Prioritize Core Programs Strategic financial planning should always be a top priority, but it’s especially critical in times of uncertainty. Scenario planning prepares nonprofit organizations for multiple funding outcomes, allowing them to make smarter, more informed, and more deliberate decisions about resource allocation. Instead of floundering when funding doesn’t come through as expected, organizations can confidently adjust. While funding cuts and economic uncertainty are undoubtedly challenging, they also create a space for revisiting budgets. You have the chance to streamline your operations, eliminate overlapping initiatives, focus on mission-critical programs, and redirect investments towards what matters most. Plus, a leaner, more focused organization is often a more impactful one. Invest in Technology to Drive Efficiency When resources are scarce, investing in technology might seem counterintuitive. But having the right tools on your backend can actually multiply your capacity. From automating donor engagement to tracking outcomes and streamlining financial management, technology can reduce manual effort, improve reporting, and provide the insights and clarity you need to make informed choices. With the help of the right technology, you can launch conversations with existing donors and open new doors to philanthropic organizations, funding nonprofit transformation. To maximize impact, consider consolidating your tools. All-in-one platforms that support CRM, impact measurement, and financial and resource management can help cut complexity, eliminate redundancies, and reduce costs, all while giving you a more unified view of your entire organization and freeing up staff to focus on more mission-driven work. SEI: Leading Through Uncertainty The challenges facing nonprofits today are real, but they’re not insurmountable. With strategic clarity, bold leadership, and an unwavering commitment to mission, organizations can turn headwinds into momentum. This is a moment to lead with purpose, to innovate with intention, and to build a future that is not only sustainable but transformative. At SEI, we know that the way forward isn’t always easy or even clear. But that doesn’t mean you have to resign yourself to being at the complete mercy of forces outside of your control. With the right perspective, tools, and partners by your side, uncertainty can become an opportunity for growth. For decades, we’ve helped nonprofits just like you navigate complex situations and come out the other side stronger than ever. Ready to turn today’s challenges into incredible opportunities? Let’s talk!

Change Management

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Building A Centralized Data Hub for University Reporting

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Optimizing Campus Services Finance and Administration

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