The U.S. Department of Education has released more than $160 million in new funding through the Fund for the Improvement of Postsecondary Education (FIPSE), presenting a major opportunity for colleges and universities preparing to invest in AI, short-term programs, and institutional innovation.
Within this broader investment, $100 million is tied to two priorities that matter most for institutions advancing AI, data systems, and short-term credential programs. With applications accepted from November 12 to December 3, 2025, institutions have a short timeline to align priorities and submit competitive proposals.
This year’s funding signals a clear message. Federal reviewers want to see measurable outcomes, responsible AI adoption, and stronger infrastructure for student support.
The Department is looking for proposals that show how institutions can use AI, analytics, and digital tools to better support students throughout their academic journey. The goal is to use technology to enhance early identification, personalized support, and stronger academic outcomes.
A strong proposal should:
This priority focuses on building long-term institutional resilience through technology. The Department encourages projects that help institutions modernize their systems, streamline operations, and share data effectively across departments.
Competitive submissions will:
The Department of Education is looking for projects that demonstrate measurable student impact, strengthen institutional capacity, and ensure long-term sustainability. QuadC AI helps higher education institutions address each of these priorities directly, offering a foundation for data-driven innovation that can support your proposal.
QuadC combines an Early Alerts & Case Management with AI-powered support to identify at-risk students early, recommend interventions, and measure outcomes. Its human-AI integration ensures that automation enhances, not replaces, the human connection.
In one full-year pilot, institutions using QuadC’s AI:
These quantifiable results strengthen a proposal’s evidence base and help meet the Department’s expectation for measurable student success outcomes.
QuadC AI aligns with FIPSE’s focus on innovation and operational efficiency by connecting existing campus systems, LMS, SIS, CRM, and scheduling tools, into a unified environment. This integration supports cross-departmental collaboration, improves coordination between academic and student services, and ensures that all efforts are grounded in consistent data.
Its multi-LLM framework also provides flexibility and control, giving institutions the ability to manage how AI responses align with institutional policies and compliance standards, an increasingly important consideration in federal reviews.
FIPSE emphasizes equitable access and sustainable use of funds. QuadC AI’s shared-seat licensing and scalable onboarding lower implementation costs, allowing institutions to offer high-quality AI access without exceeding budget limits. This approach supports sustainability and equity, both of which are key evaluation criteria in competitive grant applications.
4. Compliance and Security by Design
Data privacy, security, and ethical use of AI are essential for federally funded initiatives. QuadC AI is FERPA compliant, and ensures that institutional data is not shared with or used to train public AI models, helping institutions meet Department of Education standards for responsible and secure technology adoption.
The Department’s funding priorities reflect a national shift toward AI-enhanced, data-informed learning ecosystems. Institutions that can show how technology improves both student success and operational capacity will be best positioned for funding.Applying for federal funding can feel complex, but a strong proposal usually comes down to clarity, alignment, and proof of impact. Here are practical steps to help you strengthen your submission and avoid common mistakes:
• Follow every instruction in the notice, including formatting, attachments, and submission rules. Missing a detail can put an otherwise strong proposal at risk.
• Tie each activity to a measurable outcome. Reviewers want to see a clear line between what you plan to do and how you’ll know it worked.
• Explain how the project will continue after the grant period. Sustainability is a major factor in competitive scoring.
• Keep your language direct and easy to understand. Make it clear what you’re doing, why it matters, and how it will move the needle for students or operations.
• Back up your plan with data or evidence when possible, especially if you’re proposing AI or analytics-driven work.
• Include letters of support or commitments from academic leadership, student services, IT, and other stakeholders. This shows the project has momentum and broad buy-in.
• Build a realistic budget that reflects both the work and the long-term maintenance needs. Overly ambitious or unclear budgets can raise flags.
• Double-check that your proposal addresses each part of the priority you’re applying under. Reviewers evaluate strictly against the criteria.
The Department’s funding priorities reflect a national shift toward AI-enhanced, data-informed learning ecosystems. Institutions that can show how technology improves both student success and operational capacity will be best positioned for funding.