Watermark is advancing AI in higher education, guided by impact to create meaningful change. Our goal is to deliver practical, ethical AI that saves time, deepens insight, and supports student, faculty, and institutional success.
Read on to learn how we design and apply AI responsibly, the product features it powers, and resources that can help you make the most of it.
AI is reshaping higher education but at Watermark, we’re not chasing hype. We’re focused on solving real challenges for faculty and administrators. Our approach is simple: use AI responsibly to save time, remove friction, and help institutions make smarter decisions.
Our six responsible AI pillars define how to regulate AI in higher education through transparency, fairness, and oversight. This framework ensures AI enablement in higher education happens ethically and effectively. Because AI should strengthen your mission, not distract from it.
We design AI features to help educators and administrators tackle real challenges. Our focus is on saving time on routine tasks, speeding up data insights, and helping higher education professionals work efficiently and effectively.
You deserve to know how AI works for you. We’re open about the technologies, partners, and data we use. And our AI features show their process, so you always understand how results are generated.
We build AI tools with accessibility at the forefront. Our goal is to identify and reduce bias wherever possible and to align with the principles and policies that promote fairness across higher education.
Your data is yours. Always. We use trusted, enterprise-grade partners like Microsoft Azure OpenAI Service to process data securely, and your institutional data is never used to train or improve any AI model.
AI should enhance human expertise, not replace it. Every Watermark AI feature includes human oversight, transparency, and the ability to review, adjust, or override outputs whenever needed.
We’re committed to keeping AI innovation within reach for every institution. By making these capabilities affordable and easy to adopt, we help ensure that no campus is left behind in advancing higher education.
Empower academic leaders to confidently shape their program portfolio. This AI-powered solution weaves internal metrics, program documents, and external labor market signals into a fast health assessment, giving deans and chairs the defensible evidence they need to invest, evolve, or restructure programs.
Register here for our upcoming webinar to learn more about Watermark Academic Momentum.
This powerful new capability within the Watermark Insights Hub introduces natural language access to transform institutional data into academic action. Administrators can go beyond standard dashboards by asking cross-functional academic questions of their Watermark and SIS data to make rapid decisions confidently, and gain strategic clarity exactly when they need it.
Watermark’s first generative AI feature, Instructor Insights for Course Evaluations & Surveys, is available now. This AI-powered tool helps faculty turn student feedback into impact by providing clear, natural language summaries and actionable steps. It eliminates the manual analysis step so faculty can instead focus on reflection and action.
Automate data input in Watermark Faculty Success.
Never enter faculty activity data manually again. AI-powered CV imports in Watermark Faculty Success handle the tedious input work so faculty can reclaim valuable time, quickly review and approve their profile updates, and focus on using their data to showcase their impact and advance their careers.
Streamline assessment in Planning & Self-Study.
The Assessment Catalyst Toolpack (ACT) is designed to drive stronger participation in the assessment process and enable faster, frictionless, context-rich data analysis. This toolpack will help faculty and assessment leads quickly identify actionable improvements to support continuous improvement.
AI is transforming higher education across nearly every department, from recruitment and admissions to student performance monitoring and accreditation preparation. Institutions are using AI to streamline application reviews, predict enrollment trends, identify at-risk students, improve retention strategies, and automate administrative tasks. These tools help colleges and universities operate more efficiently while making data-driven decisions that enhance student outcomes and institutional effectiveness.
Responsible AI adoption in higher education means implementing artificial intelligence tools in a strategic, ethical, and transparent way that supports student learning while minimizing risks. This includes creating clear guidelines for AI use, maintaining academic integrity, protecting student data, mitigating bias, and ensuring equitable access to AI tools. Institutions must promote AI as a supplement to learning, not a replacement for critical thinking, original work, or instructor oversight.
AI can reduce faculty workload by automating repetitive and time-consuming tasks. This includes grading assignments, checking plagiarism, drafting emails, generating lesson materials, creating rubrics, summarizing research, analyzing student data, and identifying at-risk students. By handling routine tasks, AI frees faculty to focus on teaching, mentorship, and meaningful student engagement.
Explore our resources to see how Watermark and our clients are pioneering effective and responsible AI use in higher education.
