Dx1 · Assessment
We map the context, identify prioritized use cases, and come away with an honest recommendation.
2-4 weeksImplementation of Claude for Education at universities, colleges, and graduate programs—for faculty, researchers, students, and administrative teams, with pedagogical guardrails.
The discussion about AI in education is no longer “do we allow or prohibit ChatGPT?” Institutions that have embraced it as pedagogical infrastructure are gaining an advantage: professors who plan classes faster, researchers who complete literature reviews in hours instead of weeks, administrative departments that automate repetitive tasks, and students who have a tutor 24/7 with pedagogical guardrails—without replacing the instructor’s judgment. ia¹ implements Claude for Education at universities, colleges, and graduate programs with clear academic use policies, configurable anti-cheating safeguards, and an internal committee that adapts usage by academic program. Results in one semester: trained faculty, documented use cases by faculty, and real adoption metrics.
Claude for Education is Anthropic’s institutional product for universities, colleges, and academic institutions. It offers per-user or institution-wide licenses, an extended context window of 200K tokens (enough for academic articles, theses, and entire books), policies against training on institutional data, and an optional Learning Mode that teaches through Socratic questions instead of giving direct answers. Use cases documented at institutions that have already implemented it include support for faculty with lesson planning, materials, and assessment; support for researchers with literature reviews and data analysis; assisted tutoring for students with pedagogical guardrails; administrative operations (admissions, scholarships, student communications); and institutional research. Compliance: in the U.S., FERPA (student privacy) and COPPA (children under 13); in Mexico, LFPDPPP and SEP regulations where applicable.
Dx¹ + Im² + Rt³ methodology adapted to the academic context. Dx¹: institutional audit, mapping of use cases by faculty/department, definition of an academic use policy and anti-cheating safeguards (2-3 weeks). Im²: deployment of Claude for Education with role-based licenses (faculty, researcher, student, administrator), configuration of Learning Mode for student use, integration with LMS platforms (Canvas, Moodle, Blackboard, Google Classroom), a prompt library by academic discipline, and training for faculty and administrative teams (6-10 weeks). Rt³: institutional AI committee, ongoing training for new faculty, adoption monitoring by faculty, curation of shared prompts, and assessment of pedagogical impact each semester. Applies to public and private universities, K-12 schools, high school systems, graduate programs, and research centers.
We map the context, identify prioritized use cases, and come away with an honest recommendation.
2-4 weeksWe build the first end-to-end use case. Open stack, your code, clear success metrics.
4-12 weeksOngoing support: new cases, monitoring, adjustments, and capability transfer.
from month 330 minutes. No cost. You’ll leave with an honest recommendation — whether you work with us or not.