Rigor, with receipts.
Make Learning Visible
When AI Is in the Loop.
Run a pilot that tracks the full arc of AI-assisted work—from sources and prompts to drafts and revisions—so you can coach growth, not police outputs.
Active Pilots Running Now. MVP Deployed.
The Assessment Crisis
Traditional assessment is collapsing under AI-generated output. The missing signal isn't whether students used AI—it's how they used it. Provenance pilots make the invisible work of learning visible, measurable, and fair.
Help Shape Practical AI Implementation in Higher Ed
Share what your institution is doing now—what's working, what's blocked, and what evidence is required for pilot approval.
Take the 10-Minute SurveyWhat a Pilot Is
A ProvenanceAI pilot introduces two things into real coursework:
- The ProvenanceAI Path — a structured chain-of-custody from Sources → Prompting → First Draft → Review & Iterate → MVP
- Three measured Distance Metrics — Human Distance, Leverage Distance, and Well-Being
Together, they allow instructors to evaluate how the work was built. Built on Design Thinking principles (EBNA: Excellent, But Not Enough), we reward iteration, progress, and momentum—not just final outputs.
What You’ll Learn (Fast)
- ✓
It's not about proving you didn't use AI. It's about showing how you used it well.
- ✓
Where is the student adding real value beyond the model?
- ✓
Is the learning process improving over time—or just getting faster?
Best Fit for Pilots
- Faculty Integrating AI Now
- Writing programs and first-year seminars
- Honors programs & Gen Ed sequences
- Centers for Teaching & Learning (CTLs)
- Supporting faculty adoption with defensible metrics
- Provost / VP Innovation Roles
- Institutional adoption & academic integrity strategy
What You Get
Experience the Three Distances
Try the live demo—Human Distance, Leverage Distance, and Well-Being. See how ProvenanceAI measures learning when AI is in the loop.
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