From Chaos to Confidence: How One Campus Took Back Control of Lecture Capture
The Situation
Every semester, a large health sciences university faced a tidal wave of logistics:

1,789 courses and 21,000+ events spread across Canvas
Dozens of rooms with Panopto recorders
Multiple coordinators juggling spreadsheets, email chains, and guesswork
Even with a heroic team, the results were unpredictable—missed recordings, frantic support tickets, and faculty anxiety right before class.

Our Approach
We partnered with the academic technology team to build a unified Lecture Capture Control Center that:

Pulls live data from Canvas and keeps it perfectly aligned with the local scheduling database
Understands Panopto folder mappings and recording devices for each room
Lets staff schedule (or cancel) sessions with one click, confident that behind the scenes the right recorder, duration, and folder are used
Flags conflicts in real time before faculty ever notice
The interface is intentionally simple: filter by course, term, or room, see the entire schedule, and toggle recording status instantly. Under the hood, fast APIs, chunked data fetching, and background workers do the heavy lifting.

Results That Campus Leaders Care About
85% reduction in manual scheduling time (20 hours down to 3 each week)
50x fewer recording errors, translating to happier faculty and fewer student complaints
42x increase in scheduling capacity, so growth no longer means hiring more staff
90% drop in “Where is my recording?” tickets
Most importantly, the academic technology team now walks into every semester with confidence instead of whiteboards full of sticky notes.

Why Universities Love This
🎯 Academic Reliability: Lectures are captured, published, and accessible without drama.
🙌 Faculty Trust: Instructors don’t need to double-check or send late-night emails.
🧩 Operational Cohesion: Canvas, Panopto, and the campus database finally act as one system.

📩 Send a message and let’s explore how we can bring the same calm to your campus.

Client details are anonymized; results are very real.