September 24, 2026
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5 min read
How Large Assessment Programs Run Thousands of Concurrent Exams Without Adding IT Overhead
Scaling assessment volume usually means scaling IT overhead right alongside it. Here's how programs like BCIT and NPI run thousands of concurrent exams without adding support burden.

Most assessment programs hit the same wall on the way to scale. Exam volume grows, and IT workload grows right along with it: more devices to support, more compatibility issues, more help desk tickets on exam day. Volume and overhead move together, so scaling the program means scaling the support burden too.
It doesn't have to work that way. The programs that scale cleanly aren't the ones with bigger IT teams. They're the ones that removed the dependency on IT in the first place.
Why Concurrency Breaks Most Proctoring Setups
The strain usually traces back to one decision made early: whether the proctoring tool runs in the browser or requires something installed on the device.
An install-based tool means every concurrent exam is also a concurrent support surface. Different operating systems, different browser versions, corporate devices with restricted permissions, personal laptops that can't install anything new. Multiply that by a few thousand simultaneous sessions and the IT team isn't supporting an exam anymore. They're running an incident desk.
None of that has anything to do with assessment security. It's friction created by the delivery method, and it scales in the wrong direction: the more successful the program gets, the worse the problem becomes.
What "No IT Overhead" Actually Means at Scale
Browser-based delivery removes the install dependency entirely. Test takers launch directly from the LMS, on any device, on any browser, with no extension or client software to manage. Identity verification happens automatically at check-in rather than through a separate application. There's nothing for IT to pre-approve, image onto lab computers, or troubleshoot when a candidate's device won't cooperate an hour before their exam window opens.
At low volume, this difference is a convenience. At high volume, it's the entire reason a program can grow without growing its support headcount to match.
The Real Cost When Volume Spikes
The cost of IT overhead rarely shows up as a line item. It shows up as delayed rollouts, exam-day escalations, and staff time pulled away from the program itself to handle device issues that have nothing to do with academic or credentialing integrity. At scale, that cost compounds. A support model that handles a few hundred sessions without strain can buckle at a few thousand, and the failure point usually appears on exactly the day it can least afford to: exam day, with the least room to absorb disruption.
What This Looks Like in Practice
BCIT moved 13,000 remote exams through a single semester, mid-year, with a full transition to D2L Brightspace built in. Only about 1% of students needed support at all. That's not a small deployment absorbing a spike. It's a program running at real institutional volume without the support burden scaling alongside it.
The National Payroll Institute proctored more than 30,000 exams with a sub-1% support rate, alongside a 57% reduction in academic integrity incidents. The two results aren't separate wins. They're the same design decision showing up twice: remove the friction that creates support tickets, and the program can scale without adding the overhead that usually comes with it.
Scale Doesn't Mean Skipping Human Review
Removing IT overhead solves the delivery problem, but delivery is only half of what scale tests. The other half is whether every flagged session still gets a documented, human-reviewed outcome when volume climbs into the thousands.
This is where platforms that rely purely on automated detection start to show strain in a different way. Automated flags scale easily. Defensible decisions don't, unless the review process was built to scale with them. A trained reviewer examining every flagged session, not just the automated ones, is what keeps a result defensible at exam five and at exam five thousand.
What to Look for When Evaluating a Platform for Scale
A few questions separate a platform that scales cleanly from one that quietly shifts the burden onto your team:
- Does it require anything installed on the candidate's device, or does it run entirely in the browser?
- Is pricing tied to usage, or does scaling up require a new licensing conversation?
- Does it integrate with the LMS your program already uses, or does it add a second system to manage?
- When flagged sessions increase with volume, does human review scale with them, or does the backlog grow untracked?
If the answer to any of these points back toward more internal overhead as volume grows, that's the overhead that will show up later, usually during the busiest exam window of the year.
The Standard to Build Toward
Running thousands of concurrent exams shouldn't require thousands of IT hours to support them. A program built to scale cleanly separates volume from overhead from the start, so growth means more exams delivered, not more support tickets filed. That's what makes results fair, trustworthy, and defensible at any scale the program reaches.
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Frequently asked questions
Find answers to the most commonly asked questions from our clients.
It means the platform doesn't require anything installed, imaged, or pre-approved on candidate devices. Test takers launch exams directly from a browser, so IT teams aren't managing compatibility issues, device restrictions, or support tickets tied to the proctoring software itself.
Because there's no client software to install or license per device, browser-based delivery scales with server and review capacity rather than with individual device setup. Programs like BCIT and the National Payroll Institute have run thousands of exams in a single term without a corresponding rise in support demand.
Yes. Usage-based pricing means a program can grow exam volume without renegotiating licensing terms or budgeting for a step-change in cost. It keeps the pricing model aligned with actual program growth instead of ahead of or behind it.
It can, but only if the review process was designed to scale from the start. A platform where a trained reviewer examines every flagged session, regardless of volume, keeps outcomes defensible at high scale instead of letting a backlog of unreviewed flags build up.
The features that matter most are the ones that remove friction before it happens: no installs, automatic identity verification at check-in, and LMS integration that avoids a separate login or system. Together, these are what kept BCIT's support rate near 1% even during a full-scale rollout.





