SiteCaptureAI reviews every photo in a submitted report within minutes and alerts the crew to anything unreadable, off-site, off-target, missing data or not meeting quality standards, while they are still there to fix it.
In solar, the mistakes that cost the most are the ones found last. A crew wraps an install, submits the report, and moves on. Hours or days later, a QA/QC reviewer opens it and finds a label shot nobody can read, a conduit photo that never got taken, or a serial number typed with two digits swapped. Fixing any of those now means a phone call, a return trip, or a financing package that goes in incomplete and comes back.
SiteCaptureAI completes hours or days of review while your crews are still on-site and notifies them of exactly what is wrong so they can fix it before they leave. Here are the five things it catches, so your team doesn’t have to:
1. A photo is not clear or readable
Blur, a finger over the lens, glare, a shot taken in the dark, a subject cut off at the frame’s edge. These are the most common reasons a photo gets rejected, and they are the easiest to fix on site and the hardest to fix later. SiteCaptureAI checks every image for legibility as soon as the report comes in. A label that cannot be read by your reviewer cannot be read by your finance partner either. Caught on site, it is a two-second retake while the crew is standing next to the inverter. Caught later, the same photo is a return trip, or a rejected label shot that holds up the entire financing package.
2. A photo was taken at the wrong jobsite
Every photo is geo-tagged to verify it matches the location of the job. This catches a mistake that is nearly invisible to a human reviewer: a photo from this morning’s job uploaded to this afternoon’s project, or a shot pulled from the camera roll that shows a different roof entirely. Without the check, that photo looks fine and passes. The error surfaces weeks later when the utility or the lender notices the array in the picture does not match the plan, and by then the cost is a stalled PTO or milestone payment and a scramble to find the real photo, if one was ever taken.
3. A photo is not complete or doesn’t show the right thing
Your SiteCapture forms already tell the crew what to capture at each step, with a written instruction and usually an example photo. SiteCaptureAI validates each image against that description. If the step calls for the electrical box with all four corners visible, a photo that clips one corner fails, even though it is a perfectly good photo of an electrical box. If the step asks for the inverter nameplate straight on, a shot from six feet away fails.
The crew gets told which step, and what to reshoot. The cost of finding this one later is the most familiar in the industry: a ~$400 truck roll to take a photo that would have taken five seconds the first time.
4. Critical data is wrong or missing
A report is more than photos. Equipment make, model and serial numbers, meter readings, panel counts: all of it has to land in the right field, and today most of it is typed by hand from a photo. SiteCaptureAI identifies the text that needs extracting, reads it from the label, and writes it into the matching field. A wrong serial is cheap to fix on site and expensive everywhere else: a monitoring registration that fails, an RMA the manufacturer rejects, or a warranty claim that goes nowhere months later because the record does not match the roof.
It also tags what each photo shows and the condition it is in: module, inverter, racking, conduit, service panel, roof penetration, and conditions such as water damage or corrosion. Finding every inverter photo across forty jobs becomes a filter rather than a scroll, and a photo that never got taken shows up as a gap instead of a surprise.
5. The work does not meet your standards
The first four checks are about the documentation. This one is about the installation. SiteCaptureAI runs the QA/QC checks you define for your own standards: rapid shutdown label present, conduit strapped at the right interval, grounding visible, torque marks on the rail bolts, penetrations sealed. These are configured per form in plain language, not code, and they run alongside the photo checks on every submission. Miss one of these and the bill arrives at inspection: a failed inspection, a reinspection fee, and a second crew visit to fix what should have been caught the first time.
It can also verify the installation against your plan set and the NEC and AHJ requirements that apply to the project, so a code issue is caught before the inspector finds it.
What happens when something is wrong?
After they submit the report, the crew gets a notification via the SiteCapture mobile app. The alert names the photo, the step, and the reason it failed. All they have to do is reshoot, resubmit, and the check runs again. If everything passes, they get an approval notification, and they’re good to go.
What catching documentation errors while crews are on-site does for your margins
Projects close faster. Issues get caught while the crew is on site, not after hours of back-office review, so the days between install and closeout shrink.
Fewer truck rolls. A return trip for a missing or bad photo costs ~$400 in crew time and fuel before you count the job it displaced. Resolving the issue before the crew leaves removes the trip.
QA/QC and admin work cut in half. No more reviewing photos for blur or checking whether the right thing was captured. No more digging through disorganized uploads or chasing crews for the shot that never came in.
Faster financing approvals. Lenders and TPO partners have exact photo requirements, and a package that misses one goes back to the end of the queue. Getting it right the first time keeps the milestone payment on schedule.
See SiteCaptureAI in your workflow
Book a quick demo to see how SiteCaptureAI can make life easier for your field and office teams and improve margins on every job.
