AI inspections for Xenia
Read every photo and video your team captures in a Xenia inspection, audit or work order, and get back what is actually in the frame, area by area, location by location.
How a Xenia audit is builtOverview
A Xenia audit produces two things: a score, and a pile of photos. The score travels well, rolls up by district and region, and tells a regional manager which locations to worry about. The photos are the evidence underneath it, and after the walk they are read once, if at all. RapidEye reads them all: the media on every submitted inspection, task and work order, plus the location, the template and the date, and returns a finding per problem with the frames that prove it. Nothing in Xenia changes.
How it works with Xenia
Xenia is not one artifact, it is four places where a phone camera comes out on a shift. RapidEye reads all four the same way.
- Brand standards and compliance audits. The district manager's walk, with photo verification required on the questions that matter. RapidEye reads those frames and reports the things a scored answer cannot carry: a gasket splitting on the reach-in, grease behind the fryer line, a ceiling tile stained since the last visit.
- Opening and closing checklists. Same template, same questions, twice a day, every day. That repetition is what makes the photos worth something: the prep table at 6am in a hundred consecutive frames is a record of drift, and RapidEye reports the day the drift starts rather than the day a guest notices.
- Line checks and food safety. Xenia handles temperatures with probes and sensors, which is the part a photo is bad at. What a photo does carry is the rest of the line: labels missing off prepped containers, a cutting board that should have been swapped, product stacked above the fill line.
- Corrective actions and work orders. Xenia auto-creates a task from a failed audit item and routes it with the photos and the context, and links it back to the audit it came from. RapidEye reads the closing photo on that task against the photo that opened it and says whether the frame shows the thing fixed or the thing moved.
- Whatever you actually capture. Photos, video walkthroughs, a phone walked slowly through a back-of-house. RapidEye reads the documentation your team already produces and reports against the standard you care about, so if your format is not in this list, it is a conversation, not a no.
A finding names the location and the area, where it sits in the frame, what kind of problem it is, how bad it looks, the frames that show it, and a suggested next step. It lands in the RapidEye dashboard, and in a Slack channel or an inbox for your ops team if you want it there. Whether it becomes a corrective action or a work order is your call, made in Xenia.
How to connect Xenia to RapidEye
- Your locations in Xenia. A Xenia account with the sites you audit set up in your location hierarchy. Whatever levels you use, brand, region, district, store or franchise group, are the levels findings come back against.
- The photo questions on your templates. Xenia lets you require photo verification on specific questions. The templates where that is switched on are the ones RapidEye has the most to read. If a template you care about has no photo questions yet, a RapidEye capture link covers it from any phone with no app to install.
- Add RapidEye as a user. Add a user in Xenia and assign it to the locations you want read. The Connect modal has the name and email to use.
How a Xenia audit is built
Checked against Xenia's product documentation, September 2026.
Xenia is a frontline operations platform for multi-location businesses, and its documentation names restaurants, retail and convenience stores as its home ground. According to Xenia's product documentation (xenia.team), an inspection is not a flat checklist: it is a template with sections, question types, weights and conditional logic, and it carries four things at once.
Pass/fail, text and other answer types, with conditional logic that triggers follow-up questions or a photo requirement based on how the previous answer went.
Every question carries a point value, positive for compliance and negative for a failure, weighted so critical areas count for more. One audit can run several scoring systems for different departments.
Unlimited photos and video, captured offline and synced later, annotated with voice notes, text comments and markup. Photo verification can be required on specific questions, which Xenia describes plainly as preventing pencil-whipping.
Failed items auto-create tasks routed to the store team with the photos and context attached, critical failures can demand immediate corrective action, and each task links back to the audit that produced it.
The reporting layer then does what reporting layers do: score trends by location, district, region or company-wide, the most common failure categories, one site against the company average, and a PDF with photos for a leadership review. Xenia's location hierarchy decides who sees which slice, with unlimited levels and store managers scoped to one site while district managers see their territory.
What a Xenia score does and does not carry
Scoring is the part Xenia has thought hardest about, and it is genuinely good: thresholds turn a number into a letter grade or a colour rating, so a walk ends with a word a regional manager can act on.
Platinum, Gold and Silver are Xenia's own example colour ratings. The bands are thresholds you set; the descriptions here are ours.
What a band is made of is answers. A score is the arithmetic on what the person holding the phone said, and it is exactly as good as their attention on the fourth store of a long Friday. The photo attached to a question is the one part of the record that does not depend on that attention, and it is also the part nobody has time to open. That is the whole reason the integration exists: the score gets the district manager to the right ten locations, and reading the frames gets somebody to the right shelf.
Does Xenia already review audit photos with AI?
Yes, in part, and it is worth knowing exactly what part. Xenia's documentation describes AI Photo Rollouts reviewing every photo from task and work order checklists to flag gaps in quality and brand standards, comparing submitted photos to verify product displays, equipment placement and signage guidelines, and assessing image quality so a blurry or badly lit frame gets sent back for a retake. That is a real capability aimed at a real problem, and it works in the moment: this photo, against this standard, now.
RapidEye reads the same media on a different axis, which is time. It builds a baseline for each area of each location out of the photo history already sitting in your submitted audits, and then reports what is different from that baseline: a scuff on a wall that was not there last month, a shelf empty for three consecutive visits, a piece of equipment that has quietly disappeared, wear that no single photo looks bad enough to catch. Taking spaces over time from unstructured media and finding the differences is the thing RapidEye is built to do, and it composes with what Xenia already flags rather than replacing it.
Xenia integration FAQ
Does RapidEye integrate with Xenia?
Yes. RapidEye reads the photos and video your team captures in Xenia inspections, audits, tasks and work orders, along with the location, the template and the date, and returns a finding per problem with the frames that prove it. Your templates, scoring systems, corrective actions and work orders in Xenia are not changed.
Xenia already flags audit photos with AI. What does RapidEye add?
Xenia's AI Photo Rollouts reads a submitted photo against your brand standard at the moment it is taken, and Xenia's product documentation describes it comparing product displays, equipment placement and signage. RapidEye reads the same media as a series. It builds a baseline for each area of each location out of the photo history already in your submitted audits, then reports what changed against that baseline: a scuff that was not there last month, a shelf that has been empty for three visits, a piece of equipment that has quietly gone missing.
Can RapidEye check an audit that scored Platinum in Xenia?
Yes, and those are the interesting ones. A Xenia score is the sum of the point values on the answers somebody gave. RapidEye reads the photos attached to those answers and reports what is in the frame, so a Platinum walk with a cracked gasket in the photo comes back as a finding against that location and that section.
Does RapidEye read video and not just photos?
Yes. Xenia captures unlimited photos and video during audits, including offline, and RapidEye reads both. A phone walked slowly through a kitchen gives far more coverage than four framed stills, and video walkthroughs are what most teams end up standardising on.
Will RapidEye create corrective actions or work orders in Xenia?
No. Xenia stays the system of record for every task, corrective action, work order and score. RapidEye reads and reports back, and your district manager decides what gets raised in Xenia.
We run 40 restaurants on Xenia. Is that enough locations to bother?
Forty locations is roughly the point where nobody can look at everything any more. A weekly audit at 40 sites is 40 submissions and several hundred photos a week, and the photos are the part that gets skimmed. RapidEye reads all of them and gives you the short list of sites worth a visit.
Other restaurant platforms RapidEye reads
Multi-unit operations platforms where a checklist answer and a photo arrive together.
CrunchtimePhotos on the tasks and audits its Ops Execution app runs in store
JoltDaily checklists, labels and temperature checks read for condition
TrailOpening checks and food hygiene records, read from the attached photos
TaqticsStore audits with photo proof, read against each site's own history
FreshCheqChecklists, cooling logs and inspections, backed by what the camera saw
All restaurant integrations
Sources
- Xenia product documentation, inspections and audits, work orders, location hierarchy and Xenia AIxenia.team
Sources are named at the publisher level and were checked against the publisher's live pages before this page was published.
