Every day, facility maintenance teams conduct inspections that produce findings — and then spend hours converting those findings into repair tickets, compliance records, and escalation alerts by hand. The result is delay, inconsistency, and an evidence trail that rarely survives an audit intact. OxMaint's AI Vision Evidence Automation changes the workflow entirely: a photo taken during an inspection becomes, within seconds, a classified defect record with severity score, an auto-generated work order, and a timestamped evidence attachment — all linked to the asset, the location, and the technician who captured it. No re-entry, no interpretation gap, no missing documentation. Whether your team operates commercial buildings, healthcare facilities, manufacturing plants, or public infrastructure, this capability closes the loop between what your team finds in the field and what your maintenance system acts on. Book a demo to see AI vision evidence automation running live on inspection images from your asset types, or start free and capture your first AI-classified inspection evidence today.
Inspection Photos That Write Their Own Work Orders
OxMaint AI Vision converts field inspection images into classified defect records, repair tickets, evidence attachments, and priority alerts — in under 30 seconds, with zero manual re-entry.
From Field Photo to Closed Evidence Record in 5 Steps
Technician scans asset QR code in OxMaint app, captures inspection photo — any modern smartphone camera.
AI model analyses image against trained defect classification library — outputs defect type, severity score, and location map.
Severity score compared against configured asset thresholds and previous inspection baseline automatically.
CMMS work order auto-generated with AI analysis, evidence image, severity score, and recommended action attached.
Timestamped, georeferenced evidence record permanently stored against asset — instantly retrievable at audit.
What AI Vision Detects That Manual Inspection Misses
Replace Manual Evidence Filing with AI-Powered Inspection-to-Work-Order Automation
Process inspection photos from mobile devices, fixed cameras, or drones — auto-generate work orders, compliance records, and severity trend reports without any manual data entry.
What Every AI Vision Evidence Record Contains
| Evidence Field | Data Source | Purpose | Audit Value |
|---|---|---|---|
| Inspection image | Technician smartphone / drone / fixed camera | Visual record of asset condition at inspection time | Irrefutable timestamped condition proof |
| AI defect classification | OxMaint AI vision engine | Identifies defect type, location, and category | Objective classification removes subjectivity |
| Severity score (0–100) | AI model vs trained thresholds | Quantifies defect severity for prioritisation | Traceable priority justification |
| Trend comparison | Current vs prior 3 inspections | Shows defect progression or improvement | Demonstrates proactive monitoring |
| Geotag and timestamp | Device GPS + server time | Confirms inspection actually happened at location | Compliance inspection verification |
| Technician identity | OxMaint user authentication | Assigns inspection accountability | Full chain of custody for audit |
What Facility and Compliance Professionals Say
Measurable Outcomes from AI Vision Evidence Automation
AI Vision Evidence Automation — Questions from Facility Teams
No specialist camera hardware is required. OxMaint AI vision processes images captured on any modern smartphone with a 12 megapixel or higher camera. For high-access or hazardous-area inspections, the system also integrates with drone-mounted cameras and borescope outputs. Image quality guidelines — minimum resolution, lighting, and angle — are embedded in the inspection checklist so technicians capture usable images without specialist training. Book a demo to see AI detection running on sample images from your specific asset types and camera hardware.
Every AI-processed inspection image is stored permanently against the asset record with a timestamp, geotag, technician identity, AI defect classification, and severity score. At audit, compliance records can be filtered by asset, date range, inspection type, or defect severity — and exported as a structured compliance report in under five minutes. The evidence chain is complete, correlated, and immediately presentable to auditors. Sign up to begin building an AI-verified evidence archive for your facility from your first inspection cycle.
OxMaint's base AI vision model comes pre-trained on over 2 million classified industrial inspection images covering all major facility asset classes. During onboarding, the model is calibrated using baseline images from your specific assets — capturing each surface's normal appearance under your facility's lighting and environmental conditions. This asset-specific calibration reduces false-positive detection on surfaces with normal patination or protective coatings. Book a demo to discuss the calibration process for your asset portfolio and confirm detection accuracy expectations before deployment.
OxMaint is both the AI vision layer and the CMMS — evidence, work orders, asset records, and scheduling are all in one platform with no integration required between them. For teams already running a separate CMMS, OxMaint integrates via API to push AI-generated work orders and evidence records into Maximo, SAP PM, Infor, or other major CMMS platforms. Sign up to see how the connection to your existing system is configured, or contact our team to confirm API availability for your CMMS version.
Every Inspection Your Team Runs Without AI Vision Is an Evidence Gap Waiting to Fail an Audit
OxMaint AI Vision converts inspection photos into classified defect records, repair tickets, and compliance evidence automatically — from the smartphone your technicians already carry. No new hardware. No manual re-entry. No missing documentation.
