Commercial cleaning
Prove scope coverage across floors, restrooms and break areas on night shifts with no one on site.
- Room-by-room before/after evidence
- Supply restock logs
- "No one on site" sign-off reasons
RouteProof turns technician checklists, notes and photos into an organized service record, flags what's missing before the truck leaves, and produces reports your customers can trust — with a clear line between evidence submitted and work verified.
Service templates define what a complete job record looks like — required steps, required photos, required notes and sign-off rules — so every visit is checked against the same standard.
Prove scope coverage across floors, restrooms and break areas on night shifts with no one on site.
Capture station counts, product and EPA registration details, and exclusion recommendations every visit.
Record equipment nameplates, readings and part replacements for preventive maintenance contracts.
Document the reported issue, diagnosis, repair and test — then answer callbacks with the full record.
AI organizes and checks. People verify. Every step is logged with who did it and when.
Technicians work through a mobile checklist, add notes and photos, and collect sign-off. Times come from the server clock, not the device.
Record understanding maps free-text notes and untagged photos onto checklist steps and classifies each file by stage.
Completeness analysis and exception detection flag missing photos, notes, sign-offs and inconsistent timestamps.
An operations reviewer approves or rejects evidence and verifies the record — or sends it back with a request.
A customer-ready report is generated from approved evidence only, clearly marked Draft until a reviewer signs off.
A fictional pest-control visit with real-world gaps. Step through what the technician sent, how RouteProof organizes and checks it, how missing evidence gets resolved, and how the report is prepared.
Times in this demo are simulated relative to your clock. Anything you add is stamped with your actual current time. Classification and summaries here use RouteProof's built-in rules engine, standing in for Amazon Bedrock.
A photo shows what a camera saw at one moment. It doesn't prove a job was done correctly. RouteProof keeps these states separate everywhere — in the app, in reports and in disputes.
The technician entered checklist items, notes and files. Nothing has been checked yet.
Automated analysis found the record complete against its template, or listed what's missing.
A named reviewer approved or rejected each file. Only approved files reach customer reports.
A named reviewer confirmed the documentation is complete. That's a records check, not a site inspection.
Evidence lives in private S3 storage, job records in an embedded SQLite database, and AI runs in Amazon Bedrock inside your AWS account boundary.
Offline-tolerant checklist, camera, signature capture.
Work orders, verification queue, disputes, reports.
Demo requests, sales pipeline, onboarding and customer sync.
Work orders, checklist rules, verification engine, audit log.
Customers, locations, work orders, checklist entries, evidence metadata, reviews, disputes. Append-only evidence tables, continuously backed up to S3.
Private evidence bucket, SHA-256 checksums, presigned access, object lock option.
Evidence classification, record summaries, recurring-issue narratives.
Report generation (PDF) and notifications via SES / SNS.
Tell us about your team. We'll set up your checklists and walk through the verification workflow with your ops lead.
In this demo build the form saves your request locally and logs a simulated HubSpot contact and deal. Nothing is sent to HubSpot.