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Use case

Cleaning Quality Assurance

7 November 2025

Vision Agent used
Two cleaners working through an open-plan office

Cleaning quality affects safety, hygiene, brand standards and customer experience. But across multiple sites, shifts and contractors, maintaining consistent standards is difficult without constant supervision.

Many cleaning operations still rely on checklists, delayed photo reviews and manual site visits.

The result is inconsistent quality, limited visibility and slow issue resolution.

Tiliter Vision Agents provide a smarter way to verify cleaning standards at scale.

The Challenge

Without real-time oversight, organisations often face:

  • Inconsistent quality across teams or locations
  • Missed areas or incomplete cleaning
  • Limited visibility into when work was completed
  • Slow supervisor feedback loops
  • Weak evidence for client reporting or audits

How Tiliter Helps

Tiliter’s Cleanliness Evaluator analyses before-and-after photos or routine site images to assess visible cleaning outcomes automatically.

Each result is timestamped and linked to the relevant location, shift or task.

Managers receive measurable, image-based quality data without needing to be on-site.

Key Capabilities

Automated Verification

Confirm whether cleaning tasks meet expected standards.

Consistent Quality Scoring

Apply the same benchmark across sites, contractors and teams.

Real-Time Visibility

Track results centrally through dashboards or workflows.

Reporting Evidence

Create clear visual records for clients, audits and contract reviews.

Training Insights

Identify recurring issues and coaching opportunities.

Where It Can Be Used

  • Offices and campuses
  • Transport hubs and stations
  • Shopping centres
  • Public facilities
  • Industrial sites
  • Healthcare and high-compliance environments

The Result

Replace reactive inspections and delayed reports with continuous visibility into cleaning performance.

Supervisors focus on improvement instead of manual checks. Clients receive verified outcomes backed by evidence.

Trains and shared public facilities

Transport networks and public spaces depend on high cleanliness standards for safety, hygiene and customer experience. But with constant foot traffic and limited cleaning windows, litter, spills and unclean surfaces can go unnoticed between manual inspections.

Tiliter’s Cleanliness Evaluator uses image-based AI to automatically detect visible hygiene issues across public environments.

By analysing routine staff photos or fixed-position camera images, it helps teams identify problems faster and respond more consistently.

What It Detects

  • Litter on seats, floors or surrounding areas
  • Spills and stains on surfaces or entryways
  • Unclean conditions in toilets and amenities
  • Mess or disorganisation in high-traffic zones

Where It Can Be Used

  • Trains and buses between service intervals
  • Stations, platforms and waiting areas
  • Public restrooms and shared amenities
  • Safety audits and outsourced cleaning contracts

Why It Matters

Faster Response Times

Spot issues earlier and dispatch teams quickly.

Better Service Standards

Maintain cleaner environments more consistently.

Reduced Complaints

Address visible issues before they impact passengers or visitors.

Stronger Accountability

Use timestamped image records for audits and contractor oversight.

Ready to turn images into operational data?

Build visual verification workflows and deploy them through mobile, web, cameras or your existing systems. Deployed in thousands of locations worldwide and ready to scale with your operations.