Planned maintenance

Smarter maintenance. Less downtime. Higher OEE.

Plan and execute maintenance tasks to resolve issues before they turn into costly machine failure.

Book a demo Talk to sales

Maintenance technician in a hard hat using the Dropslab mobile app to run a guided preventive check on a process-plant pump

From work order to verified, traceable completion.

Concrete steps, from scheduled task to verified completion.

PM routine authoring
Step 01

Author once, deploy everywhere.

Turn OEM manuals and expert know-how into versioned, multilingual PM routines. Each step gets AR markers, a parts-and-tools list and skill-level rigour. One source, every asset, every site.
- Drag-and-drop step builder, multilingual out of the box
- Parts-and-tools list and automated reminders per routine
- Skill-adaptive rigour, from line operator to expert technician
Work order triggered and routed
Step 02

Trigger from schedule, condition or IoT.

Work orders fire automatically from the CMMS schedule, an IoT alert or a runtime threshold, routed to the right technician, tied to the asset and the latest SOP revision.
- Schedule-, condition- and IoT-triggered work-order generation
- Auto-routes to the right technician or operator
- Re-routes when a finding escalates to a corrective work order
Execution at the asset
Step 03

Execute at the asset. AI verifies every step.

The technician opens the work order on tablet or smart glass. Dropslab recognises the component automatically, AR markers highlight the exact bolt, valve or sensor, and on-device AI verifies each check in real time before the next step starts.
- On-device AI object recognition, proven in the E.ON deployment
- AR step markers on the actual component
- Vision-verified critical steps before the next step starts
CMMS write-back and audit packet
Step 04

Close the loop. Audit-ready in minutes.

Every completion writes back to your CMMS with photos, AI confidence scores and technician IDs. The work order closes when the AI says the PM was done. Audit packets for IATF 16949, ISO 9001 and GMP are a filter, not a reconstruction.
- Native sync with MaintainX, Maximo, Limble, Fiix, SAP PM
- Per-step audit log: timestamp, AI decision, operator, SOP revision
- Live MTBF, MTTR and PM-on-time dashboards

The whole PM cycle in one flow. Verified at the asset, closed in your CMMS.

End-to-end walkthrough

Six capabilities, one layer.

Every routine, revision, parts list and completion record in one place.

Plan and schedule: Set recurring maintenance by calendar, runtime hours or condition threshold. Every routine fires on time, routes to the right technician and lands with the latest SOP attached.
Guide at the asset: AR overlays the exact step on the exact component, visible on tablet or smart glass. No QR-sticker hunt, no wrong-asset mistakes, no interpretation required.
Verify with AI: On-device vision confirms each step was actually completed before the next one starts. The check happened. Here is the proof.
One source of truth: Every asset, routine, revision, parts list and completion record in one place. No scattered folders, no outdated binders, no version confusion.
React to signals: Vibration, temperature and pressure alerts become the right maintenance task automatically, routed to the right person before the issue becomes a breakdown.
Close the loop: Every completion, with photos, AI confidence scores and technician ID, flows back into your existing maintenance system instantly. The work order closes when the work is done.

14%

Measured, not marketed

Efficiency gain across the full maintenance cycle.

Measured at E.ON’s heating and power plant, with AI-based object recognition and AR-guided PM steps on the asset. Alongside cost savings and faster process times on the same routines. Not an industry benchmark: a real Dropslab deployment, measured by us.

Source · E.ON heating / power-plant pilot · Dropslab-measured