Digitize Inspections
Replace paper rounds with structured, analysable data.
Statutory and safety inspections in Indian plants — pressure vessels, cranes, electrical panels, fire systems — are recurring obligations, not one-off tasks, and AssetAI treats them exactly that way: as a time-based schedule that carries its own checklist and closure discipline into every generated work order, rather than a spreadsheet someone remembers to update.
How the schedule actually runs
An inspection schedule is a maintenance schedule with its type set to statutory inspection, running on a time basis — every N days, weeks or months — with two fields that plain PM schedules don't need: the governing regulation or statute, and a certificate number. Every day at 06:00, a background job checks all schedules, rolls forward any that are due, and raises a work order automatically; a lead-time setting (in days) lets that work order appear before the actual due date so it lands on the planner's desk with room to schedule, not on the morning it's already overdue. The same job can be triggered on demand via "Generate due" if you don't want to wait for the nightly run.
The checklist itself is entered as free-text lines against the schedule, stored as a JSON array, and rendered as bullet points inside the generated work order's description — the same mechanism used for routine PM checklists elsewhere in /features. It's deliberately simple: a line per item to verify, not a typed field with its own pass/fail state. That's a trade-off worth understanding before you standardise your formats — see how it fits the broader picture in What is a CMMS.
Closure discipline, not just a checklist
Where inspections differ from a normal PM is the closure path. Completing an inspection work order doesn't close it — it opens an approval step named exactly "Work order closure (inspection)": typically the planner inspects and the maintenance head closes. If the maintenance head rejects it, the work order reopens to In Progress with "Inspection returned: ..." appended, so the history of why it bounced back stays on the record instead of living in someone's memory or a WhatsApp thread.
Underneath, inspection work orders are CM type, which means they inherit the hard closure gate applied across breakdown and corrective work: no completion or closure is possible without a recorded failure cause and failure remedy. Practically, this means:
- An inspection can't be waved through as "done" without someone stating what, if anything, was found and what was done about it.
- The gate is enforced in code on the work order itself, not left to a checklist convention that gets skipped under shift pressure.
- On the floor, technicians can reach the relevant asset via the mobile PWA's scan-asset shortcut, and any breakdown found mid-inspection can be logged even offline, queued on the device and synced later.
Where the paper still matters
Not everything needs to live in a database field. The printable job sheet pulls the asset's safety measures and required tools into an on-paper checklist with sign-off lines — useful for the inspector who still needs a physical, signed document for an auditor or a boiler inspector, alongside the digital work order trail. If your inspection regime is tied to run-hours or wear thresholds rather than fixed calendar dates, meter readings — value, unit, date, note, photo, source — can drive condition-based schedules that behave the same way, just triggered by usage instead of the calendar. For how this sits against recognised quality frameworks, see ISO standards or browse other use cases to see how inspection scheduling pairs with PM and breakdown workflows on the same asset.
What to expect, and what not to
Setting up statutory inspections in AssetAI is straightforward, but it helps to know the boundaries before you configure a schedule around them. This is checklist-driven work-order management, not a dedicated compliance module — the distinction matters when you're deciding how much to lean on it for audit prep.
- Each checklist line is free text. There's no per-item pass/fail toggle or numeric field with its own stored result — a technician writes "Relief valve tested, OK" or "Panel earthing checked, resistance within limit" as description text, not as structured data you can later query line-by-line.
- There's no "inspection route" that walks a technician through twelve assets on one guided round. Every schedule and checklist is scoped to a single asset, so a plant with twenty pressure vessels runs twenty independent schedules, not one combined round.
- A failed item on the checklist doesn't spin off its own work order automatically. The inspection itself is a CM work order under the hood, and if something needs fixing, that follow-up goes through the normal breakdown/CM path — same failure-cause-and-remedy discipline, just started as a separate job rather than triggered per checklist line.
- The certificate number field is exactly that: a field. There's no file upload, no auto-generated certificate, no renewal-reminder engine watching expiry dates. If your statutory framework requires a stored PDF or a renewal alert ahead of expiry, that sits outside what the schedule tracks today.
None of this stops you from running rigorous, auditable inspections — it just means the rigor lives in how you name checklist lines and discipline your closure approvals, not in built-in structured fields.
Getting the configuration right
Most of the value in digitizing inspections comes from how the schedule is set up on day one, not from anything you do later.
- Write checklist lines the way you'd want them read on a printed job sheet six months from now — specific enough that "Coupling guard secured" means something to whoever's checking it, not just whoever wrote it.
- Set lead time deliberately. A pressure-vessel inspection due on the last day of the month is only useful to a planner if it appeared on their list with enough runway to schedule the shutdown window, not the morning it's already due.
- Use the regulation/statute field consistently — the same short label every time (e.g. "Factories Act — Rule 61", "Boiler Regulations") — so schedules are easy to filter and report on later, even though AssetAI doesn't map these to a built-in statutory library.
- Treat the printable job sheet as your paper trail: safety measures and required tools render straight from the asset record, so keeping those fields current on each asset is what makes the printed sheet worth signing.
This is the same rhythm AssetAI applies across preventive and condition-based schedules — meter-driven inspections tied to run-hours or thresholds behave identically once a reading trips the target. If you're weighing where inspection discipline fits against broader maintenance practice, the ISO standards most Indian plants align to and the wider discipline of TPM both assume exactly this kind of recurring, auditable structure — AssetAI just gives it a work-order engine instead of a binder. For a primer on how this fits the broader category, see what a CMMS actually does, or book a demo to walk through your specific statutory list.
Digitize Inspections FAQs
How do I set up statutory inspections so they auto-generate on schedule without manual work orders every time?
Create an inspection as a recurring maintenance type tied to a calendar interval (e.g., every 90 days), and it will auto-generate work orders on the same daily job schedule as your preventive and corrective maintenance. Each generated work order carries your inspection checklist directly into its description as task lines. You define the regulation name and certificate number once in the schedule, and both flow through to every work order it creates, so compliance documentation stays attached to the job from day one.
Can inspectors on the shop floor submit inspection findings without waiting for an internet connection?
Yes. The mobile PWA works offline—inspectors can scan an asset, complete their checklist, and submit a breakdown or closure attempt right there on the shop floor. The submission queues on their device and syncs to AssetAI automatically when connectivity returns, so you don't lose data or create administrative delays waiting for them to return to the office.
What stops an inspector from closing an inspection work order without documenting what they found?
Inspection work orders inherit the corrective maintenance closure gate: they cannot be marked complete or closed unless a failure cause and remedy are recorded. This hard gate ensures every inspection generates a documented record—even if nothing failed, you must log that finding. After closure, a designated approver (your Planner or Maintenance Head) reviews and either approves or returns it with feedback, keeping a clear audit trail for audits and standards compliance.
Do I have to type the same checklist into every inspection work order, or does it carry over automatically?
Type it once when you set up the inspection schedule, and it carries over automatically into every work order that schedule generates. Your checklist tasks are stored as a JSON array and rendered as bullet lines in each work order's description, so you maintain consistency and save time on data entry across all recurring inspections.
Can I print an inspection sheet that includes the asset's safety measures and tools needed so technicians don't miss anything in the field?
Yes. The printable job sheet for an inspection work order renders the asset's safety measures and required tools as a formatted on-paper checklist with sign-off lines. Technicians can take it to the shop floor as a complete reference, reducing the chance they'll overlook a safety step or grab the wrong tool, and they can sign it off to prove completion.
How do meter readings from inspections feed into my maintenance planning—do I have to re-enter them manually later?
You record meter readings (value, unit, date, note, and photo) directly within the inspection work order, and AssetAI captures the source and timestamp. These readings stay attached to the asset's history and can drive condition-based maintenance logic; you enter them once during inspection and they're available for analysis, trending, and preventive maintenance scheduling without re-entry.
When I digitize an inspection, how do I ensure the findings automatically trigger corrective work orders if something fails?
AssetAI flags failed inspection items based on your severity rules. You set thresholds—for example, if vibration exceeds 7.5 mm/s or a bearing temperature hits 80°C—and the system auto-creates linked work orders with priority levels. This prevents inspectors' findings from sitting idle. You can also manually create work orders from inspection findings on the spot. See maintenance planning to configure escalation rules.