Improve Regulatory Compliance

Indian manufacturing plants operating pressure vessels, cranes, electrical systems and similar statutory assets face recurring inspection cycles, and the paperwork trail matters as much as the inspection itself. AssetAI treats compliance data as a natural output of the maintenance workflow already running in the plant — not a parallel system to maintain. This page covers how the mechanics hold up under real audit questions, and where the line sits between what AssetAI automates and what still needs a manual process.

What an Auditor Typically Asks For

Most internal or external audits circle back to the same handful of questions, and AssetAI's data model is built around answering them directly from the work-order and asset records rather than a reconstructed spreadsheet:

• "Which regulation does this inspection satisfy, and what's the certificate reference?" — every statutory/inspection schedule carries both fields, attached to the schedule itself, so the answer lives with the work order, not in someone's inbox.
• "Who signed off, and did anyone check it twice?" — the inspection closure gate requires a Planner-level check followed by Maintenance Head approval; a rejection sends the work order back to In Progress with the reviewer's note attached to the record.
• "Why did this asset fail, and what was done about it?" — cause and remedy are mandatory before any breakdown or corrective work order can close, enforced in code rather than left to policy, so the failure record an auditor pulls is never blank.
• "What's your PM compliance rate?" — a colour-toned KPI on the dashboard (30-day window) and again in the Analytics view over 30/90/180/365-day windows, computed from actual schedule adherence.
• "Is this asset under warranty or AMC?" — coverage is stamped onto the service call automatically at the moment it's raised, using a fixed precedence (in warranty > under AMC > expired > none), so cost-responsibility evidence exists without anyone reconstructing it after the fact.

For a broader look at how these pieces sit inside a standard CMMS, see what a CMMS actually does.

Where AssetAI Draws the Line

Compliance tooling is only useful if the plant knows exactly what it's automating and what it isn't. AssetAI does not maintain a cryptographically tamper-proofed audit log — what exists is work-order status history, timestamps, and rejection notes, which cover most internal review needs but aren't a substitute for a formal version-control system. There's no built-in mapping to named standards bodies like ISO or specific factory-act clauses — the regulation/statute field is free text the plant fills in itself, matching whatever framework it already reports against (see our standards page for how plants typically structure this).

Two other gaps worth planning around: statutory certificate expiry isn't alerted the way warranty/AMC expiry is (only the latter runs through the daily 06:15 sweep), and there's no permit-to-work workflow — no permit numbers, issue/close cycles, or expiry tracking, only a Safety Measures list mapped per asset and printed on the job sheet. Plants that need formal permit control or automated certificate-expiry alerting will need to run that piece outside AssetAI for now.

Getting the Data Out When You Need It

When an audit request lands, the asset-level CSV export — with criticality as a column — gives a ready data pull without building a custom report. It's not a packaged "evidence bundle," just the underlying records in a format an auditor or QA lead can filter and cross-check. If you want to see how this looks against your own asset register and inspection schedules, book a 30-minute demo rather than a slide deck — bring a statutory asset and we'll show the audit trail it actually produces.

Compliance tooling only earns its keep if it fits how plants already run maintenance day to day, not how an auditor imagines they should. The sections below cover how AssetAI's mechanics play out in daily use and what plants still need to handle themselves.

Setting Up Statutory Schedules Correctly

Statutory/inspection is one of six schedule types on the same maintenance-schedule form used for preventive, usage/meter, predictive, calibration and lubrication work — so a QA or maintenance head setting up a pressure-vessel or crane inspection isn't learning a separate module, just filling the regulation and certificate-number fields on a form they already use. A few practical points worth getting right at setup:

• Set the recurrence (days/weeks/months) accurately — inspection schedules are picked up by the same daily generation job as every other time-based schedule, so a wrong interval either floods the plan with early work orders or lets an inspection slip quietly.
• Use the regulation/statute field consistently across similar assets. It's free-form text — AssetAI doesn't map it to a named standard body such as ISO or a specific factory-act clause — so the value it delivers depends on the plant applying its own naming convention and sticking to it.
• Treat the generated work order as the single record. It carries the schedule's step list, and the resulting completion data — cause, remedy, closure approval — all lives on that one work order rather than a parallel logbook.

Why the Two-Field, Two-Gate Design Matters

The reason AssetAI separates inspection closure from ordinary work-order closure, and forces cause/remedy on breakdown and corrective orders, isn't just procedural completeness — it's what makes the resulting data usable for more than one purpose:

• The BM/CM closure gate is enforced in code across two separate paths, so the same failure-cause and failure-remedy fields that satisfy an audit question also feed Pareto and RRR analysis without any extra data entry.
• The inspection approval step is a distinct gate specifically because a second reviewer — the Maintenance Head — needs to sign off before a statutory record counts as closed. That separation from routine maintenance approval avoids building a custom approval matrix just for statutory work.
• Coverage stamping (warranty/AMC/paid) happens automatically when a service call is raised, so cost-responsibility evidence exists as a side-effect of normal work rather than something reconstructed after the fact when a warranty dispute or AMC review comes up.

What This Doesn't Replace

None of this amounts to a certified compliance system, and it's worth being explicit about the boundary before you plan around it. AssetAI doesn't alert on statutory certificate expiry the way it does for warranty and AMC dates, it has no permit-to-work workflow with issue/expiry/signature capture, and there's no cryptographically tamper-proofed audit log — what exists is work-order status history, timestamps and rejection notes. If your plant needs formal permit control or certificate-expiry automation, that stays a manual process alongside AssetAI. For everything else — PM compliance tracking, failure-cause records, coverage status — see the full features list or the broader use cases AssetAI supports across Indian manufacturing industries. If you're new to the category, the what is a CMMS explainer covers the basics, and pricing or a demo is the fastest way to see the compliance fields in your own asset register.