ISO 45001 — Occupational Health & Safety

What ISO 45001 covers?

ISO 45001 (iso.org) sets out requirements for an occupational health and safety management system — hazard identification, risk assessment, incident investigation, worker consultation, and continual improvement. AssetAI does not implement that management system. What it does is maintain the maintenance-side data — breakdown records, safety-measure checklists, failure taxonomy — that plants typically want as supporting evidence underneath a separately run OH&S programme, whether that programme lives on paper, in an EHS suite, or in a dedicated ISO 45001 tool.

What the data layer actually captures

AssetAI's Safety Measure master list holds entries such as LOTO, PPE, work permit, or gas test as line items. These are mapped per asset and printed on the job sheet as an on-paper checklist with sign-off fields through Checklist Management — useful as a documented record that required precautions were listed and acknowledged before work started, but it is a checklist print, not a permit-issue-and-close workflow, and there is no lock/tag state machine behind the LOTO label.

Two mechanisms go a level deeper:

• Hard-gated closure on cause and remedy. Every breakdown or corrective work order requires a recorded failure mode, cause, and remedy — plus free-text root cause and closure remarks — before it can be closed. This is enforced in code, not left to discipline, and it feeds the failure Pareto and RRR data that plants use for incident-cause analysis.
• Severity-tagged breakdown logging. Breakdowns are logged with severity (normal/high/emergency), a machine-stopped flag, photos, and failure mode. An "emergency" severity bypasses approval and starts the downtime clock immediately at reported time — a timestamped trail that's relevant when demonstrating response speed to unsafe or stopped conditions.

Asset Criticality (RRR) scoring — built from cost, failure frequency, downtime cost, age, and warranty — can also be read as a risk-ranking input for identifying which assets deserve closer safety attention, though it's worth being clear this is a maintenance-economics score, not a formal safety risk assessment.

What deliberately stays outside AssetAI

To set expectations correctly:

• No permit entity, permit number, issue/close workflow, expiry tracking, or approval gate for hazardous work.
• No hazard identification, HIRA, or incident-investigation forms as dedicated records.
• No injury or near-miss reporting, medical case management, or training/competency tracking.
• No certification issuance, and [VERIFY: ISO 45001 certification/compliance claim] no built-in clause-mapping or audit-evidence export.

If your plant runs permit-to-work, LOTO, or HIRA processes today — on paper or in another system — AssetAI is designed to sit underneath them as the maintenance-record layer, not replace them.

Fitting this into an existing OH&S programme

For most Indian manufacturing sites, the practical approach is to keep hazard assessment, permits, and training in whatever system already owns them, and use AssetAI for the maintenance evidence: safety-measure checklists on job sheets, breakdown severity logs, and cause/remedy records that auditors and safety committees can pull alongside the formal OH&S files. This mirrors how the same platform supports downtime and OEE analysis for reliability teams — one data layer, multiple audiences. If you're new to the category, What is a CMMS explains the baseline; browsing industries or use-cases will show where this pattern is applied. To see the Safety Measure list and job-sheet checklist on your own asset data, book a 30-minute demo.

Getting this right in practice is less about the software and more about how a plant decides to use it alongside whatever OH&S system already runs the floor. The sections below cover the operational side — how the data flows day to day, where plants commonly go wrong, and how to bring AssetAI into an existing programme without duplicating effort.

How the evidence trail builds up over time

None of AssetAI's OH&S-adjacent data comes from a single form — it accumulates from routine maintenance activity that was going to happen anyway:

• Every breakdown gets logged with severity, a machine-stopped flag, photos, and failure mode, creating a timestamped record of what went wrong and when.
• Closure is blocked until a technician records failure cause and remedy, so the record can't be closed as "fixed" without an explanation on file.
• Safety-measure checklists print on the job sheet per asset, giving a paper trail of what precautions were listed and signed off before work began.
• Asset criticality (RRR) scoring — cost, failure frequency, downtime cost, age, warranty — flags which machines fail often and expensively, which is a useful, if maintenance-economics-flavoured, input into a separately run risk register.

Over months, this becomes a searchable history a safety team can pull from during an internal review, even though AssetAI itself isn't running the review.

Where plants go wrong with this page

The most common mistake is treating the Safety Measure list or the LOTO entry on it as if it were a control. It isn't — it's a label in a master list that gets printed on a checklist, not a lock-tag state machine or a permit gate. Teams that assume otherwise end up with a false sense of coverage. The fix is straightforward: keep permit-to-work, LOTO isolation, and hazard/risk assessment (HIRA) on whatever system already governs them — paper, an EHS suite, or a dedicated ISO 45001 tool — and use AssetAI strictly for the maintenance-data layer underneath: breakdown logs, failure taxonomy, checklist printouts. Plants exploring use cases across industries generally get more value framing it this way from the start rather than retrofitting scope later.

Getting it running without overclaiming

Setup is mostly configuration, not workflow design:

• Build the Safety Measure master list once, then map the relevant entries to each asset so they appear automatically on future job sheets.
• Make failure mode/cause/remedy taxonomy specific enough that Pareto analysis on breakdown data is actually useful, not just a mandatory free-text box technicians rush through.
• Decide up front which severity level counts as "emergency" so that bypass-and-raise behaviour matches how the plant actually wants unsafe or stopped-machine conditions escalated.
• Treat the criticality/RRR score as one input to a risk conversation, not a substitute for a proper hazard assessment.

None of this constitutes ISO 45001 certification, audit-readiness, or compliance — AssetAI doesn't map to 45001 clauses or export audit evidence, and any such claim should be treated as unverified until confirmed. What it does provide is a maintenance record that's more consistent than a logbook, which is often exactly what an OH&S auditor wants to see sitting underneath the paperwork. For a broader look at what the platform handles beyond this page, see all features or check pricing; if you're evaluating fit for a specific plant, book a demo rather than guessing from the page alone. Background reading on the standard itself is available via ISO, and plants running broader improvement programmes may find the overlap with TPM practices worth understanding alongside OEE.