AI and the Hierarchy of Controls: Prioritize High-Risk Hazards Faster

The Spreadsheet That Never Tells You What to Do First

Here's a scene most EHS managers know too well. You've just completed a facility walk with your team. You've got 47 identified hazards logged across three departments. Some are on paper forms, some are in a shared drive spreadsheet that three different people have edited, and two are still in someone's notebook. Your job now is to figure out which of these 47 items needs immediate corrective action, which can wait, and — critically — which control measure is appropriate for each one.

So you open the risk matrix. You rank severity and probability. You start assigning scores. And somewhere around item 19, you realize that your rankings are starting to drift — because you scored a chemical splash hazard as a 3 on likelihood this morning, but you'd probably score the same hazard a 4 this afternoon after reading an incident report from a sister facility. The process is inconsistent by design, because it depends entirely on the judgment of whoever is holding the pen at that moment.

This is the fundamental problem with manual hazard prioritization: it isn't a system. It's a series of individual decisions made under time pressure, with incomplete information, by people whose risk perception shifts based on recency bias, workload, and experience level.

What OSHA Actually Requires — and What It Leaves Up to You

The hierarchy of controls — elimination, substitution, engineering controls, administrative controls, PPE — isn't a nice-to-have framework. It's embedded in OSHA's general industry standards and is the expected methodology for hazard control selection. Under 29 CFR 1910.132(d)(1), employers must conduct a hazard assessment to determine necessary PPE. Under 29 CFR 1910.119 for Process Safety Management, hazard analysis must be systematic and documented. OSHA's General Duty Clause (Section 5(a)(1)) creates broad accountability for recognized hazards — which means your prioritization decisions are potentially auditable evidence of what you knew and when.

The standards describe what you need to do. They are largely silent on how you get there. That gap — between regulatory expectation and operational reality — is exactly where inconsistency, missed hazards, and compliance exposure live.

How Gerty Applies the Hierarchy of Controls at Scale

Gerty's machine learning layer doesn't replace your hazard identification process. It takes the hazard data you're already collecting and does three things that manual review cannot do consistently:

• Normalizes hazard descriptions across inputs. Whether your team logs a hazard as "chemical spill risk near drum storage," "solvent splash potential — area 4B," or "drums not properly bunded," Gerty recognizes these as the same hazard category and aggregates them for analysis.
• Cross-references against your incident history and industry loss data. Gerty scores hazard severity not just on your team's judgment, but against actual outcome data — what hazards at this frequency and in this job category have historically produced injuries, citations, or near-misses.
• Maps each hazard to the highest applicable control tier. Before defaulting to "add PPE," Gerty flags whether an engineering control or administrative control is feasible based on the hazard type, applicable standard, and your facility's existing control inventory.

The output is a prioritized hazard register where the items requiring immediate action — and the reason they rank where they do — are transparent and documented. Not a hunch. A defensible, data-driven ranking.

A Real Scenario: Chemical Handling in a Manufacturing Facility

A process safety coordinator at a mid-size chemical blending facility was managing quarterly hazard reviews across four production lines. Manually, this took her team two weeks per quarter and produced inconsistent risk scores across reviewers. After connecting Gerty to their existing CMMS and incident log, the same review cycle dropped to three days — not because anyone cut corners, but because Gerty handled the normalization and initial scoring automatically.

More importantly, Gerty flagged a recurring near-miss pattern in the drum transfer area that had been logged three times in eight months as three separate, unrelated incidents. The manual review process had never connected them. Gerty surfaced them as a single systemic hazard — inadequate secondary containment — and ranked it at the top of the corrective action queue with a mapped control recommendation under the engineering controls tier, consistent with 29 CFR 1910.119 process hazard analysis requirements.

That's not faster data entry. That's a different quality of analysis.

The Counterintuitive Truth About Hazard Prioritization

Most safety managers assume that the highest-severity hazards are already on their radar — that the big risks are obvious, and the real value of a prioritization system is in ranking the middle-tier items. But the reality is that the hazards most likely to be underweighted are the ones that occur frequently with minor consequences. Because they haven't killed anyone yet, they get scored low on severity and bumped down the list — even when their frequency and systemic nature make them statistically more likely to produce a serious injury over a 12-month horizon than the dramatic, low-probability scenarios everyone worries about.

Gerty's model weights frequency and systemic recurrence, not just theoretical severity. That changes which hazards end up at the top of the queue.

What Gerty Doesn't Replace

This matters, and it's worth being direct about it.

• Gerty does not replace physical hazard identification. A safety manager or industrial hygienist still needs to walk the floor, observe work practices, and identify hazards that aren't yet in any system.
• Gerty does not replace engineering judgment. Whether a specific engineering control is feasible for your process requires someone who understands your equipment, your materials, and your operational constraints.
• Gerty does not make compliance decisions. It surfaces information and flags gaps. The EHS professional interprets, decides, and signs off.
• Gerty does not replace your corrective action follow-through. Prioritization without execution is just a better-organized to-do list. Gerty tracks closure, but your team has to close.

What Gerty replaces is the inconsistent, time-consuming, bias-prone manual work of sorting and scoring — the part of the job that burns hours and produces results you can't fully defend.

Frequently Asked Questions

Does Gerty work with the hazard data we already have, or do we need to start over?

Gerty is built to ingest existing data — incident logs, hazard registers, CMMS records, inspection reports — in common formats. You don't rebuild your data. Gerty normalizes and analyzes what you already have, and gets more accurate as your dataset grows.

How does Gerty handle hazards that don't fit neatly into standard categories?

Gerty uses natural language processing to classify free-text hazard descriptions, so unusual or facility-specific hazards get categorized based on semantic meaning, not keyword matching. Edge cases are flagged for human review rather than silently miscategorized.

Can Gerty help us prepare for an OSHA inspection or PSM audit?

Yes. Gerty maintains a documented, timestamped record of hazard identification, risk scoring rationale, control selection, and corrective action status — exactly the kind of evidence trail that supports compliance demonstration under 29 CFR 1910.119 and related standards.

What if our team disagrees with Gerty's risk ranking?

Gerty's rankings are transparent and adjustable. You can see exactly why a hazard was scored where it was, override the ranking with a documented rationale, and that override becomes part of your audit record. The system is a decision support tool, not an autonomous decision-maker.

How long does it take to get Gerty running with our hazard data?

Most teams are running their first prioritized hazard analysis within a few days of setup. Complex integrations with legacy CMMS systems may take longer, but Gerty's onboarding team works directly with your EHS staff — not just your IT department.

If your hazard prioritization process still depends on who's holding the spreadsheet, it's time to change that. Start a free Gerty trial and see what consistent, data-driven hazard prioritization actually looks like in your facility.