ai psychosocial compliance

Your team should be protecting people, not spending hours drafting documents and chasing evidence gaps

Safety and people leaders at the 2026 Australian OHS Leaders Summit described themselves as trapped in administrative work, spending days producing board reports that may not be read. ReFresh AI handles that documentation burden so your team can focus on the decisions, the people, and the relationships that actually improve psychosocial safety in your organisation.

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A WHS manager in her late 30s sitting on the edge of a desk in a bright, open office, in relaxed conversation with two workers who have stopped by — one leaning against a doorframe, the other perched on a nearby chair. The conversation is informal and genuine: she is listening with full attention, one hand gesturing lightly as she responds. No laptop is open. No phone is visible. She is fully present with the people in front of her, not at a screen. The scene captures the feeling of capacity returned.

A compliance officer in his early 40s sitting at a tidy desk, leaning back slightly with his arms crossed in a relaxed, evaluative posture, reading a monitor that shows a clean, structured document — paragraphs, headings, and a highlighted section with a marginal note — visible in layout but not legible. His expression is one of critical appraisal: the look of someone reviewing work that someone else produced, deciding what to keep and what to refine

AI Compliance agent

AI compliance agent that handles the first draft and the quality check for psychosocial compliance documentation

Reduce the documentation burden on your safety and people leaders with an AI compliance agent that handles the first draft and the quality check. It drafts psychosocial safety documents and policies from your active framework requirements, analyses incident reports to suggest severity, root cause, and contributing factors, and reviews survey free-text for themes and concerning patterns. It also checks existing documents against current requirements to flag coverage gaps, explains any requirement in plain language, and detects missing evidence with suggested tasks to close it. Your team reviews and decides on every output before it becomes part of your psychosocial compliance record.

automated monitoring

Automated psychosocial compliance monitoring that acts before your team needs to

Automated monitoring scans legislative sources, standards bodies, and regulatory publications for changes relevant to your organisation, and identifies which of your controls and policies each change affects. Compliance drift detection flags where existing documents no longer align with current requirements, and regular health digests keep every active framework in view. Because the duty is continuous and penalties can reach officers personally, a new regulation arrives as an alert rather than a surprise at audit, keeping you in a maintained, defensible position year-round.

A quiet, early-morning shot of a WHS team's shared workspace before the team has arrived. Three desks are visible, each with a monitor that is on and showing a clean dashboard with green and amber status indicators — the screens are active, the chairs are empty. One desk has a jacket draped over the chair. Another has a keep cup and a closed notebook. Morning light is streaming in through large windows, casting long warm shadows across the desks. The office is still. The system is running.

A HR coordinator in her mid-30s working at her desk in an open-plan office, mid-flow through a normal task. She is looking at a single monitor showing an interface where a form, a suggestion panel, and a document preview coexist in one view — three panes of a single workflow, visible in structure but not legible. Her posture is fluid and engaged — one hand on the mouse, the other reaching for a water glass — the body language of someone moving smoothly through a process without switching tools, without opening a separate application, without breaking stride.

ai-native systems

Psychosocial compliance AI built into the workflow, not bolted on as a separate module

Every AI capability lives within the psychosocial compliance workflow it serves: document drafting inside the document builder, incident analysis inside the investigation workflow, and evidence gap detection against your active framework requirements. The system works around the decisions your team is already making, rather than making them context-switch to a separate AI module nobody has time to learn.

human-in-the-loop

The human decides, the system documents psychosocial compliance

Every AI output in ReFresh is reviewed and approved by your team before it becomes part of your psychosocial compliance record. Compliance decisions should be made by the people who understand your organisation, your workforce, and your operating context, not by an algorithm that does not. And a regulator will hold your organisation accountable for the decision, not the tool that drafted the documentation.

A WHS director in his early 50s standing at the front of a small meeting room, having just made a decision. He is turned slightly toward a whiteboard where three options have been handwritten in marker — rough, real handwriting, not printed text — with one circled. His hand is still holding the marker, cap off. Two colleagues at the table are looking at the whiteboard, one nodding. A laptop at the end of the table is open but facing away from the group — present in the room but not the centre of attention. The decision was made by humans in conversation. The laptop will capture it.

GOT QUESTIONS?

Frequently asked questions

Does the AI make psychosocial compliance decisions?

No. AI handles drafting, analysis, and quality checking for psychosocial compliance documentation, and your team reviews and approves every output before it becomes part of your compliance record. The human always makes the decision.

What AI features are available for psychosocial compliance now?

Industry classification is live on all tiers, and incident type detection is rolling out. The six Pro AI compliance agent features (document writing, incident analysis, survey response analysis, requirement explainer, evidence gap detection, and policy quality checking) are being released progressively, and Enterprise automated monitoring is on the roadmap.

How does psychosocial compliance evidence gap detection work?

AI reviews your active framework requirements against the evidence currently in your system and identifies what is missing, then suggests specific tasks to close those gaps so your psychosocial compliance programme stays complete.

What is psychosocial compliance drift detection?

AI analyses your existing psychosocial safety documents against current regulatory requirements to flag where your documentation no longer aligns with what the law requires, so your team can update before an audit or inspection reveals the gap.

Can the AI draft psychosocial safety policies and documents?

Yes. The AI compliance agent drafts documents and policies based on your active framework requirements. Your team reviews, edits, and approves every draft before it becomes part of your psychosocial compliance record.

How does the AI analyse psychosocial incident reports?

The AI reviews incident descriptions to suggest severity rating, root cause, contributing factors, and relevant corrective actions, giving your investigation team a structured starting point rather than a blank page.

Is the psychosocial compliance AI a separate module we need to learn?

No. Every AI capability is embedded in the psychosocial compliance workflow it serves. Document drafting lives inside the document builder, incident analysis lives inside the investigation workflow. There is no separate AI module to learn or context-switch to.

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