Skip to content

The JointAction Platform

The intelligence layer behind serious WMSD prevention.

The JointAction Platform turns objective assessment evidence into operational work-related musculoskeletal disorder (WMSD) prevention intelligence — task insights, the task demands library, return-to-work matching, the risk universe, validation evidence, longitudinal reporting and the Project Jai AI workflows. The strength is the layer as a coherent whole.

Book a demoSee the science
The risk universe: every task in the program plotted by workers exposed and average Consequential Risk Score, coloured by dominant body region
The risk universe: every task in the program plotted by workers exposed and average Consequential Risk Score, coloured by dominant body region

The risk universe and the program overview · illustrative sample data. Click to expand.

The heart of the platform

Evidence, process, intelligence.

Evidence

Objective, sensor-derived data captured in the actual workplace, in the actual conditions. Etiscope is how the customer captures it — around 10 minutes per assessment.

Process

The disciplined Assess → Control → Validate → Track methodology, the Consequential Risk Score, and alignment with REBA, RULA, MAC, ISO 31000 and Safe Work Australia guidance.

Intelligence

The layer that turns evidence-and-process into operational outcomes — task insights, the library, return-to-work matching, the risk universe, validation and longitudinal reporting.

What the platform produces

One layer, many outputs — no single one is the headline.

The platform expresses itself across many forms. Treat them as a coherent set: the value is in connecting the whole picture, not any single output.

Task demands library

A documented profile of the physical demands of every important role in the organisation.

Return-to-work matching

Certificate restrictions judged against per-task demands — an evidence-backed suitable-duties document for the treating doctor, not ambiguous “modified duties.” The RTW Matchmaker module is in development; return-to-work matching against documented role demands is delivered today as an engagement on top of your task demands library.

The risk universe

Portfolio-level visualisation of risk across every site, shift and role.

Validation evidence

Pre and post scoring of the same task, same protocol, side by side.

Task & job insights

What the data implies about specific tasks and aggregated roles.

Procurement evaluation

Pre-purchase testing of equipment, vehicles and tools against existing demand profiles.

Safe-design input

Layout, workflow and engineering-control decisions informed by exposure data.

Longitudinal reporting

Time-series evidence of risk distribution and control effectiveness.

Project Jai

Natural-language reporting, decision support and exposure forecasting, from Project Jai.

Inside the platform

What the intelligence layer looks like.

Expand
Controls in flight: the pipeline from proposed to adopted, where the pipeline sits on the hierarchy of controls, and the controls register
Controls in flight: the pipeline from proposed to adopted, where the pipeline sits on the hierarchy of controls, and the controls register
Controls register · illustrative sample data
Expand
Assessments: the defensible record with the Defensibility Vault export, capture hours, sensor hours, coverage and the recent assessments table
Assessments: the defensible record with the Defensibility Vault export, capture hours, sensor hours, coverage and the recent assessments table
Assessments and the Defensibility Vault · illustrative sample data
Expand
A role library entry: average Consequential Risk Score, workers, the tasks composing the shift, and the aggregated body-region demand profile
A role library entry: average Consequential Risk Score, workers, the tasks composing the shift, and the aggregated body-region demand profile
Role library · illustrative sample data
Expand
Project Jai decision support: example questions, sensitivity tags, capacity calculators and predictive flagging, with the audit and citation trail
Project Jai decision support: example questions, sensitivity tags, capacity calculators and predictive flagging, with the audit and citation trail
Project Jai · illustrative, in design

Why a connected approach

A multi-factorial risk needs a connected answer.

MSD risk is multi-factorial: it emerges from how load, posture, repetition, duration and force combine and accumulate — against the worker’s recovery, the environment and PPE, and how the work is organised. A program that chases a single factor leaves the rest compounding. The platform connects the whole prevention lifecycle — assess, control, validate, track, return-to-work matching, role demands, the longitudinal record — rather than handing over one number.

Workers on an elevated platform performing maintenance at height

The compounding pay-off

The asset deepens the longer your program runs.

A single assessment is useful. A library across the whole organisation is the evidence base for an entire prevention and injury-management system. The platform builds a coherent intelligence layer you own — and the longer your program runs, the deeper it gets.

Architecture

Platform, products and capability — how they relate.

JointAction Platform

The solutions & intelligence layer — where evidence becomes program intelligence

Etiscope

Captures the physical-work evidence the platform runs on

MoveTime

A parallel path for sedentary and desk-based workers

Project Jai

The AI capability inside the platform

See the intelligence layer working on real assessment data.

Book a demoSee the methodology →