High Rule Density
Many awards include detailed clauses and cross-references. Automation helps surface which clauses likely apply to each shift for a human to confirm.
Award interpretation and payroll compliance are complex. We use automation to help surface likely issues and provide clear explanations — while avoiding overstatements. For definitive legal advice always consult a qualified workplace lawyer or the Fair Work Commission.
We do not use customer data to train our models.
We apply access controls and encryption to protect your data while it's processed by the service.
Where possible we provide clause references and calculations used to reach flagged items — intended as an aid, not legal advice.
Specific solutions designed to tackle the most common compliance headaches.
What it does
Uploads and validates timesheets against SCHADS Award rules to catch compliance errors instantly.
Problem it solves
Manually checking every shift against complex award rules is slow and prone to error. We help catch underpayments and missing allowances before the pay run.
What it does
Analyzes job descriptions and automatically identifies which Modern Awards apply, with detailed interpretations.
Problem it solves
Misclassifying roles leads to incorrect pay rates. We help you identify the right award and classification level from the start, reducing guesswork.
What it does
Answers questions about Modern Award rules in plain English, providing instant answers with references to official clauses.
Problem it solves
Finding specific rules in dense legal text is difficult. We provide sourced answers to your specific questions, acting as an on-demand reference.
Modern Awards contain many rules and exceptions. Automation helps teams find likely issues faster — reducing manual effort and highlighting items for human review.
Many awards include detailed clauses and cross-references. Automation helps surface which clauses likely apply to each shift for a human to confirm.
Automation reduces time spent on routine checks so payroll and compliance teams can focus on verification and edge cases.
When staff numbers, shift rotations and penalty rules multiply, automation acts as a consistent assist to human reviewers.
Our outputs are designed to assist human decision-makers — we surface likely issues and provide references for review, rather than issue final legal rulings.
We combine parsing, rule engines, and retrieval of authoritative award text to highlight probable compliance issues and explain how calculations were derived.
Ask plain-English questions about clause references and likely interpretations. We attempt to provide the sourcing we used; always verify before acting on a result.
We parse uploads and apply rule checks to identify probable underpayments or missing allowances. Results are intended to speed human review and to reduce errors before payroll runs.
We maintain sources for modern awards and monitor published changes. We aim to refresh our reference material regularly; customers should verify the effective date of any clause before relying on it.
We aim to show the clause or rule used and the calculation applied. Where calculations are complex, we show intermediate steps to make review easier.
We aim to be clear about how data is processed. The summary below outlines common practices; for contractual details see our Data Processing Agreement or contact our support team.
We do not use customer-uploaded payroll data to train our public models without explicit, written consent. If you need a different arrangement, contact us to discuss contractual options.
We use industry-standard encryption for data in transit and at rest and role-based access controls to limit who can see customer data.
You control deletion for data you upload. Our retention policies and any backups are described in the DPA; contact support for details about retention windows and deletion guarantees.
We aim to describe what data we process, why, and approximate retention. For contractual or compliance needs (e.g. data residency), contact our customer team to discuss options.
We do not sell customer data. Some processing may use third-party infrastructure or services; those relationships are governed by our contracts and subprocessors list available on request.
We seek to comply with applicable privacy laws and standards. Customers with specialised compliance needs should request our audit reports or contract provisions during onboarding.
Try our tools to surface potential issues and speed review workflows — with clear sourcing and human oversight.
Questions about our data practices or need a DPA? Contact our team and we'll provide details tailored to your organisation.
Contact us — we're happy to explain →