Tertiary education
Academic and professional staff agreements, workload provisions, fixed-term rules, allowances and approval workflows.
Precision AI for regulatory compliance
Wattle AI Engine
Wattle AI checks rosters, timesheets and payroll events against the full agreements and awards in real-time before errors become underpayments, excessive overtime, disputes or remediation projects.
- Risk reduced
- We implement the agreement before the first customer workshop.
- Real-time
- Roster, timesheet and payroll events checked as they happen.
- Audit-ready
- Every outcome traces back to source clauses, tests and releases.
- Risk reduced
- We implement the agreement before the first customer workshop.
- Real-time
- Roster, timesheet and payroll events checked as they happen.
- Audit-ready
- Every outcome traces back to source clauses, tests and releases.
Across regulated industries
Complex workforce agreements exist in every industry.
Complex enterprise agreements and awards result in problems that are common across many sectors. Wattle AI addresses these challenges comprehensively.
- Underpayment and compliance breaches.
- Difficulty in detecting excess payments during rostering, overtime approval and timesheet entry.
- Collecting attestation to reduce loadings.
- Handling individuals that work across multiple agreements or awards.
Healthcare workforce
Public and private medical workforce agreements, with shift penalties, leave, attestation and roster-change controls.
Every other regulated workforce
Retail, aged care, hospitality, transport and public sector — any agreement complex enough that errors only surface at payroll.
The operating problem
Some agreements are too complex for payroll systems to implement correctly.
Many enterprise agreements and awards have so many interacting rules — overtime, penalties, breaks, allowances, complex time calculations, and local interpretations — that standard payroll and rostering systems cannot encode them accurately, and some are not implemented at all in practice.
- Under- and overpayments surface only at payroll (if at all), becoming back-pay liabilities and fines.
- Wattle implements the full agreement and runs it in real time — flagging excess overtime and compliance issues for rosters, as timesheets are entered, and payroll.
- Importantly, runtime calculations are deterministic, never generative AI — so every result is repeatable and auditable.
How Wattle works
From agreement text to real-time operational decisions.
The Wattle AI Engine is built from the ground up for AI authoring, validation, audit and governance. WattleScript, its language, is modern, designed for decision-making and data processing. The result is executable content that runs on a deterministic runtime — tested, versioned, audited and deployed at low compute cost.
Why not prompt-only AI?
Generative AI helps author executable content. It should not be the runtime.
| Requirement | Prompt-only generative AI | Wattle AI Engine |
|---|---|---|
| Repeatable decisions | Same prompt and context can still produce different outputs. | Same inputs produce the same verified outputs. |
| Reliability | Hallucinations are inherent in generative AI. Outputs can vary with model, prompt and context length. | Runtime logic is checked and deterministic. |
| Explainability | Generated explanations synthesised and may not reflect how decisions are made. | Outputs link to source clauses, detailed logic traces, tests and release history. |
| Production cost | High compute cost for every operational decision. | Low-cost runtime designed for high-volume event processing. |
| Governance | Prompts and guardrails need rework as models change and cannot be guaranteed. | Versioning, quality gates, governance workflows, monitoring and audit are built in. |
Customer approach
We reduce implementation risk before procurement starts.
Wattle AI can implement the target agreement before the first formal customer meeting. That changes the conversation from services risk to evidence: the customer can see their own rules running against realistic roster, timesheet and payroll scenarios.
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01
Agreement intake
Provide the agreement, award, policy material and representative data shape.
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02
Executable implementation
Wattle converts clauses, definitions and tables into domain models and WattleScript.
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03
Live evidence
Demonstrate compliance checks, optimisation opportunities and audit trails before rollout.
Built for governed automation
An engine for complex decisions — authored with AI, governed by people.
Built-in validation
Wattle checks the rules for errors and confirms every case is covered before they go live — catching problems in development, not production.
Traceable to source
Every result links back to the clause it came from, along with the code, tests and outputs behind it.
Quality gates
Testing, release management and versioning are part of the authoring lifecycle.
Fast at scale
Runs fast enough to check rosters, timesheets and payroll as they change, even at high volume.
Data quality
Incoming data can be mapped, validated, warned or rejected before decisions run.
Operational outputs
Warnings, tags, calculations, timers, reports and APIs feed the systems already in use.
General engine
The same capability applies to complex clinical guidelines.
Customers can author and load different domains into The Wattle AI Engine: it can encode clinical pathways, guideline logic, risk scoring, timers and explainable workflow automation for health tech companies that need governed decision infrastructure. WattleScript has features designed for clinical applications:
- Mapping from FHIR and HL7v2 to simplified data models for clinical applications.
- Ternary logic to handle uncertain or missing data.
- Data quality checks to identify and label decisions based on possibly unreliable data.
- Temporal logic and interval calculations for complex clinical scenarios.
- Score tables to implement clinical scoring rules.
- Timers and scheduled events to monitor clinical processes.
Team
AI, regulation and workforce operations experience.
Malcolm Pradhan
Founder & CEO
Entrepreneur, Adjunct Professor in Clinical AI (University of Sydney), MBBS and PhD (Stanford), co-founder of Alcidion Group (ASX).
MBBS · PhD · FAIDH
Thomas Glanville
GM – Customer Solutions
Strategic health management consultant and former Director of the Murrumbidgee Transformation Team, leading clinical analytics, activity-based funding and risk stratification.
B.Bus · NSW Premier's Award for Public Service
John Meckiff
GM – Commercial
20+ years as a management consultant across healthcare, life sciences, insurance, finance and mining; former GM Pathology Collections & CPO at Healius, and founder of Remedy Healthcare.
BAppSc · MBA
Request a demo
Bring us an agreement.
Send us an enterprise agreement, award, clinical guideline or policy. A public link is enough to start — if it is complex enough that services teams usually become the risk, it is the right test for Wattle AI.
We will assess the content and, in most cases, implement part of it so you can see your own rules running before we meet.