Liquidity, payroll compliance, governance and where AI can help

Not‑for‑profit (NFP) organisations across aged care, disability services and community sectors are operating in an increasingly demanding environment. Funding is tighter and less predictable, workforce costs continue to rise, and regulators and stakeholders have little tolerance for financial or payroll shocks.

These pressures rarely arise in isolation. Cashflow challenges, workforce compliance and governance concerns often emerge at the same time – placing increasing strain on leadership teams and boards.

The organisations navigating this environment most effectively tend to have one thing in common: a strong focus on operational fundamentals.

Across the sector, three themes consistently shape resilience and sustainability:

1. Liquidity and cashflow discipline
2. Payroll integrity and award compliance
3. Board‑level governance maturity, including oversight of emerging tools such as AI

This article explores each of these themes and highlights where technology can support better decision‑making – without replacing professional judgement.

1. Liquidity and cashflow: from finance issue to organisational resilience

For most not‑for‑profit organisations, liquidity has always mattered. What has changed is the degree of pressure on cashflow across the sector. Reduced or delayed funding, tighter contract terms, rising wage costs and inflationary pressures are leaving many NFPs with far less margin for disruption.

In disability services cashflow pressure is often driven by:

• NDIS funding delays or adjustments
• Timing gaps between service delivery and payment
• Labour intensive operating models and award‑driven costs
• Limited ability to recover rising expenses through pricing

As a result, even financially well‑managed organisations can experience short‑term liquidity stress if cash inflows and outflows are not closely monitored. Boards and executives are increasingly expected to demonstrate that they understand their cash position, can manage volatility and have credible plans to sustain services through funding or operational shocks.

Where AI can help

AI cannot replace sound financial management, but it can help organisations move from reactive reporting to faster, more informed decision-making.

Practical, low‑risk applications include:

• Scenario modelling and stress testing: Speeding up ‘what if’ forecasting (funding delays, occupancy movements, wage increases), so management can test runway and triggers earlier
• Trend detection: Flagging emerging patterns (e.g., deteriorating cash conversion, abnormal variance trends, unusual payables ageing) for human review
• Narrative consistency: Helping align board papers with finance outputs (e.g., ensuring cashflow assumptions match the operational plan)

The guardrails: AI outputs should be treated as decision support, not decision-making. Boards and executives still need clarity on assumptions, data completeness and how conclusions are formed.

Audit lens: In this environment, audits should do more than confirm historical compliance. They can help boards challenge assumptions, stress-test financial resilience and identify early warning signals before issues escalate.

2. Payroll compliance: a financial, cultural and governance risk

Payroll is one of the most complex compliance areas for many NFPs, particularly in disability services and aged care. Rosters are dynamic, employees often work across multiple programs, and award interpretation involves penalties, allowances, broken shifts and classification judgments that evolve over time.

Even well-intentioned organisations with capable teams can experience payroll errors when systems, classifications or award interpretations become misaligned. When they do, the consequences can be significant. Recent enforcement outcomes have shown that payroll issues can result in material back‑payments, remediation programs and reputational damage.

For not‑for‑profits, the impact is rarely only financial. Underpayments affect trust, staff morale and organisational culture – particularly in values‑driven environments. They also raise governance questions about systems, oversight and assurance.

The Fair Work Ombudsman has provided a Payroll Remediation Program (PRP) guide to support employers in identifying and correcting large-scale underpayments, including designing remediation programs, managing communications and locating former employees. [fairwork.gov.au]

Recent enforcement outcomes show how quickly payroll issues can become material:

• Open Minds Australia back‑paid staff about $4.2m and entered into an enforceable undertaking following breaches linked to interpretation uncertainty and payroll/rostering errors. [fairwork.gov.au]
• Southern Cross Care (Tasmania) back‑paid nearly $6.9m affecting over 1,700 current and former staff, following payroll/HR system errors and overtime/split shift issues. [abc.net.au]

Where AI can help

Used appropriately, AI can strengthen payroll oversight by identifying anomalies and surfacing areas that warrant review.

Practical applications include:

• Award and roster anomaly detection: Identifying patterns that look inconsistent with configured rules (e.g., missing penalties, unusual overtime distributions, repeated manual overrides)
• Classification drift review: Highlighting employees with changed duties/locations/rosters that may warrant a classification review
• Remediation data work: Assisting with data mapping, grouping and workflow tracking for PRP projects (especially where records are fragmented across systems).

The guardrails:
AI cannot guarantee compliance because award interpretation is contextual, and payroll outcomes depend heavily on data integrity and configuration. Use AI to surface risk, then validate via payroll specialists and appropriate review.

A key governance overlay: the regulatory bar is rising

The regulatory environment is also becoming tougher. From 1 January 2025, intentional underpayment of wages or entitlements became a criminal offence under changes administered by the Fair Work Ombudsman, although genuine mistakes are treated differently.

As a result, boards are increasingly seeking assurance that payroll systems, controls and review processes are fit-for-purpose and capable of identifying issues early. [fairwork.gov.au]

3. Governance under scrutiny: the questions boards should be asking now

Many NFP boards are volunteer-led and deeply mission‑driven. While this is a strength, it also increases the need for  practical governance frameworks that support clear oversight, accountability and risk management.

Boards do not need to be operational experts in every area, but they do need visibility over the risks that could materially impact sustainability, reputation and stakeholder trust.

The AICD’s updated Not‑for‑Profit Governance Principles (Third Edition) encourage directors to focus on areas such as risk management, performance and accountability, sustainability and organisational culture – supported by director questions and case studies. [aicd.com.au]

Practical questions boards can ask:

Financial resilience

• Are our cashflow assumptions realistic and evidence‑based?
• What would happen if funding is delayed or costs rise faster than planned?
• How do we monitor liquidity and respond to emerging pressure?

Payroll integrity

• Where are our highest‑risk award interpretation areas?
• Have classifications and allowances been tested against actual work performed?
• Are we remediation‑ready if an issue is identified?

Internal controls

• Are our controls appropriate for our size and complexity?
• Where are we most exposed to error, override or fraud?

AI and digital governance

• Where are we using AI today – formally or informally?
• What data is involved, and how is access controlled?
• How are outputs reviewed and validated?
• Is AI changing our control environment, and has that been assessed?

These questions help boards move from passive oversight to active stewardship.

A practical 90-days action plan for boards and CFOs

Liquidity and cashflow

• Refresh scenario modelling (best/base/worst) with clear triggers and response plans
• Ensure funding risks are understood and communicated at board level
• Document liquidity strategy and evidence quarterly monitoring

Payroll

• Run a targeted payroll compliance health check (highest-risk entitlements first)
• Confirm classifications and entitlements are current and documented
• Ensure records are reliable and reconciled between time/attendance and payroll

AI governance

• Create a simple register of AI tools in use (including “shadow AI”)
• Define who can use AI, on what data, and how outputs are validated
• Treat AI outputs as supporting evidence, not conclusions

Closing thoughts

NFP leaders are being asked to deliver more services, manage greater complexity and operate under increasing scrutiny with less resources.

The organisations best positioned to thrive will be those that strengthen their operational fundamentals: maintaining cashflow discipline, ensuring payroll integrity and building governance frameworks that can adapt to emerging risks and technologies such as AI.

While technology can support better visibility and decision-making, sustainable outcomes still depend on strong oversight, sound processes and informed judgement.

How William Buck can help

William Buck works with not-for-profit organisations across aged care, disability services and community sectors to strengthen financial resilience, improve payroll governance and enhance board confidence.

Whether you are reviewing liquidity pressures, assessing payroll compliance risks or developing practical AI governance frameworks, our specialists can help you identify risks early and build a stronger foundation for the future.

Speak with your local William Buck advisor to discuss how your organisation can navigate today’s operating environment with greater confidence.