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By now, most business leaders across Australia and New Zealand have experimented with AI in some form. But for many, the impact has been incremental rather than transformational.
The day-to-day reality of running a business – managing cash flow, coordinating operations, staying compliant – still relies heavily on manual effort inside core systems.
That’s because much of the AI leaders in mid-size businesses currently focus on generating content or summarising information: Useful, but still a step removed from getting work done.
If generative AI helps you think faster, agentic AI helps your systems act faster – planning, deciding and executing work across finance, operations and supply chain. And it's something every mid-size business should look into.
The iceberg effect: From thought to action
First, let's recap some definitions:
Generative AI is a tool you talk to, helping you think and write faster.
Agentic AI is a co-worker that pushes buttons for you, helping your business take action faster.
Generative AI as the visible tip of the iceberg. It's genuinely useful and what most businesses have encountered so far. But beneath the surface sits a powerful mass of capability waiting to do even more for your business: Agentic AI.
In the context of ERP, agentic AI is the AI systems embedded within your core business software that can plan, decide and execute multi-step workflows autonomously, not just provide answers.
Unlike a chatbot that waits for a prompt, an AI agent is goal-oriented. If a chatbot is a researcher who hands you a folder of information, an agent is the trusted team member who takes that folder, calls the supplier, updates the inventory, and flags the payment for approval.
In short: traditional automation follows predefined rules. Agentic AI can decide what to do next when conditions change.
The next wave: From pattern-spotters to task-doers
AI is evolving through three distinct waves, and it's important to understand which wave you’re riding.
Wave 1: Traditional AI (pattern-spotting): Your ‘eyes,’ traditional AI reads an invoice or spots a duplicate entry, turning messy input into cleaner data.
Wave 2: Generative AI (content-creating): Your ‘voice,’ generative AI understands context and creates content, reading a 20-page contract to summarise risks, or writing a tailored email to a debtor.
Wave 3: Agentic AI (task-doing): Your ‘hands,’ agentic AI plans, decides, reasons and takes action inside your system, completing a task from start to finish like a digital teammate.
Think of traditional AI as a pattern-spotter, generative AI as a content-creator, and agentic AI as the task-doer that plans, decides and then acts inside your systems.
The shift from spotting to creating to doing is what makes this wave different.
Under the hood, agentic AI uses the same large language model technology as generative AI, but instead of sitting behind a chat interface, it’s connected directly into your ERP.
This allows it to break a goal into steps, call the right tools or screens, complete workflows with guardrails, and loop a human in only where needed. MYOB’s Vais often compares this journey to the progression of self-driving cars.
At lower levels, you’re still doing the driving with some assistance. As capability increases, the system takes on more responsibility, but within defined boundaries. Agentic AI sits in that middle ground. It can take action, with controls in place and humans still involved at the right points.
The ANZ context: Why now?
Mid-size businesses in Australia and New Zealand face a unique set of pressures that make agentic AI a necessity rather than a luxury.
Talent squeeze: Australia and New Zealand have some of the highest labour costs globally. You cannot simply hire your way out of a backlog.
Compliance complexity: From STP Phase 2 in Australia to evolving New Zealand tax regulations, the administrative burden on mid-size teams is disproportionately high.
Spreadsheet busywork: Many ANZ firms operate with lean teams that spend up to 40% of their week manually moving data between spreadsheets and their ERP.
The urgency is also backed by data:
MYOB's Autonomous Business Report 2026 found that, while 75% report meaningful AI productivity gains, that figure climbs to over 90% for businesses that have embedded AI into core processes, and falls to 37% for those still in early stages (based on a survey of 1,000 Australian and New Zealand mid-size business leaders).
The gap between leaders and laggards is widening, and it's driven by how deeply AI is embedded in operations, not just whether it's been adopted.
“Agentic AI is important for local mid-size businesses because it turns AI from ‘insight’ into ‘action’. It helps them move from reactive, spreadsheet-patched operations to more autonomous, resilient businesses that can compete with larger global players.”
There’s also a broader point worth making in that choosing a local partner matters for ANZ businesses.
When your ERP processes payroll, manages supplier payments, and holds customer records, you need to know exactly where that data goes and which regulatory frameworks govern it.
This is where MYOB’s local AI Gateway approach matters. Its private-by-design architecture keeps your data within Australian and New Zealand sovereign control, ensuring compliance with local obligations in a way that many global platforms simply cannot guarantee.
Industry impact: Deeper work below the surface
On the surface, the difference between generative and agentic AI can seem abstract.
But a closer look at real industry scenarios reveals not just how different they are, but how significant the impact can be – particularly in industries where ERP systems are the backbone of operations.
While generative AI answers questions, agentic AI acts as a digital co-worker: Integrating with your data, making decisions in real time, and executing workflows end to end.
Manufacturing: The shop-floor orchestrator
In a typical manufacturing plant, a single machine breakdown can derail a week’s worth of logistics.
On the surface (generative AI): You ask the AI to summarise machine uptime for Tuesday and receive a report with recommended actions.
Below the surface (agentic AI): The agent doesn’t wait for your question. It monitors sensors and work orders simultaneously. If it identifies a bottleneck, it checks backup machine availability, reviews the staff roster, and pushes a pre-validated production reschedule to the manager’s phone – often averting a full day of lost output before anyone has even noticed the problem.
In practice, that means fewer production delays, less unplanned overtime, and a shop floor that keeps moving even when things go wrong.
Wholesale distribution: The replenishment agent
For wholesalers managing long shipping lead times, inventory represents locked-up capital.
At the surface (generative AI): You prompt the AI to write an email to your supplier requesting a bulk discount and receive a well-written draft.
Below the surface (agentic AI): The agent lives inside your SKU levels. It predicts a stock-out risk by cross-referencing seasonal trends with real-time shipping delays, then drafts purchase orders and calculates the most cost-effective inter-warehouse transfer – reducing urgent stock-outs and keeping freight costs to a minimum.
In practice, that means steadier cash flow, fewer emergency orders, and inventory levels that respond to demand rather than lag behind it.
Construction: The compliance guard
In the high-risk world of construction, ‘near enough’ is never good enough for compliance.
At the surface (generative AI): You ask what the current safety regulations are for scaffolding in Victoria and receive a list of rules.
Below the surface (agentic AI): The agent proactively monitors subcontractor rosters against your site schedule. It spots that a subcontractor’s insurance is expiring in 48 hours, automatically flags the risk, and queries your database for a qualified, compliant replacement – keeping the project on track and audit-ready.
In practice, that means lower compliance risk, fewer project delays, and less time spent manually tracking certificates and licences across a complex subcontractor base.
The pattern is clear: generative AI helps you think faster. Agentic AI helps your business move faster – handling issues before you even need to think about them.
From theory to reality: The MYOB Acumatica roadmap
Less than a year ago, agentic AI was little more than a concept. Today, the foundational layers of this technology are already being integrated into the MYOB Acumatica ecosystem.
What capabilities are live today
We’re already putting your data to work through three core capabilities:
AI automation: Eliminating the manual effort of data entry for AP bills and expenses.
AI advisor (anomaly detection): A proactive pattern-spotter that scans your data for risks, such as a reliable customer suddenly falling behind on payments.
AI gateway: Our secure architecture that connects your ERP to powerful language models without your sensitive business data ever being used to train public models. Built for the local market, it keeps your data within Australian and New Zealand sovereign control – a critical assurance for businesses operating under local compliance and data residency obligations.
These capabilities form the foundation for agentic AI inside ERP, moving from automation to insight to action.
What capabilities unlock next
As these foundations mature, they enable increasingly autonomous workflows: Agents that act on anomalies the moment they’re detected, coordinate across departments without manual handoffs, and complete multi-step processes end to end with humans in the loop wherever it matters.
Agentic AI isn’t about replacing your team. It’s about providing a digital workforce to handle the ‘doing’, so your people can focus on the ‘growing’.
Get started with 3 practical steps
You don’t need to overhaul everything at once. Here’s a pragmatic starting point for mid-size leaders.
1. Audit your manual workflows
Identify where your team spends the most time on repetitive, rule-based tasks – data entry, reconciliation, compliance checks. These are your highest-value targets for agentic AI.
2. Prioritise data readiness
Agentic AI is only as good as the data it acts on. Ensure your ERP data is clean, consistent, and consolidated before layering in automation.
According to the Autonomous Business Report 2026, data quality and integration is the top investment priority for mid-size businesses across every stage of the AI maturity journey – and businesses that treat it as a foundation, not an afterthought, consistently report stronger commercial outcomes.
3. Start with a single use case
Choose one high-frequency, lower-risk workflow – such as AP bill processing or inventory reorder triggers – and build confidence before expanding scope.
Uncovering real value
The real power of agentic AI lies beneath the surface in systems that reduce admin, boost accuracy, and execute work at a scale no lean team can match manually.
It's not a question of whether to use AI, but where it can take action in your business.
Frequently asked questions
What is agentic AI in ERP?
Agentic AI in ERP refers to AI systems embedded within your core business software that can plan, decide and execute multi-step workflows across finance, operations and supply chain – autonomously, not just on request.
How is agentic AI different from generative AI?
Generative AI creates. Text, images, summaries, etc.. Agentic AI acts to executes workflows, updates records and coordinates tasks. Put simply, generative AI thinks and agentic AI does.
Is agentic AI safe for Australian and New Zealand businesses?
Yes, when built on a private-by-design architecture. The MYOB AI Gateway ensures your data is never used to train public models and remains within your sovereign control – an important consideration given Australia and New Zealand’s local compliance and data residency obligations. Always ask your ERP provider how they handle data residency before enabling AI features.
Will agentic AI replace my finance or operations team?
No. Agentic AI replaces the repetitive tasks your team spends valuable time on – data entry, manual reconciliation, compliance checks – freeing them to act as strategic advisors to the business.
Information provided in this article is of a general nature and does not consider your personal situation. It does not constitute legal, financial, or other professional advice and should not be relied upon as a statement of law, policy or advice. You should consider whether this information is appropriate to your needs and, if necessary, seek independent advice. This information is only accurate at the time of publication. Although every effort has been made to verify the accuracy of the information contained on this webpage, MYOB disclaims, to the extent permitted by law, all liability for the information contained on this webpage or any loss or damage suffered by any person directly or indirectly through relying on this information.
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