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"Legacy software" is a term that gets used frequently in conversations about desktop business management software, but what does it actually mean? With the pace of change in software showing no signs of slowing – from the rise of cloud architecture to machine learning to agentic AI – it can be difficult to assess with confidence where your current solution sits between “too old” and “cutting-edge”.
Is your business falling behind? Or are you running a proven, stable platform with years of productive life still ahead of it?
The answer depends on understanding the software lifecycle, the stages that all business software moves through over time and what those stages mean in practice for the businesses who depend on it. For organisations planning their technology strategy over the next one to three years or beyond, the software lifecycle is a practical framework to help guide your thinking.
1. What is the software lifecycle?
Most business software follows a predictable lifecycle over time. The software lifecycle follows 5 distinct stages.
Innovation
Growth
High performance
End of life
End of support
These stages don’t happen overnight. For mission‑critical systems like ERP and payroll, a full lifecycle can easily span 5-10+ years or more between peak performance and eventual end of support.
Innovation
In the innovation stage, new software is focused on proving a new approach or solving a very specific problem. Products here are:
Rapidly evolving.
Narrower in scope.
Used by early adopters willing to trade stability for innovation.
At this stage, the product is still finding its fit and may not yet cover all the capabilities larger businesses require.
Growth
As adoption increases, successful products move into the growth stage. The product becomes more capable and starts to ramp up for mainstream use. You’ll usually see:
Faster feature releases.
Increasing investment in scalability and reliability.
Early industry‑specific capabilities.
More integrations, security and usability improvements.
Many of today’s cloud ERPs spent the 2010s in this “growth” phase, as businesses tested whether core finance and operations could comfortably run in the cloud.
High performance
The high performance stage is the long middle portion of the software lifecycle. This is where software is:
Proven and widely adopted.
Rich in features and deep functionality.
Stable and predictable day to day.
Surrounded by a strong ecosystem of partners, add‑ons and customisations.
For many years, systems in this band form the backbone of day‑to‑day operations. Updates tend to focus on compliance, regulatory change and incremental enhancements rather than big paradigm shifts.
As an example, MYOB Acumatica is now in this high performance stage after a period of growth. Older, more established desktop platforms like MYOB Exo Business and MYOB Greentree sit in the later stages of ‘high performance’: long-proven ERP platforms that thousands of organisations continue to run on, but which are being supplanted by more modern, future-fit cloud alternatives.
End of life
Over time, previously high-performing software moves further through the lifecycle and reaches end of life. This is when:
Innovation in that category has clearly shifted elsewhere. Today, that’s typically to cloud platforms.
The underlying technology stack (development tools, databases, operating systems) is no longer evolving.
Key third‑party components become difficult or impossible to replace.
The software vendor announces the structured retirement of the solution.
End of support
Finally, products reach end of support. This is the point at which the vendor no longer provides updates, security fixes or formal support, and businesses using the solution are expected to have migrated elsewhere. A recent example of this is MYOB Exo Employer Services (Payroll). Built on an older FoxPro technology stack, it has moved through high performance into end of life and on towards end of support, with MYOB continuing to support customers as they move to other solutions, including modern cloud payroll.
2. A short history of business software: from desktop to cloud
To understand why the lifecycle matters now, it helps to zoom out.
1980s–1990s: Desktop and client–server systems revolutionised business computing. ERPs like MYOB Exo Business and MYOB Greentree emerged to help organisations that had outgrown basic accounting software, bringing finance, inventory, jobs and more onto richer on‑premise platforms.
2000s: Hosted and “web‑enabled” models appeared. Many desktop systems could be accessed remotely via VPNs or hosting partners, but the core architecture remained on‑premise.
2010s–2020s: Cloud and SaaS became the primary innovation engines. Vendors began designing products “cloud‑first”, with web interfaces, modern APIs, and managed infrastructure and security.
Today, almost all major innovation in ERP and adjacent tools, from advanced analytics to AI‑assisted workflows, is happening on cloud platforms. Desktop systems haven’t suddenly become “bad”; they were built for a different era, and their underlying architecture can make it harder to keep pace with what’s now possible in the cloud.
3. You’re on a mature desktop ERP: what does that mean in practice?
If you’re running MYOB Exo Business or MYOB Greentree for example, you’re on a mature desktop ERP. That brings strengths and some growing trade‑offs.
What stays the same for MYOB Exo Business and MYOB Greentree
MYOB Exo Business and MYOB Greentree remain fully supported by MYOB.
They continue to receive updates, particularly for compliance and regulatory requirements.
Many businesses still run complex operations successfully on these systems today.
Where maturity can start to feel like constraint
As organisations grow in complexity, or expectations evolve, familiar patterns tend to emerge in MYOB Exo Business and MYOB Greentree environments.
Reporting and visibility
Getting a clear view by division, entity, region or product line often means exporting to Excel and rebuilding reports manually.
Board packs and management reports can become fragile spreadsheets that only a few people know how to maintain.
Integrations and bolt‑ons
Desktop ERP often sits at the centre of a web of add‑ons – separate CRM, payroll, ecommerce, warehouse and BI tools – stitched together with custom integrations or manual exports.
Data is copied or re‑keyed between solutions, increasing delay, error risk and reconciliation effort.
Upgrades, servers and third‑party components
Software upgrades can feel like mini‑projects that risk disrupting customisations and integrations, so it’s tempting to fall several versions behind.
Server renewals, database and operating system upgrades, and updates to third‑party components keep resurfacing on IT and finance agendas.
Over time, some of those components (or the tools they rely on) become harder to support or replace, especially where older technologies are involved.
Risk, security and compliance
Your organisation carries more of the responsibility for backups, patching and disaster recovery than it would on a managed cloud platform.
Proving and maintaining compliance – for example, around data privacy or audit trails – can become more admin‑heavy when data is scattered across systems.
None of these factors alone may force you to move tomorrow. But together, they increase cost, complexity and risk year after year, particularly as expectations around security, reporting and integration continue to rise.
4. Why innovation is now centred in the cloud
The shift isn't accidental. Cloud architecture fundamentally changed what's possible – and economically viable – for software vendors to build and maintain.
On-premise software requires every customer to run their own infrastructure: their own servers, databases, and operating environments. That fragmentation makes it expensive and complex for vendors to deliver meaningful new capability at scale. Updates become large, risky projects. Supporting many versions across many environments consumes engineering resources that could otherwise be invested in innovation.
Cloud platforms changed that equation. When all customers run on shared, managed infrastructure, vendors can ship improvements continuously rather than in annual release cycles. The cost of delivering new capability drops, and the feedback loop between what customers need and what vendors can build tightens dramatically.
That structural advantage has compounded over time. The concentration of R&D investment in cloud platforms through the 2010s and 2020s has created a widening gap in capability, particularly in areas like analytics, workflow automation, and AI, where the underlying infrastructure requirements are significant. These capabilities are being built cloud-first because that's where the architecture, the investment, and the talent are.
For businesses on desktop ERP, this shift doesn't mean the software they're running has suddenly stopped working. It means the gap between what's available on modern platforms and what's feasible to backport to older architectures is growing, and most importantly, will continue to grow.
5. Desktop today, cloud tomorrow: how to use the lifecycle in your planning
Recognising that you’re on a desktop ERP in the tail end of the high performance stage gives you a clearer lens for planning. You have time to plan your medium and long-term technology strategy, but you should start today. Here’s a practical way to apply the lifecycle idea to your tech strategy:
1. Map where each core system sits in its lifecycle
For ERP, payroll, CRM and other critical tools, ask: innovation, growth, high performance? Be honest about underlying technology and support, not just surface features. If you need support, your existing software vendor is usually best placed to provide specific advice.
2. Identify upcoming decision points
Note any major events in the next 3–5 years that will force a conversation anyway:
Server or hosting renewals.
Required database or operating system upgrades.
Expansion into new regions, acquisitions or major reorganisations.
3. Capture the biggest pain points
This might include:
Slow or manual reporting and consolidation.
Heavy reliance on exports and spreadsheets.
Integrations that are brittle or hard to extend.
Growing security and compliance expectations that are stretching on‑premise controls.
4. Explore what a modern cloud ERP could change
Use those pain points as a lens, not a shopping list. Instead of asking “Do we want new ERP?”, ask “Are we comfortable carrying these costs and risks for another three to five years?” and “What would change if we addressed them in the cloud?”.
5. Decide on timing windows, not fixed dates
Often, the right answer isn’t “now or never”, but “within the next upgrade cycle” or “aligned to our next major business change”, so you can plan migration on your terms rather than reacting to a crisis.
Planning your tech strategy? Speak to us to plan your next best step forward
Whether you’re simply mapping your software lifecycle or actively weighing up desktop vs cloud, a conversation with MYOB or your MYOB Business Partner can help you turn that thinking into a practical roadmap from desktop to the cloud when the time is right.
Disclaimer: 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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