From where we sit in the Business Systems world, the honest answer is it depends on what you plug the intelligence into.
Standalone AI is useful. Integrated AI is where it gets interesting. They can summarise, draft, suggest and search. But without access to the systems that actually run your business, they are a bit like a very clever intern with no context: occasionally useful, often confident, and not always right.
The real value shows up when AI is wired into the boring-but-critical core; finance, supply chain, HR and payroll, where your real data lives.
That is where ERP comes in.
Modern Enterprise Resource Planning (ERP) platforms are rapidly evolving from systems of record to systems of decisions: they don’t just tell you what happened; they increasingly suggest what should happen next.
Think anomaly detection that flags dodgy transactions before your auditor does, or demand predictions that adjust purchasing before your warehouse fills up with the wrong stock.
That is a very different conversation from “let’s add a chatbot”.
The future is “copilot” not “autopilot”
One of the more dangerous AI myths is that we’re close to fully autonomous businesses. We’re not – and that’s good news.
The more realistic shift is human-in-theloop ERP. AI sits alongside your team inside the workflow. It surfaces insights, drafts actions, recommends next steps and asks for confirmation.
Leading ERP vendors are putting a timely spotlight on this direction – SAP’s Sapphire 2026 conference, for instance, focused on the ‘Autonomous Enterprise’: AI assistants and agents working with people across business processes, data and governance. The useful part for local businesses is not the label. It is the principle behind it: AI becomes more valuable when it is grounded in the systems, rules and data that already shape how the business runs.
Examples turning up in modern ERP environments today include:
- Suggested payment runs that balance discount capture with cashflow.
- Predictive maintenance prompts that schedule downtime when it hurts least.
- Smart routing in manufacturing that optimises for throughput rather than tradition.
In other words, the system gets better at the grunt work, so your people can spend more time on decision making – and less time wrestling spreadsheets created in 2009 by employees who no longer work here.
Why ERP is the right place to start
If AI is the engine, data is the fuel, and ERP is the tank that actually fits under the vehicle.
ERP holds your most complete, governed view of customers, products, money and people.
When you add AI into that environment you get three big advantages:
- Cleaner, structured data and master data management.
- Standard processes that can be measured and optimised.
- ERP systems already come with security, permissions, audit trails and governance frameworks.
That last point matters. Once systems start making or recommending decisions – approving credit limits, releasing orders, suggesting price changes – governance stops being optional. Leading organisations are treating AI in ERP as much a risk and change discipline as it is a technology play.
Where Lagom fits in
At Lagom, our day job is helping organisations navigate complex ERP transformations across finance, supply chain, procurement, HR, and payroll. Increasingly that means being a reality-check on AI expectations.
We see our role less as “AI evangelists” and more as translators: mapping AI capabilities in ERP platforms to very specific outcomes – faster month-end, fewer stockouts, better project margins – and cutting out experiments that will never get past a business case review.
Our philosophy is in the name: “Lagom”, meaning ‘just the right amount’. Enough AI to move the needle, not so much that you need a steering committee and a million dollars just to understand your own dashboards.
If you remember one thing, make it this: AI won’t magically fix broken processes or messy data. “Integrated into a well-designed ERP, however, it can quietly become one of the most useful productivity tools in the business.”
