A new ERP era is emerging as Australian organisations start to take a closer look at the value these core platforms deliver in the age of AI.
A major issue for many is how to move beyond vendor-driven maintenance cycles and upgrades, with limited ROI visibility, to more modular solutions that support AI innovations.
ADAPT’s data shows that only 37% of organisations are engaged in ERP modernisation programs with most remaining on vendor maintenance.
CIOs cite legacy risk and vendor-pressured migrations as the top barriers to gaining the agility they need from these core platforms.
Large Christian charity organisation, Mission Australia, is in the fortunate position of running a collection of Microsoft, Workday and ServiceNow cloud and SaaS platforms, alongside some smaller niche systems, that have been continuously evolving over recent years.
“We are certainly getting quite good value out of them. Could we get more? Absolutely. That’s the ticket we need over the next couple of years [to] provide a really strong, integrated platform approach that targets the key things the business needs”, says Mission Australia’s Chief Information Officer, Peter Smith.
Like many organisations, Peter says a significant ERP gap has emerged in its data architecture, ensuring that data is high-quality and understandable, while also reducing integration work.
“We’re crafting an approach that says, ‘we’re going to integrate once; we’re not going to integrate 15 times’ and really getting that level of efficiency so that we reduce the process debt, make it more efficient and achieve better visibility of what is happening.”
AI to reduce process debt, improve service
Peter says Mission Australia has an appetite for AI technologies and is taking a “measured approach” to deployments, first bedding down governance, risk and compliance policies.
“Now, we are working on how we build those things out and where they make the most sense. I think the challenge for us is finding the pieces and the use cases that really add value, that justify the cost and the time focus because we’re all time poor.”
Peter says the organisation uses Microsoft Copilot Studio, a low code platform for building AI agents with “some connection” to Microsoft Foundry, the Azure platform-as-a-service offering for AI operations and app development.
AI will play a role in helping Mission Australia reduce process debt and better support its 2400 staff who deliver services to people in need across the country.
Mission Australia is exploring the best ways to use gen AI to dictate case notes, improving the quality of observations, reducing the time taken to produce them and providing automatic follow up for clients.
“It’s [about] reducing time and [improving] efficiency, but we’re also adding in quality uplifts. We’re training it [AI] to create better and more inclusive case notes for people. That will lift the quality of our case notes….it hasn’t been proven yet, but I believe it will lift the quality of care for clients.”
Peter says that agentic AI could also be used to automate the process of referring clients to additional service providers or identifying new information that field workers need to provide to people.
“I think eventually that will lead towards agentic AI dealing with clients directly to support them even more. That’s critical for us; anywhere we can reduce the cognitive load on our staff [and] increase their capability to support clients better, anywhere we can reduce admin overhead, that’s what we are working on.”
Peter adds that AI is still a “way off” from being deployed at scale as [AI] compliance policies already in place need greater maturity.
“They all need to be repeatedly carried out before I am comfortable rolling out AI on a massive scale. We’re already playing with some elements now, testing them out…but we need to make sure that our data and information [about] our clients and staff is protected at all times. So, we take a measured approach but we’re fairly ambitious at the same time.”
AI ball in the CIO’s court
Peter is responsible for Mission Australia’s AI strategy which he says is logical given the complexity of the technology.
“But I do believe that all execs will need to have a deeper understanding of, and responsibility for, these issues and concerns going forward; the same as they do now for cyber security.
“Every exec is responsible for understanding the impact of cyber security and whether they’re following the line in that space.
“It’s the same with AI and [we’re] willing to do more work to educate and support them…as we do with the Board, to make sure they understand it as well. Luckily, our [execs and Board] do to a large degree, so I’ve got some good support there.”