AI ambition alone won't deliver business outcomes

One of the reasons I most look forward to Dell Technologies Forum is the opportunity to hear directly from Australian business leaders about where they are on their AI journey.

This year, the shift is clear. The question is no longer whether to adopt AI. It is how to translate AI investment into measurable gains in productivity, operations and customer outcomes.

For many organisations, ambition is running ahead of readiness. According to Dell Technologies research conducted by Vanson Bourne, 53% of Australian organisations say they are struggling to keep pace with disruption, despite AI being a major investment priority.

There is no shortage of intent. The harder task is developing the connected technology strategy that takes AI beyond a pilot or proof of concept and turns it into real business value.

The fragmentation problem

That is where many organisations run into difficulty. As technology environments have grown more complex, responsibility for AI, infrastructure, workplace technology and cybersecurity has often been split across different teams, budgets and planning cycles. While that reflects the level of specialisation now required, it also makes coordinated execution harder.

AI does not sit neatly within one function. Its effectiveness relies on data access, infrastructure, devices, security and governance, all of which cut across the organisation.

Infrastructure choices shape cost, security and where workloads can run. Workplace technology determines whether employees can use new capabilities effectively. Security and governance have to operate across the whole environment.

Australian organisations understand this challenge. Around 80% of respondents say treating AI, workplace and data centre modernisation as separate initiatives makes efficient operation harder. The organisations that move fastest will be the ones that connect these decisions, rather than manage them in isolation.

Data and infrastructure are the foundation

AI readiness starts with data readiness. The same principle still applies: if the data is fragmented, inaccessible or poorly governed, AI outcomes will be too. Before organisations scale AI, they need confidence that the data powering it is accessible, high quality and governed appropriately.

In addition, 70% of Australian organisations say their data centres are not fully prepared for demanding workloads such as AI, advanced analytics and modern applications. Many are contending with a mix of traditional and modern workloads, fragmented management tools, unpredictable costs and infrastructure models that are too rigid for what comes next.

The first step is an honest assessment of readiness. Leaders need to understand whether their data is usable, whether workloads are running in the right environments, whether infrastructure can scale without adding unnecessary complexity, and whether resilience is built into the architecture from the start.

Without that foundation, AI ambition will keep outrunning delivery.

Moving from pilot to business outcome

That alignment matters even more as AI moves from experimentation into day-to-day operations. Today, 20% of Australian organisations say they are already operating in this phase, up from just 5% a year earlier. It is a significant jump and a clear sign that AI is becoming part of how business gets done, not just a tool for innovation teams.

The highest-impact investments are those tied to clearly defined workflows where AI can remove friction, accelerate decisions and improve business performance in measurable ways. This means helping employees complete higher-value work faster, reducing operational complexity and turning data into insights that improve service, lower cost, strengthen resilience or unlock growth. The goal is not to automate activity for its own sake. It is to apply AI where the return is visible to the business and where success can be measured in outcomes, not experimentation.

But momentum alone is not enough. Trust remains one of the biggest barriers to scale. Nearly seven in ten Australian organisations say security, compliance or privacy concerns have already slowed or paused AI adoption.

Scaling AI goes beyond a model decision. Organisations need secure infrastructure, clear governance and confidence in where their data and AI models reside. It allows them to move beyond isolated pilots and deploy AI in a way that is secure, compliant and capable of delivering measurable value.

Modernisation must reach employees too

Even the most sophisticated AI platform delivers little value if it never reaches the people expected to use it.

Employee experience is often treated as a secondary consideration in AI conversations, but it is central to adoption. There is little point investing in advanced capabilities if employees cannot access them easily in the flow of work.

Most organisations surveyed said modern devices improve collaboration and meeting quality, while outdated technology limits their ability to adopt AI-enabled applications. Incorporating AI assistants into everyday workflows, requires organisations to considerer the employee experience, from devices and applications to security, identity and ongoing support.

Enterprise AI creates value when intelligence is delivered in context, helping employees make better decisions, automate repetitive tasks and spend more time on work that requires judgement. Modernisation should make people more effective, not just make technology more advanced.

Move in the right order

There is no one-size-fits-all path to AI transformation, and every organisation will move at its own pace.

But the organisations that realise the greatest value will have one thing in common: they will get the foundations right first. They will build secure, resilient data environments. They will scale AI with governance in place. They will equip employees with the right tools. And they will measure success by business outcomes, not by how much technology they deploy.

That is why I am looking forward to the conversations at Dell Technologies Forum. Across Australia, organisations are moving beyond the question of what AI could do and focusing on what it must now deliver.

The challenge now is connecting data, infrastructure, security and people in the right order so AI ambition becomes tangible business outcomes.

The Dell Technologies Forum will be held in Sydney on 11 August or Melbourne on 2 September to continue the conversation and explore practical strategies for turning AI ambition into measurable business outcomes. Register here.

Image credit: iStock.com/Just_Super