Observability & AI spark Australia’s business edge

Once upon a time, observability sat quietly in the background - a way to ensure systems were running smoothly and users stayed connected. Today, it's fast becoming the backbone of business growth, giving leaders the visibility and confidence to act faster and smarter.

Behind every bold business move or innovation is an essential spark - a moment of insight that turns data into action. It might open a door to a new revenue stream or uncover an overlooked feature that becomes key to customer engagement. These moments don't happen by accident; they're fuelled by observability. 

In Australia, as organisations strengthen their cyber resilience, embrace the responsible use of AI, and protect data sovereignty, observability is emerging as the force driving progress in strategy and performance. It's helping leaders see across complex digital ecosystems, anticipate risk, and move with the clarity and speed the modern economy demands.

Observability powers business outcomes 

Around the world, organisations now recognise every software decision has business wide-consequences, influencing customer experience, brand trust, and growth. The real challenge is knowing why those outcomes occur. Did revenue rise because of a new feature release or a marketing campaign? Is a drop in engagement tied to performance issues or friction in the user journey? 

Observability now answers those questions. Not just what is broken, but why it's happening and what it means for the business. By capturing business metrics alongside system data, it helps teams go beyond fixing issues like checkout failures or performance bottlenecks to uncovering how those moments affect conversion, satisfaction and loyalty.   

Splunk's State of Observability Report 2025 report shows 74% of organisations globally say observability improves employee productivity, while 65% link it directly to revenue growth. Another 64% say observability informs their product roadmaps – clear proof observability is evolving into a key performance driver for the digital economy. 

Australia leads the next wave of observability 

Australia is fast emerging as a proving ground for how observability and AI can deliver measurable business benefits. Rather than treating observability as a technical metric, leaders are using it as a lens to understand how digital performance fuels growth, resilience and customer trust. 

The latest data from Splunk reveals 45% of Australian respondents say they're optimistic about the benefits AI can bring to their teams – well above the global average of 36%.  That optimism is translating into action: 87% say AI has allowed them to spend more time innovating rather than maintaining systems, while 36% report frequent use of OpenTelemetry to gain unified visibility across complex environments. Nearly eight in ten of those users also link observability directly to revenue growth. This shows Australian organisations aren't just collecting data, they're acting on it. 

One practical example is Apromore, a Melbourne-based process-mining and AI analytics firm. By using Splunk's unified observability and security platform, Apromore automated analysis, improved log-management efficiency by 400%, and gave engineers time back to focus on developing new products and improving customer experience. It's a tangible case of how Australian organisations are moving from system monitoring to system intelligence - using observability as the foundation for faster, evidence-based decision-making.

How to become a business catalyst

The organisations leading in digital resilience and AI readiness understand that insights from observability don't solely belong to IT or engineering teams; they shape decisions across the business. Here's how organisations can evolve their observability practices to spark tangible business results. 

Limit war rooms and reactivity. Panicking is rarely the best way to respond to a customer-facing incident, yet many organisations still rely on all-hands "war rooms" to troubleshoot outages. This approach grinds productivity to a halt and drains valuable resources. The most mature teams use observability to isolate incidents quickly, enable ITOps, engineering, and security teams to work in parallel, and embed post-incident reviews as part of their process. These reviews aren't just about preventing repeat mistakes - they're a catalyst for continuous learning and improvement.

Get a handle on alerting. False alerts are one of the top sources of stress for ITOps and engineering teams, and improving alert quality pays dividends across the business. High-performing organisations fine-tune thresholds to focus on valid signals, use adaptive thresholding to dynamically adjust baselines, and apply alert suppression sparingly. The goal isn't fewer alerts - it's better alerts that drive faster, more confident responses.

Set standards for data quality to reap AI benefits. Data quality remains one of the biggest barriers to effective observability. The most advanced teams establish clear ownership of telemetry data, define consistent standards across systems, and enrich that data with business context - such as application versions, environments, or customer segments. With richer, more reliable data, AI and automation can deliver deeper insights that directly inform business and operational outcomes.

Dip a toe in the water of forward-looking tech. Business catalysts stand out for their commitment to forward-looking technologies like OpenTelemetry, code profiling, and observability-as-code. These teams don't try to modernise everything at once. They start with their biggest bottlenecks, experiment, and scale what works - sharing knowledge across teams to build an organisation-wide culture of observability. Over time, this continuous experimentation transforms observability from a support function into a strategic advantage.

Observability has become the spark that keeps modern businesses moving. For Australian organisations competing in an increasingly data-driven economy, its value lies not in what it monitors, but in what it makes possible - faster decisions, stronger resilience, and smarter innovation. The next wave of business catalysts won't just observe change; they'll lead it.