While AI adoption has surged 282% globally, many Australian business leaders find themselves in “pilot purgatory”, where isolated AI experiments fail to scale or connect to the bottom line.
For Australia’s emerging businesses, moving past this stage isn’t just a tech goal; it’s an economic necessity.
According to the Productivity Commission, AI has the potential to increase labour productivity growth by 4% over the next decade, adding $116 billion to GDP. It also has the potential to reverse a recent trend, where we are working record hours but delivering less, often due to inadequate tools and the sheer volume of mundane tasks, which currently consume 41% of an average employee’s time.
This productivity gap persists because we are treating AI as a series of isolated tools rather than the essential infrastructure required to convert raw data and intelligence into real work. To turn the tide, Australian SMEs must move from ‘experimenting’ to ‘orchestrating’, building an intelligent network, where agents are coordinated and orchestrated across teams, functions, and even organisational boundaries.
Leaders need to ensure AI systems across different departments actually talk to one another, by putting in place appropriate what we call ‘multi-agent protocols’. This is the shared language and set of rules that allow different AI agents to communicate and work together across different platforms.
The next step is moving away from data silos and integrating them into a single context, so the AI has a unified, real-time view of the whole business. That context combines all of an organisation’s scattered information—like customer records, transactions, and emails—into a single, trusted foundation so that AI agents have the specific business understanding they need.
But scale is impossible without trust. For an emerging brand, an AI agent represents your reputation. Every interaction must be ethical and context-aware.
At Salesforce, this is handled by Agentforce’s hybrid reasoning approach, designed to enable AI agents to blend the creative, generative capabilities of Large Language Models (LLMs), with the strict, deterministic, and rule-based logic required for enterprise business processes.
Simultaneously, as cyber threats become more sophisticated, businesses must move from reactive defense to AI-powered anticipatory security. To ensure AI operates ethically and safely, business leaders need to have robust governance in place.
Once these foundations of trust and data are established, they unlock a business’s most potent competitive advantage: Relational Intelligence.
In Australia, 78% of consumers expect consistent, personalised service across departments due to AI, and 50% of consumers say poor customer service experience will stop them from making a repeat purchase from a company or brand. This makes “Relational Intelligence”, the ability of an AI to remember a customer’s history and preferences over time, the new competitive battleground.
We are already seeing local pioneers use Agentforce to meet these demands. For leading renewable energy specialist RenewCo, the implementation of Agentforce and Data 360 has helped the business successfully manage a 400% surge in new leads and opportunities.
Along the way, the company effectively doubled its client base while reducing manual customer inquiries by 40% through AI-powered self-service and triage. For CEO and co-founder Mark Summerville, the shift is set to help support the businesses scale and ambition, while driving greater efficiency in the process.
Meanwhile, at Farm Focus, provider of agri-business software to farmers across Australia and New Zealand, Salesforce has replaced a fragmented technology environment with a single platform. Data 360 now provides sales and service teams with an immediate, single view of the customer, while Agentforce operates around the clock to respond to the 12,000 annual questions the business receives through chat alone, with agent ‘Daisy’ escalating queries to farming experts simply and effectively.
Agents are not just saving these businesses time. It is triggering a shift that will move human staff from the frontlines of data entry to the high-value roles of judgment and complex orchestration. Do this, and local SMEs will be well on their way to AI fluency, with the ability to confidently collaborate with AI and drive business impact at speed.
As agents handle routine scheduling, follow-ups, and data entry, human roles must pivot toward judgment, orchestration, and complex relationship management. Australian knowledge workers are eager to use AI tools at work, with their expectations around what is possible on the rise.
This requires a commitment to universal AI literacy. With 83% of Australian C-suite executives using AI but only half feeling proficient, the “skill shelf life” is collapsing. Forward-thinking SMEs are already reskilling teams and redesigning jobs to be “mosaics” of human-AI collaboration.
The Workforce Innovation Playbook is clear; redesign, reskill, redeploy and rebalance are the four “Rs” at the heart of any workforce transformation.
For local businesses seeking to scale, the infrastructure is ready, especially for those organisations embracing Salesforce Suites, putting agentic AI into the hands of emerging and small business leaders.
Success in 2026 and beyond will belong to the leaders who have the courage to move beyond isolated pilots and commit to an integrated, autonomous digital workforce. The ‘agentic enterprise’ isn’t a distant vision. For the most competitive Australian businesses, it’s already here.
Stephanie Wells brings 15 years of experience at Salesforce, helping organisations streamline operations and drive success through innovative, efficient solutions. A passionate advocate for women in tech and a dedicated mom, Stephanie pairs deep technical expertise with a people-centred approach to deliver lasting impact for clients.
Salesforce, the global leader in customer relationship management (CRM), empowers companies to connect with their customers in a whole new way.
