AI Execution: The New Battleground for ANZ Businesses

MELBOURNE, Australia – May 04, 2026 – A stark new reality is emerging across the corporate landscape of Australia and New Zealand: simply adopting artificial intelligence is no longer enough. The true competitive advantage now lies in execution. A landmark report released today reveals a rapidly widening performance gap between organizations that strategically embed AI into their core revenue operations and those still in the experimental phase, with the divide in the ANZ region proving more pronounced than anywhere else in the world.

The findings come from the 2026 State of Strategic Response Management (SRM) Report: Australia and New Zealand Edition, published by SRM leader Responsive in partnership with the Association of Proposal Management Professionals (APMP). Based on a comprehensive survey of nearly 300 ANZ business leaders and practitioners, the study highlights that how a company manages its strategic responses—such as Requests for Proposals (RFPs), security questionnaires, and due diligence requests—has become a critical determinant of its success. The ANZ data is part of a larger global study of over 1,100 decision-makers.

The Widening Divide Down Under

While AI adoption is progressing steadily in the region, the report uncovers a crucial distinction between mere use and deep operationalization. This has created a two-tiered market of 'Leaders' and 'Novices'. The report’s SRM Maturity Index, which evaluates how effectively organizations manage institutional knowledge, identifies the top 20% of organizations as 'SRM Leaders'. These companies are not just outperforming their less mature peers; they are setting a new standard for growth.

In Australia and New Zealand, this performance chasm is exceptionally wide. An overwhelming 89% of ANZ Leaders reported year-on-year revenue growth, a figure that is 11 points higher than even the leading organizations globally. The data paints a clear picture of a market where strategic AI implementation offers an outsized reward. The most telling statistic reveals the deployment gap: 83% of ANZ Leaders have fully deployed AI within their strategic response workflows, compared to just 41% of less mature organizations. This 42-point difference is more than double the gap seen in global averages, underscoring a unique dynamic of both immense opportunity and significant risk for local businesses.

Companies that fail to move beyond surface-level AI experimentation are not just falling behind; they risk becoming competitively irrelevant in a market where buyers demand faster, more accurate, and highly personalized information.

From Automation to Revenue Acceleration

The tangible business impact of this strategic divide is most evident in financial performance and sales efficiency. The report directly links mature SRM practices, supercharged by AI, to stronger revenue streams. Among ANZ Leaders, 85% reported an increase in revenue directly attributable to their RFP and strategic response processes, compared to only 72% of their novice counterparts. This 13-point advantage demonstrates that mastering response management is no longer an administrative function but a core revenue driver.

“Organizations pulling ahead are embedding AI into how they prioritize opportunities, make decisions, and activate knowledge across the business,” said Ganesh Shankar, CEO of Responsive. “Their advantage in growth, sales velocity, and rep productivity shows that execution is paying off.”

This advantage extends deep into the sales organization. The study found that by leveraging centralized knowledge hubs and AI-guided workflows, sales teams at leading ANZ companies operate with far greater speed and autonomy. An incredible 94% of ANZ Leaders reported higher sales representative efficiency, and 92% confirmed faster sales velocity. By equipping teams with instant access to validated, up-to-date information, these organizations are compressing sales cycles and freeing up their most valuable talent to focus on building relationships and closing deals, rather than searching for answers.

The Overlooked Dividend: Employee Satisfaction

Beyond the impressive metrics of revenue and speed, the report uncovers a powerful, and often overlooked, human-centric benefit of effective AI operationalization: a dramatic boost in employee satisfaction. Among ANZ Leaders, 91% reported strong employee satisfaction, a stark contrast to the 63% reported by novice organizations. This 28-point gap highlights how strategic technology implementation directly impacts workplace morale and engagement.

When AI is integrated thoughtfully, it automates the repetitive, low-value tasks that often lead to burnout, such as manually searching for content and copy-pasting answers for questionnaires. This frees professionals to concentrate on more strategic, high-impact activities like tailoring proposals, refining strategy, and collaborating with subject matter experts. Empowered by tools that provide reliable information and decision support, employees feel more effective and valued. This higher satisfaction translates into better retention, a stronger company culture, and ultimately, a more stable and experienced team capable of consistently delivering high-quality work.

What Defines an AI Leader?

The report makes it clear that becoming an AI Leader is not simply about purchasing new software. The SRM Maturity Index defines leadership through a holistic framework focused on how organizations capture, govern, and operationalize institutional knowledge. Leaders differentiate themselves by using AI for advanced functions like decision support, content validation, and large-scale knowledge retrieval, rather than just basic automation.

This maturity is built on a foundation of centralized knowledge, enabling self-service access for teams across the business and integrating AI directly into daily workflows. As buyers become more demanding—a trend highlighted in Responsive’s 2025 Inside the Buyer’s Mind report—the ability to respond with speed and precision is paramount. Organizations that have operationalized their knowledge and AI capabilities are uniquely positioned to meet these expectations, accelerating their time to revenue while enhancing the customer experience.

To guide organizations on this journey, the report outlines a practical 12-month roadmap based on a five-pillar maturity model. The focus is on helping companies centralize their critical information, scale self-service capabilities, integrate AI meaningfully into workflows, and, most importantly, tie their response efforts directly to measurable revenue outcomes. For businesses in Australia and New Zealand, the message is unequivocal: the race is no longer about AI adoption, but about mastering its execution.