What's Your AI Readiness Score for B2B Operations?

Discover where your organisation stands on AI integration. In just 4 quick questions, we'll assess your current operational maturity, identify critical gaps, and reveal the exact steps Australian B2B leaders are using to gain competitive advantage. Get your personalised readiness report and actionable roadmap—no fluff, just real insights.

How would you describe your organisation's current approach to data-driven decision-making?

We rely mainly on intuition and historical experience; data analysis happens ad-hoc when needed. We collect data regularly, but analysis is manual and often delayed; insights come weeks after events. We have some automated reporting and dashboards, but predictive insights are limited. We use advanced analytics and predictive models to guide strategic decisions in real-time.

Which of these operational challenges is most pressing for your B2B business right now?

We're losing ground to competitors who seem to move faster and make smarter decisions. Our processes are efficient enough, but we're concerned about scaling without proportional cost increases. We have inefficiencies in supply chain, customer data processing, or predictive forecasting. We've already identified specific use cases for AI and are planning implementation.

What's your organisation's readiness in terms of data infrastructure and quality?

Our data is scattered across systems; we're not sure of its quality or how to access it systematically. We have some centralised data storage, but data quality issues and gaps are common. Our data infrastructure is solid, but we're still working on standardisation and quality controls. We have robust data governance, quality assurance, and clear processes for data management.

How prepared is your team to adopt and work with AI-powered tools?

There's significant resistance to change; most staff see AI as a threat rather than an opportunity. There's interest, but limited understanding; we'd need substantial training and change management. Key teams have basic AI knowledge; we have a plan for training, but execution is just beginning. Our team is engaged and skilled; we've already run pilots and are confident in scaling AI tools.