Leadership can clearly explain where AI should create business value.
Know where you are.
Then know what to do next.
A practical benchmark across leadership, workflows, systems and data, governance, capability and deployment. Get your score immediately, then unlock a tailored 90-day action plan with your work email.
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AUSTRALIA / APPLIED AI01 / CONTEXT
Tell us enough to benchmark the right business.
No contact details are required to see your score. Assessment responses are stored without your name, email or company so the aggregate benchmark can become more useful over time.
INDUSTRY
EMPLOYEE RANGE
STATE / TERRITORY
02 / ASSESSMENT
18 questions. Six dimensions. About five minutes.
Rate the organisation as it operates today, not where you want it to be.
01
Leadership
AI priorities are connected to commercial goals rather than isolated experiments.
There is clear executive ownership for moving priority AI work forward.
02
Workflow
We understand which workflows consume the most time, cost or coordination.
Priority AI opportunities are described as workflow changes, not just tool ideas.
We can identify the people, decisions and handoffs that must change for AI to create value.
03
Systems & data
We know which systems and data sources priority AI workflows would need to access.
Important business knowledge is sufficiently structured or retrievable for AI-enabled work.
Integration constraints are understood before new AI solutions are selected.
04
Governance
We have practical rules for what data can and cannot be used with AI.
Human accountability is clear for material decisions, exceptions and sensitive outputs.
We have a way to assess vendors, models, access and risk as AI usage expands.
05
Capability
Teams understand how AI can change their work beyond basic prompting.
Managers know how to redesign roles and workflows around new AI capability.
We have internal champions or owners who can help adoption spread.
06
Deployment
At least one meaningful AI-enabled workflow is in production or close to production.
We measure adoption and business outcomes after AI solutions are deployed.
Successful AI patterns can be reused across teams, sites or functions rather than rebuilt from scratch.
0/18 ANSWERED
A national benchmark, built from real operating data.
As the response base grows, Identify can compare readiness patterns by industry, employee range and market. We will only publish aggregate comparisons once sample sizes are meaningful enough to avoid misleading conclusions.
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