Frontrow Technology

Free tool · 5 minutes

AI READINESS ASSESSMENT.

Five dimensions. One score. A 90-day plan you can take to the board. Built for Australian leaders sick of vendor-grade AI "roadmaps".

Score each dimension, 1 – 5

How ready is your organisation for AI — really?

Five dimensions. Pick the statement closest to the truth for your business today. No wrong answers.

  • Data readiness

    Is your data in a shape AI can actually reason over?

  • Governance & security

    Identity, permissions, DLP, audit — the safety rails for AI.

  • Workflow integration

    Where will AI actually get used in the business?

  • Adoption capability

    Will your team actually use it when it arrives?

  • Capacity to invest

    Can you actually fund and run an AI program right now?

FAQ

Common questions on AI readiness in Australia

What does AI readiness actually mean for an Australian business?
AI readiness is the combination of data hygiene, identity posture, governance, capacity and adoption discipline that lets a Microsoft 365 Copilot or Azure AI rollout produce real productivity. The assessment scores all five dimensions because Copilot can be technically deployed in a day, but failed deployments share a common pattern: oversharing in SharePoint, weak identity controls, no governance, and no plan for who uses it for what.
Does this map to the Voluntary AI Safety Standard?
Yes. The governance dimension is built around the ten guardrails published in the Australian Government's Voluntary AI Safety Standard (September 2024) — including accountability, risk management, transparency, human oversight, contestability and stakeholder engagement. The output flags which guardrails you have evidence for and which you do not.
What's a typical score?
Most Australian midmarket organisations score 35–55 percent on first attempt. The biggest gaps are usually data hygiene (SharePoint oversharing, sensitivity labels not deployed, retention not configured) and governance (no AI policy, no AI register, no human-in-the-loop pattern). Scoring 80 percent or above usually means you have either already shipped Copilot at scale or you are unusually mature on identity and information protection.
Will the result tell me whether to deploy Copilot now or wait?
It will give you a directional recommendation. A score under 40 percent generally means you should fix the foundation before deploying — particularly the SharePoint oversharing risk, which is the single most common reason Copilot rollouts get pulled back. A score above 60 percent means you are ready to pilot with controls. The output is a 90-day plan, not a buy/don't-buy verdict.
Is this only for Microsoft 365 Copilot?
No. The framework applies to any enterprise AI rollout — ChatGPT Enterprise, Claude Enterprise, custom Azure OpenAI, Copilot Studio agents. The Microsoft 365 stack is the most common context for AU midmarket so the recommendations lean that way, but the readiness factors are vendor-agnostic.