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One AI Rollout Is Change. Ten Overlapping Updates Are an Exposure Pattern.
A rollout-by-rollout view misses what workers actually carry. Map concurrent implementations, supplier-pushed updates, transition work, retraining, role ambiguity and recovery capacity by work group. The point is not a new risk score. It is a human decision about collisions before the calendar becomes the control.

Your AI Register Is Not Licence Evidence Until It Maps to the SRCC Criteria
An approved AI use case records an intention. Licence evidence must show which existing obligation is engaged, what control operated, what exception occurred, who owned it and what independent assurance found. A criterion-to-evidence crosswalk makes that chain inspectable.
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Your AI Fallback Is Not a Recovery Plan.
Your recovery playbook fails if the tool meant to execute it disappears with the crisis. Test every AI-assisted action after removing the model, data pipeline, credentials and provider support. A fallback is credible only when people can still start, run and evidence the action.
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AI Saved the Time. Your Calendar Will Take It Back
A faster task does not create a team dividend by itself. Verify the saving, record its full cost, then give the recovered capacity an authorised destination and a protected calendar slot before routine demand quietly consumes it.
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A Green Home-Office Score Does Not Clear the Risk.
A completed checklist is one account of one home-working moment. Use AI to route credible flags, missing evidence and change signals to people who can act. Never let a model clear the arrangement, diagnose a worker or turn a green result into silence.
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Section 39 Requests Need a Branching Evidence Map, Not One Checklist
An aid can be medical treatment, rehabilitation support or something outside both routes. AI can expose the branches and assemble the evidence, but a human must select the statutory path, decide entitlement and preserve the reasons for that choice.
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Your AI Vendor Count Is Hiding One Foundation Model.
Three contracted AI vendors can still fail as one service when they share a foundation model, cloud control plane or identity layer. Map every service to its common technical roots, then test whether your nominated substitute survives the same failure.
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AI News
The latest model releases, policy developments, and industry shifts, curated for professionals.
WC & AI
AI applications in workers compensation under the SRC Act and Comcare scheme.
GRC
AI governance and regulatory developments for compliance and risk professionals.
Learning Hub
Practical guides, tutorials, and deep-dive courses on the Acts and standards that govern your work.
AI comparison table
The leading AI tools, scored honestly.
Four highlights below; the full table scores all five tools, including Microsoft Copilot, across six criteria with role-specific lenses. Updated when something actually changes, not every time someone ships a demo.
Anthropic
OpenAI
Perplexity AI
AI Readiness Assessment
Find out where you actually stand, and exactly what to do next.
Two ways in. Take the quick check for an at-a-glance read on your role's AI maturity, or unlock the full assessment for a deeper diagnostic, a 90-day plan, and a Personalised Prompt Pack.
Quick check (15 questions)
A 5 minute pulse on your role's AI readiness. Tier badge, one to two prompts, downloadable PDF. No email needed.
Start the quick check →Free, deeper diveFull assessment (~25 questions)
A complete diagnostic across four dimensions. Radar chart, 90 day action plan, three to five prompt Personalised Prompt Pack with full setup, risk and rubric notes.
Start the full assessment →Our method
Five steps between an AI draft and a decision.
TheAICommand works to the Verified Draft Method: de-identify the inputs, ground the model in your own source material, keep a person at the decision point, verify against the primary source, and log what happened.

Workers Compensation & AI
Where AI meets the SRC Act, written peer-to-peer.
Practical guides, governance explainers, and ART case-law briefings. Written peer-to-peer for case managers, claims officers, and scheme advisors. Educational only, never legal advice.
Leveraging AI to assist dissecting the SRC Act Review.
A practitioner workflow for employers to dissect the December 2025 SRC Act Review with AI tooling, end to end.
The De-Identification Toolkit for Case Managers Working With AI.
A practical de-identification framework for claim narratives before any retrieval call leaves your perimeter.
Take the WC Self-Assessment
Map your SRC Act practice capability, with AI leverage woven through. An educational self-reflection tool with a personalised PDF report: radar chart, 90-day plan, prompt pack, and risk heatmap.








