Understand where AI can reduce drag, improve response, and support growth without creating uncontrolled tooling sprawl.
AI Systems Audit
Know what to build before AI enters the workflow.
An AI systems audit is a focused one-week engagement for businesses that want practical AI capability without guessing. URDNAI maps workflows, current AI usage, data access, risk exposure, governance gaps, automation opportunities, ISO/IEC 42001-aligned governance gaps, Australian Government AI compliance needs, and the staged implementation path before agents, software, or local AI systems are built.
Enquire about an auditFit
Built for leaders who need clarity before commitment.
See the governance, compliance, data, and operating risks before approving deeper implementation.
Identify repeatable knowledge work, document processes, client communication, and decision points that AI can assist.
Map CRM workflows, lead capture, agentic outreach, sales and marketing processes, and the points where errors or delays occur.
Process
The audit turns scattered AI possibility into a usable operating map.
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01
Workflow map
Identify high-friction work, repeatable decisions, slow handoffs, knowledge bottlenecks, and systems involved.
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02
Risk, governance, and compliance review
Review data sensitivity, current AI use, permissions, approval paths, ISO/IEC 42001 alignment, Australian Government AI compliance exposure, insurance requirements, and audit trail requirements.
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03
System design direction
Define candidate agents, integrations, human handoffs, evaluation needs, private AI options, and what should remain human-led.
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04
Implementation sequence
Separate quick wins from deeper software work and identify the first AI system worth building.
Outputs
A practical next-step package, not a generic strategy document.
Ranked workflows, documents, decisions, customer moments, and internal processes where AI could create leverage.
Data boundaries, access rules, human review points, ISO/IEC 42001-aligned controls, Australian Government responsible AI mapping, compliance concerns, insurance considerations, and staff usage controls.
Recommended agents, knowledge sources, integration points, evaluation approach, and local or private AI considerations.
Report, workshop, roadmap, Loom walkthrough, live strategy call, or a tailored combination based on the engagement.
Questions
AI audit questions, answered plainly.
What is an AI systems audit?
A focused review of workflows, current AI usage, data access, risk, governance, automation opportunities, and the staged path for useful implementation.
Is this different from AI readiness?
Yes. Readiness is part of it, but the audit also looks at real workflows, system architecture, governance, agent roles, integration points, and what should be built first.
How long does it take?
The first audit is designed as a one-week engagement, priced by proposal.
What happens after the audit?
The business can use the map internally, run a workshop, request implementation support, or move into a scoped build for agents, custom software, governance, training, or private AI systems.
Can the audit support ISO/IEC 42001-aligned AI governance?
Yes. The audit can identify the AI management system controls, risk treatment, accountability, evidence records, monitoring, and operating policies needed for ISO/IEC 42001-aligned AI work.
Can the audit map Australian AI compliance needs?
Yes. The audit can map use-case accountability, impact assessment needs, staff training, transparency, data boundaries, review controls, and evidence expectations for Australian Government responsible AI compliance.
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