Building automations, AI systems, and business software around repeatable operating work.
Founder
Luke Soanes, founder of URDNAI.
Luke Soanes founded URDNAI to help businesses turn AI from scattered experiments into governed, operational systems. His work sits across advanced AI development and deployment, autonomous agent infrastructure, AI implementation, custom intelligent software, staff training, local and private AI systems, and governance for real business environments. He has 10 years of experience building automations and AI systems, AI security accreditation through the Global AI Certification Council, licensed and certified AI audit and governance capability for ISO/IEC 42001-aligned AI systems work, and private client work across agentic infrastructure, real estate AI deployments, AI software projects, training, and consulting.
Book a callCredibility
A systems operator, not a tool reseller.
AI security accreditation through the Global AI Certification Council, with licensed and certified AI audit and governance capability.
AI management system audit and implementation support aligned to ISO/IEC 42001 controls and evidence expectations.
Proven deployment of agentic infrastructure, with governance and review paths treated as part of the build.
Work
The work is practical, private, and built around operating pressure.
Licensed and certified AI audit and governance work for businesses that need ISO/IEC 42001-aligned controls, Australian Government AI compliance mapping, and evidence-ready implementation.
Advanced AI development and deployment for workflows that need intelligence inside the system, not beside it.
Autonomous agent development with roles, permissions, memory, evaluation, logs, escalation, and human handoff points.
Private client work across real estate AI deployments, including CRM-connected workflows, agentic outreach, dashboards, and operational support.
Training and consulting, including work with high-profile AI developers and business teams adopting AI in live workflows.
Point of View
The method starts with the work, then designs the intelligence layer.
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01
Map before automating
Useful AI starts with workflows, people, decisions, knowledge, risk, and system boundaries.
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02
Govern before scaling
Agents need scoped access, review paths, approvals, logs, escalation rules, and a clear line between assistance and decisioning.
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03
Build where the business already works
AI should connect to CRMs, documents, inboxes, dashboards, private knowledge, reporting loops, and the operating rhythm of the team.
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04
Keep capability explainable
Recommendations need evidence, confidence states, source freshness, and human review when decisions carry risk.
Systems in Practice
Client names are withheld, but the system patterns are clear.
AI agent deployment for data capture, tailored outreach, CRM integration, sales and marketing process support, and reduced manual handling.
Specialised business software that integrates intelligence into internal tools, reporting systems, documents, and operational workflows.
Staff enablement, workshops, workflow playbooks, prompt systems, and safe-use guidance for teams adopting AI practically.
AI security, ISO/IEC 42001-aligned audit, Australian compliance mapping, data boundaries, evidence quality, permissions, and controls designed into the operating layer.
Related Work
Where Luke's operating approach shows up on the site.
Questions
Founder questions, answered plainly.
Who founded URDNAI?
URDNAI was founded by Luke Soanes.
What is Luke Soanes' AI systems experience?
Luke has 10 years of experience building automations and AI systems, advanced AI development and deployment experience, and proven deployment of agentic infrastructure.
What AI security accreditation does Luke have?
Luke has AI security accreditation through the Global AI Certification Council, along with licensed and certified AI audit and governance capability for ISO/IEC 42001-aligned AI systems work.
What industries has Luke worked in?
Client names are withheld, but public positioning includes private real estate AI deployments, AI software projects, training, consulting, and agentic infrastructure work.
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