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Key takeaways from ServiceNow Australia Release
The ServiceNow Australia Release marks not only a new beginning for the naming convention but also for AI-driven growth. With this new release, AI is positioned to act and coordinate across systems under proper controls.
9 minutes
Table of contents
The Australia release builds on what came before in Zurich. Let’s break down some features and what they mean for your teams, processes, and business outcomes.
App Engine
With ServiceNow Australia Release, Build Agent goes fully platform-native. This means it can create and edit core ServiceNow artifacts like flows, workspaces, and UI configurations, not just app scaffolding.
Most people don’t wake up thinking “we need a new custom app”, they want to improve how their work moves. Now, teams can describe a use case in plain language and have Build Agent propose an implementation plan. Then, after your review and approval, it generates foundational artifacts ready for refinement. This keeps people in control while dramatically reducing the time to a first working version.
Most importantly, Build Agent is no longer limited to net-new custom development. It can implement standard workflows out of the box, such as approvals, intake, request fulfillment, case handling, etc.
How it works
- Build Agent creates and edits platform-native artifacts, such as flows, workspaces, and UI configurations, forms, lists, UI actions, catalogs, and security-related items.
- Build Agent is embedded into the ServiceNow build experience, such as Studio, and produces ServiceNow-native outputs with traceability like update sets and audit trails, which support governance.
- You can think of Build Agent as a human-led copilot model. Technical consultants provide context, review plans, and refine generated artifacts using low-code tools or follow-up prompts.
Why it matters
- Faster time-to-value with AI-assisted delivery of deployable workflows.
- Broader applicability across both standard and custom use cases. This expands value beyond greenfield app development.
- Stronger business-IT collaboration through iterative and natural-language-driven development that lets both sides stay aligned throughout the build.
- Governance without compromise.
What we offer
If you want to move from curiosity to outcomes quickly, we also offer a Build Agent Hackathon: One-Day Experience. The format is designed to bring business and IT together, build real use cases in a short sprint, and end the day with a working prototype plus a roadmap.
You typically get:
- Hands-on experience with Build Agent
- A working prototype based on a real business use case
- Cross-team alignment
- A deployable MVP with clear next steps.
We’re already validating early Australia POCs and can help you explore it quickly through a hands-on Build Agent Hackathon experience. Interested in seeing what Build Agent could unlock in your organization? Contact us, we’d love to compare notes and explore a pilot together.
Risk and Security
Australia Release strengthens the foundations for security visibility, risk management, and AI governance. The biggest addition is Armis and Veza.
Most organizations still struggle to connect two critical questions: what is connected across their environment, and who has access to what? Armis answers the first. It maps everything across IT, OT, and IoT environments, surfacing cyber exposure across landscapes that are notoriously hard to monitor consistently. Veza answers the second. It shows who has access to what across systems, data, service accounts, and other identities.
Combined with ServiceNow’s existing workflow and automation capabilities, you get sharper context for decisions, faster remediation, and a more connected view of risk.
AI Control Tower now extends beyond the Now Platform to discover and govern external AI agents. By connecting visibility, control, and lifecycle governance in one place, it lets organizations scale AI adoption without sacrificing oversight.
How it works
Armis provides continuous asset intelligence across IT, OT, IoT, and other complex environments, giving organizations a consistent and reliable view of cyber exposure.
Veza maps access across systems, data, and service accounts, making access-related risk visible so teams can act on it.
AI Control Tower connects visibility, control, and lifecycle governance in one place and now extends that governance to external AI agents beyond the ServiceNow platform.
3 new AI Agents bring intelligence directly into risk & security workflows.
- The Control Objective & Policy Change Management Agent proposes policy updates and creates new control objectives in response to regulatory or framework changes.
- The Control Rationalization Agent identifies duplicate controls and helps consolidate them, reducing complexity across your control set.
- The Security Incident, Vulnerability, and Threat Intelligence Agent supports triage and response inside operational workflows, helping teams move faster from detection to action.
Why it matters
- Accelerates incident and vulnerability response while reducing risk exposure by embedding AI-driven triage and resolution into operational workflows.
- Improves risk visibility and decision-making by providing a unified view across assets and identities in one platform.
- Reduces compliance effort and cost by eliminating duplicate controls and simplifying the overall control landscape.
- Strengthens AI risk management by extending governance to external agents beyond the ServiceNow platform.
Agentic Platform
The Australia release is built around three connected planes:
1. The data layer connects, contextualizes, and governs data where it lives.
2. Action Fabric opens flows, approvals, and audits to custom AI stacks with strict governance.
3. Security acts as a core plane covering every identity, whether human, machine, or AI agent.
Think of it this way: instead of AI sitting somewhere on the side, it now operates inside a structure that was purpose-built to keep it governed, connected, and measurable.
How it works
The context engine and zero-copy connectors pull data from across your organization into the platform so AI and people can act on it in real time without copying it somewhere else first. This keeps data clean, governed, and in one place.
Action Fabric is what makes ServiceNow open to the outside world. Workflows aren’t restricted to the ones built inside ServiceNow anymore. External AI tools and systems, like Microsoft Copilot or a custom AI your team built, can trigger and execute work inside ServiceNow. Governance, approvals, and audit trails still apply.
Security is built in from the start, covering every asset that’s connected and every identity that has access, whether that’s a person, a machine, or an AI agent.
Why it matters
- Scales AI adoption across the enterprise without slowing innovation by ensuring governance remains efficient and manageable
- Enables safe use of external AI tools, reducing risk while maintaining control and compliance across the ecosystem
- Improves decision-making and risk management through a unified contextual view of data, actions, and security across the organization
AI Capability Tiers
ServiceNow Australia Release introduces a new AI capability structure that meets organizations where they are on their AI journey.
There are now three tiers: Foundation, Advanced, and Prime. Each tier is designed as a clear next step, and AI is included across all tiers. What changes is how capable and autonomous it becomes as you move up.
This structure matters because one of the biggest blockers to AI is knowing where to start and how to grow without losing control. The tiered model addresses that directly.
How it works
Foundation gives teams out-of-the-box GenAI skills and AI agents for day-to-day productivity: summarization, categorization, and task-based assistance. AI helps people work faster and smarter without heavy configuration or specialist setup.
Advanced is where AI starts to understand context, apply domain knowledge, and automate entire workflows end to end. This tier drives efficiency across ITSM, CSM, HR, IRM, and other modules on the platform.
Prime is where the transformation happens. You can build custom AI specialists and agents tailored to your business. These agents can operate independently, make decisions, and drive enterprise-wide impact. This is the level where you build something competitors can’t easily copy.
Why it matters
- Organizations can adopt AI at their pace without losing a clear path to scale.
- Each tier builds on the last, so moving from Foundation to Prime is a natural evolution and doesn’t require reinventing how you work.
- At the Prime tier, AI stops being a productivity tool and becomes a strategic asset, one that’s built around your specific workflows, data, and business outcomes.
With Gartner predicting over 60% of enterprises will adopt AI agent platforms by 2029, having a structured path to get there is a competitive necessity.
MoveWorks and Otto
Most employees deal with the same frustration every day: too many systems, too much switching, and still not getting answers fast enough. MoveWorks is built to fix that. It acts as a single front door for enterprise work, one place to go regardless of which systems or workflows are involved. You ask, it figures out what needs to happen, and it makes it happen.
Otto is the interface you interact with. It’s available on chat, voice, mobile, and web. Think of MoveWorks as the brain and Otto as the face. Together, they turn a fragmented employee experience into a simple conversational one.
How it works
- MoveWorks starts by figuring out what you need and the intent behind your words. Most virtual agents respond to keywords, whereas MoveWorks understands context.
- Once it knows what you need, it builds a plan and executes it automatically across whichever systems are involved, whether that’s ServiceNow, Salesforce, Workday, or others. You don’t have to visit each one yourself.
- Otto is the face of all of this. You ask, Otto responds, and keeps going until the job is done.
Why it matters
- Fewer handoffs and less back-and-forth because MoveWorks executes actions from start to finish across every system involved.
- Employees get one experience for work that spans multiple platforms. No more switching between tools to complete a single request.
- Less manual configuration is needed compared to traditional virtual agent setups. Built-in intelligence and external connections do the heavy lifting from day one.
- MoveWorks and Otto change what it feels like to get work done. Instead of clicking through five tools, you ask for what you need.
Only 15% of AI initiatives ever reach production. At Plat4mation, we’ve completed over 50 AI implementations on ServiceNow, and we know what it takes to be in that 15%. We work with you and your leadership to deliver real AI outcomes in under 90 days, with the governance, compliance, and controls built in from day one.
If the Australia release has you thinking about what’s next for your organization, we’d love to help you figure out where to start.