Australian IT service management startup Servicely has launched multi-agent orchestration and a conversational Agent Creator that lets enterprise service teams configure autonomous software agents through plain-language instructions instead of code. The update shifts the platform from recording service requests to executing them end-to-end, according to IT Brief Australia.
From Systems of Record to Systems of Execution
The new capabilities apply AI across the full service workflow: classifying, routing, resolving, and closing requests, then generating knowledge articles from the outcome. Servicely calls this layer SoFi, its system of intelligence. Multiple agents work together autonomously across a request lifecycle, from intake through resolution, without requiring human handoffs at each stage.
“For thirty years, service management platforms have been systems of record. They take notes while people do the work,” said Dion Williams, Servicely’s founder and CEO, in an interview with IT Brief Australia. “Agentic AI changes that. The platform shifts from recording the work to actually doing it, and that is a far bigger shift than another chatbot bolted onto the side.”
The Agent Creator lets service teams describe what they need in natural language. The platform then generates the agents to deliver it. Williams framed this as removing the dependency on specialist developers or multi-year implementation programs that enterprise service tools typically require.
Positioning Against ServiceNow
Servicely is targeting mid-sized enterprises caught between expensive, complex platforms and lightweight tools that lack depth for larger operations. The timing is deliberate: ServiceNow’s $2.85 billion acquisition of agentic AI specialist Moveworks earlier this year signaled that autonomous agents are now central to the ITSM competitive landscape.
Williams, who previously led a business that brought ServiceNow to the Australian market and completed hundreds of service management implementations, argued that the acquisition dynamic works against customers. “When a global platform swallows an independent AI layer, the customer’s roadmap, integrations and pricing stop being their own,” he told IT Brief Australia.
Early Customer Results
BUCS IT, an early customer, used the platform to reduce time spent on recurring finance-related service tasks. Servicely reports that the AI layer is built into its architecture from the outset rather than added on top of an older software stack, which the company says allows faster deployment timelines measured in weeks rather than the months or years typical of enterprise ITSM rollouts.
The Enterprise Agent Adoption Signal
Servicely’s launch adds to a pattern visible across enterprise software in June 2026. New Relic shipped Autopilot for autonomous incident triage. Anthropic launched Claude Tag as a persistent Slack agent. Microsoft introduced MCP servers in Fabric for agent access to Power BI. The common thread: enterprise vendors are moving from AI-assisted workflows (where humans direct every step) to AI-executed workflows (where agents handle routine operations autonomously and escalate exceptions).
For mid-market IT teams that lack the budget for ServiceNow’s pricing or the engineering resources for custom agent development, platforms like Servicely represent the first plausible path to agent-first service operations without a seven-figure implementation contract.