Automate workflow orchestration now with Automation anywhere

Enterprises running fragmented RPA pilots and standalone AI agents are discovering the gap between isolated automations and reliable end-to-end results. Automation Anywhere is positioning its Agentic Process Automation platform, anchored by Mozart Orchestrator, as the missing coordination layer. Recent 2026 announcements show the company pushing workflow orchestration from concept to production reality for large-scale operations.

From bots to coordinated agents

Traditional RPA handled repetitive tasks within single systems. Once processes crossed departments or required judgment calls, those bots stalled. Automation Anywhere now layers AI agents on top of RPA, APIs, and human steps. The shift lets teams move from simple scripts to goal-driven agents that adapt when conditions change.

Mozart Orchestrator sits at the center of this model. It tracks decisions, dependencies, and exceptions in real time. When an agent encounters missing data or a system outage, the orchestrator reroutes work or triggers a human review without manual intervention. The result is fewer dropped handoffs and clearer audit trails.

Early adopters report the biggest gains in IT service management and finance. Instead of separate tickets for password resets, invoice exceptions, and vendor onboarding, one orchestrated flow manages the entire sequence. The platform records every routing choice, making compliance reviews straightforward.

Platform updates announced in May 2026

At the May 2026 Imagine event, Automation Anywhere unveiled features that extend Mozart Orchestrator across the enterprise. Universal orchestration now sequences work across people, systems, agents, and legacy applications in a single view. Governance rules travel with the workflow, reducing the risk of shadow automations.

AAI Code lets teams describe a process in plain language or import existing SOPs and diagrams. The tool generates enterprise-grade applications, complete with UI, agents, and security controls, in roughly a week. Product teams say this removes weeks of custom development that previously delayed pilot projects.

CEO Mihir Shukla framed the release around the Autonomous Enterprise vision. Individual AI agents deliver value only when a larger system coordinates their actions. The May updates aim to close that coordination gap at scale.

One billion service requests fulfilled

Automation Anywhere announced in May 2026 that its Autonomous Service Desk has handled more than one billion IT service requests. The milestone reflects production deployments rather than proof-of-concept runs. Customers span healthcare, manufacturing, and financial services.

Behind the number sits multi-agent coordination introduced in version 38. Agents handle initial triage, gather context from multiple systems, and escalate only when policy requires human judgment. Mozart Orchestrator logs the reasoning path for each escalation, satisfying auditors without extra reporting layers.

Enterprises tracking ROI note faster resolution times and lower ticket volumes. The same orchestration engine also supports finance workflows such as invoice matching and vendor onboarding, showing the platform’s reach beyond IT.

Market signals and analyst views

AI bookings grew 45 percent year-over-year in a recent quarter, with AI representing 61 percent of Q4 software bookings. Double-digit ARR growth and an expanding base of customers above one million dollars in annual recurring revenue point to sustained demand. The company was named a Visionary in Gartner’s first BOAT Magic Quadrant.

Analysts highlight the move from experimentation to governed production use. Buyers want orchestration that enforces policy across departments, not another isolated bot. Automation Anywhere’s positioning aligns with that requirement, though competitors continue to release similar capabilities.

Customer reviews on Gartner Peer Insights mention improved visibility into agent decisions and reduced manual oversight. Some note that initial setup still requires process-mapping expertise, a common challenge across the category.

Partnerships and acquisitions

Late 2025 brought the acquisition of Aisera, adding pre-built AI agent templates for service management. Integration with Cisco, NVIDIA, Okta, and OpenAI under the EnterpriseClaw collaboration expands the range of systems the orchestrator can touch. These connections matter when workflows span cloud, on-premise, and partner platforms.

Pre-built solutions for IT and finance departments arrived alongside the acquisition. Rather than starting from blank canvases, teams can deploy tested patterns and customize rules. This approach shortens time-to-value for organizations wary of long implementation cycles.

Security and identity integrations through Okta allow role-based access to flow through the same orchestration layer. That reduces the need for separate access-control projects that often stall automation rollouts.

Governance built into the flow

Every decision and action within Mozart Orchestrator is tracked, explainable, and auditable. Logs capture the data sources, agent reasoning, and any human overrides. Compliance teams receive reports without requesting separate exports from multiple systems.

The platform supports exception handling that escalates to humans only when policy thresholds are crossed. This keeps routine work automated while preserving oversight for high-risk steps. Finance and healthcare customers cite the audit trail as a deciding factor in platform selection.

Universal orchestration introduced in 2026 extends these controls across departmental boundaries. A single policy engine governs routing, data handling, and escalation, limiting the drift that occurs when teams build their own automations.

Comparing orchestration approaches

Some vendors treat orchestration as a scheduling layer on top of existing bots. Automation Anywhere embeds orchestration inside the agent runtime, allowing agents to replan mid-process. The difference appears when external systems change or data arrives late.

Self-healing capabilities detect broken connections and attempt recovery before alerting staff. Traditional RPA platforms require manual restarts or custom scripts. The distinction matters for 24/7 operations where staffing for constant monitoring is impractical.

Document processing remains a strength. Intelligent document capabilities feed structured data into orchestrated flows, reducing the need for separate extraction tools. Customers running high-volume invoice or claims processes report fewer hand-coded rules.

Implementation considerations

Teams evaluating the platform should map current processes at a granular level before deployment. AAI Code accelerates creation once the process is understood, yet unclear requirements still produce brittle flows. Existing RPA users can migrate bots incrementally rather than replacing everything at once.

Change management remains relevant. Staff accustomed to manual handoffs need visibility into how agents make decisions. Training sessions focused on exception review rather than task execution have helped adoption in early deployments.

Budget models now include per-process pricing alongside traditional licensing. Enterprises with clear volume metrics can forecast spend more accurately than with seat-based models that ignore automation scale.

Next steps for enterprise teams

Organizations ready to move beyond pilot scope can start with one high-volume workflow that crosses at least three systems. Measuring cycle time and exception rates before and after provides a baseline for expansion. Automation Anywhere offers reference architectures for IT service management and finance that reduce initial design effort.

Security reviews should examine how the orchestrator stores context data and enforces role-based access. Integration with existing identity providers through Okta simplifies this step for most enterprises.

Scaling requires ongoing governance rather than one-time configuration. Teams that assign ownership for each orchestrated process see fewer policy violations as volume grows. The 2026 platform updates make that ownership model explicit within the tooling.

Coordinated automation at scale

Automation Anywhere has tied its recent product and partnership moves to a single claim: workflow orchestration now requires more than scheduling bots. Mozart Orchestrator and the May 2026 enhancements aim to deliver that coordination while preserving auditability. For enterprises moving AI agents into production, the question is whether the platform’s governance layer matches their risk tolerance and process complexity.