Automation 360 v.41 Release Notes - Review the top features in this release and view other new features and exciting enhancements for Automation 360 v.41 release.

We have released the updated Cloud-Sandbox Build 51018 (previously Build 50599). For information about the updates, see Release updates.

Highlights of this release

Here are the top features in the v.41 release:

User-defined operational insights and dashboard

Users can create, analyze, and share business-ready insights in Automation 360 through customizable dashboards—moving beyond visibility to deliver actionable, business-aligned outcomes with customized analytics.

• Analyze historical and in-progress execution data across agents and processes
• Build tailored dashboards and metrics aligned to specific business needs
• Leverage custom analytics to optimize and scale automations across the enterprise
• Personalize views by role and share insights

See ACC home page for administrators.

Expanded AI Governance and evaluation with MCP traceability

Agent Logs provide complete visibility into every AI-triggered action—capturing agent activities, what was executed, and the outcome. Combined with MCP traceability, this extends accountability across goal-based agents and MCP-connected third-party agents, creating clear, audit-ready records for compliance and real-time traceability. See, AI Agent Governance Logs.

• Centralized governance and unified visibility: Access a single view of agent activity across native goal-based AI agents and MCP-connected third-party AI agents
• End-to-end MCP traceability: Capture every AI agent-triggered action with full visibility into tool calls and respective inputs, outputs, and outcomes
• Real-time insights and audit-ready records: Access structured logs and execution data for monitoring, compliance, and diagnostics

Document evaluation for improved accuracy

A new built-in, quantitative evaluation framework to continuously validate and improve document processing accuracy by reducing risk while accelerating optimization.

• Ground truth setup: Define expected outputs for quantitative validation of accuracy
• Multi-level accuracy: Measure performance at field, table, and document levels
• Batch analysis: Evaluate accuracy across document sets
• Downloadable reports: Easy offline review and analysis
• Optimal Configuration Selection at Scale: Use test mode to evaluate the impact of extraction changes—including generative AI prompt updates—across entire batches, enabling users to identify and confidently deploy the most effective configuration

Note: This feature is available only on Cloud deployments.

See Document evaluation for learning instances.

Enhanced automation development with Mozart Orchestrator and integrations

Enhances Mozart Orchestrator with an intuitive design experience and 12 native out-of-the-box connectors—standardizing integrations, reducing complexity, improving reliability, and accelerating enterprise use-cases.

• Embedded annotations capture business context directly in workflows
• Default form setup simplifies configuration for form tasks
• Auto-connect paths maintain valid logic in split and merge
• Enhanced quick add enables faster action discovery and insertion

See About annotations.

New native connectors

Content management

• Box: Content-based automation of files and folders in the Box app. See Box package
• PowerPoint: Automate presentation workflows—from generating business reports and refreshing content to creating decks, inserting dynamic visuals, and exporting to PDF. See PowerPoint package

Collaboration and work management

• Slack: Build messaging-driven workflows to streamline notifications, route incidents, capture approvals, and enable seamless conversation tracking. See Slack package
• Gmail: Automate email-driven workflows and communication tasks in Gmail mailbox. See Gmail package.
• Asana and Jira: Sync work, automate transitions, and trigger issue-based actions. See Asana package and Jira package.

Identity and access management

Okta: Automate identity lifecycle and access management workflows. See Okta package.

Data and event intelligence

• Databricks: Integrate data processing and operational tasks into enterprise workflows. See Databricks package.
• Kafka: Stream real-time events into automation workflows. See Kafka package.
• Snowflake: Query analytics to power intelligent decisions and actions. See Snowflake package.

DevOps and engineering

• Azure DevOps: Automate Continuous Integration (CI)/Continuous Delivery (CD) pipeline operations and execution. See Azure DevOps package.
• GitHub: Automate core GitHub activities for collaboration and development. See GitHub package.

Autonomous Service Desk (Aisera): Boost RAG accuracy with smart KB updates and location-tuned queries

Automatically improve knowledge quality with AI-driven updates and context-aware intelligence—keeping content current while delivering more accurate, compliant, and reliable self-service outcomes.

• Smart knowledge updates: Automatically enrich and update KBs with insights from real-world resolutions.
• Section-level AI suggestions: Highlight only what needs updating, with precise, citation-backed recommendations.
• Unified review workspace: Compare existing content, source knowledge, and AI suggestions in one view.
• Preserve knowledge review workflows: Maintain approvals with Helpful/Not Helpful flags while AI handles discovery.
• Country-aware contextual responses: Deliver more relevant answers using user location and query context.

See Knowledge Generation and Similarity Check Logic and Similar Documents Page.

Release updates

What's new and changed in each product

Navigate to the following pages for details on all the updates (what's new, changed, fixed, and limitations) in each product: