General Availability (GA): March 2026
Headline Features
Frontline App UI Enhancements
Overview: The Frontline Worker App user interface has been redesigned with improved visual clarity and enhanced performance. The updated design features a cleaner look and feel and a snappier interface. Visual clutter has been reduced, and common workflows have been optimised for faster task completion.
Benefit: Frontline workers experience a more polished, professional interface that reduces eye strain and cognitive load during daily use. The cleaner design makes it easier to quickly locate schedules, time entries, and availability information without unnecessary navigation. Improved performance means faster load times and more responsive interactions, enabling workers to complete tasks efficiently and get back to their core responsibilities.
Frontline App Technical Enhancements
Overview: The Frontline Worker App has been re-architected with a modular, component-based structure. This new architecture allows administrators to apply custom branding, configure features, and extend functionality through a well-defined customisation layer that remains isolated from the core application code. Customisations are preserved and automatically migrated during version upgrades, eliminating the need to manually reapply changes after each release.
Benefit: Organisations gain the flexibility to tailor the Frontline App to their specific branding guidelines and business requirements without sacrificing access to new features and improvements. Customisations no longer conflict with product updates, drastically reducing upgrade complexity and maintenance overhead. Administrators can confidently apply organisational branding, configure workflows, and add custom functionality knowing these changes will persist seamlessly across future releases.
Roster Calendar Virtualisation (PCF)
Overview: Roster Calendar Virtualisation is a technical enhancement to the Roster Calendar PCF control that significantly improves performance when viewing large rosters. The control now uses virtualisation techniques to render only the visible portion of the calendar at any given time, rather than loading the entire dataset. This approach dynamically loads data as users navigate through different time periods or scroll through calendar views.
Benefit: Users experience dramatically faster load times and smoother interactions when working with large rosters containing a high number of allocations. By rendering only what's currently visible on screen, the system eliminates performance bottlenecks that previously occurred with extensive roster calendars. This results in a more responsive user experience, enabling managers to navigate complex rosters efficiently without delays or system slowdowns.
Roster Pattern Enhancement
Overview: The Roster Pattern Selector is a streamlined PCF control that enables users to select, create, and duplicate roster patterns directly within position creation workflows. The control provides real-time search capabilities, inline pattern creation, and one-click duplication with pre-populated data, all without leaving the position form.
Benefit: Users can now complete position setup faster and more efficiently by managing roster patterns within a single interface, eliminating context switching between multiple forms. The intuitive design promotes the reuse of standardised patterns, improving data quality and consistency across the organisation. Native integration with Dynamics 365 ensures seamless adoption with full accessibility and internationalisation support.
Resource Explorer Enhancement
Overview: Resource Explorer Card Templates provide a fully customisable templating system for displaying resource cards within the Resource Explorer component. Using a templating language, administrators can create dynamic card layouts that display resource information with complete control over visual presentation, data fields (existing and custom), and conditional logic.
Benefit: Organisations gain complete flexibility to tailor resource card displays to their specific workflows, and data requirements without code customisation. Configurators can create card layouts that highlight the most relevant information for their users—whether that's skill ratings, territory assignments, availability status, or certification levels—while maintaining visual consistency across the application.
Copilot - Generating a Roster and Roster Pattern
Overview: Copilot for Roster Generation enables users to create Roster Data, and Roster Pattern Data using natural language prompts and conversational AI. Instead of manually configuring complex roster structures through multiple forms and fields, users can describe their rostering requirements in plain language, and Copilot intelligently interprets the intent to generate the appropriate roster components.
Benefit: Organisations dramatically reduce the time and complexity involved in creating new roster structures, transforming what could be hours of manual data input into minutes of natural conversation. Users without deep understanding of the rostering system can now generate sophisticated roster patterns by simply describing their operational needs—for example, "Generate a Monday-Friday roster pattern for a Senior Nurse from 8 AM to 5 PM."
Copilot Agent Support Assistance
Overview: The Copilot Agent is an intelligent conversational assistant that provides natural language access to PowerWorker documentation, data analysis, and system insights. Users can ask questions about system functionality and receive instant answers from the knowledge base. The agent also performs advanced data quality analysis, automatically detecting roster coverage gaps, scheduling conflicts, compliance violations, and data integrity issues.
Benefit: Organisations empower their workforce to become self-sufficient in understanding and optimising rostering operations. Users receive instant, contextual guidance without searching documentation or waiting for support. Proactive data quality monitoring identifies rostering issues before they impact operations, catching coverage gaps and conflicts early. By democratising data analytics, Copilot enables managers at all technical levels to extract insights and make evidence-based decisions, reducing dependency on specialists and transforming roster management into a strategic, data-driven capability.
Retry Capability for Failed Compliance Runs
Overview: A Retry button has been added to compliance runs that have failed execution due to unexpected errors (technical or otherwise). The button allows users to re-execute the compliance check for failed runs.
Benefit: Users can quickly recover from transient technical failures such as temporary connectivity issues, timeouts, or system resource constraints without losing their compliance run configuration. This eliminates the frustration and wasted effort of manually recreating failed compliance checks, improves operational efficiency, and ensures compliance monitoring remains continuous even when unexpected technical issues occur.
Delete Behaviour updates
Overview: Compliance Delete Behaviors have been enhanced to define and enforce what happens when users attempt to delete records that are referenced in compliance rules, constraints, or breaches. The system now includes configurable cascading delete logic that automatically handles dependent records, preventing orphaned data and maintaining referential integrity across the compliance framework.
Benefit: Organisations maintain clean, consistent data across their compliance framework without manual cleanup or the risk of broken references. The system automatically prevents orphaned breach records, dangling rule associations, and invalid constraint configurations that could compromise compliance reporting accuracy. Users can confidently delete records knowing that dependent compliance data will be handled appropriately, reducing data quality issues and eliminating workflow disruptions caused by missing or invalid references. This improves system reliability, simplifies data management, and ensures compliance monitoring remains accurate and trustworthy over time.
Parameter Entity Update
Overview: The Parameter entity has received user interface improvements that streamline the form layout by removing unnecessary fields and clarifying required inputs. Additionally, a critical bug has been fixed in the parameter validation logic that now ensures parameters are automatically revalidated whenever data changes occur. This prevents invalid parameter configurations from propagating through the system and affecting dependent workflows or processes.
Benefit: Users experience a cleaner, more intuitive interface when configuring parameters, reducing confusion by focusing only on relevant fields. The validation bug fix protects workflow integrity by catching invalid parameter changes before they can disrupt rostering operations, compliance checks, or other automated processes.
Updated Dismiss Breach Workflow
Overview: The breach dismissal workflow has been enhanced to require users to provide a dismiss reason before a breach can be dismissed, ensuring proper documentation of all compliance decisions. Additionally, a new Restore Breach button has been added, allowing users to reverse dismissals and reinstate breaches that were dismissed accidentally or require further review.
Benefit: Organisations maintain comprehensive audit trails for all compliance breach decisions, ensuring accountability and regulatory compliance by documenting why breaches were dismissed. The mandatory dismiss reason prevents casual or undocumented dismissals that could raise questions during audits or compliance reviews. The restore capability provides a safety net for accidental dismissals, eliminating the need to manually recreate breach records and preserving the complete compliance history.
Sample Data Updates
Overview: A Sample Data setup capability has been introduced to generate pre-configured sample records for compliance entities, including rules, constraints, parameters etc. This functionality creates a representative dataset that can be used to test out compliance features and relationships without requiring users to manually configure complex compliance structures from scratch.
Benefit: Users can explore and understand the compliance framework through hands-on interaction with realistic examples before committing to their own organizational data. New administrators gain familiarity with compliance configuration workflows, relationships between entities, and best practices by examining working examples rather than starting from blank forms.