Events
Event triggers and actions provide a powerful framework for automating responses to key events within a system. This capability not only improves operational efficiency and responsiveness but also enables organizations to integrate seamlessly with other tools and platforms, enhancing overall business agility and effectiveness

Event triggers
Event triggers are predefined conditions or occurrences within the system that initiate a specific response or workflow. When a particular event happens — like an invoice being generated or a new user registering — the system recognizes this event as a trigger and prepares to execute any associated actions.
Examples of events that can be configured as triggers include:
Core Events: Such as a new user registration, or a company being created. Billing Events: Like the generation or approval of an invoice, which might require immediate action by a finance team


Actions
Actions are the automated responses that occur as a result of an event trigger. Actions are tasks or processes that the system executes automatically once the triggering event has been detected.
Actions can be diverse and are designed to automate a wide range of workflows. Examples include::
Notifications: Sending emails, SMS messages, or posting messages in collaboration tools like Microsoft Teams to alert relevant stakeholders of the event. Webhooks: Making HTTP requests to external services, allowing for integration with other systems and the extension of functionality beyond the platform’s native capabilities.
Invoice Reconciliation and Variance Analysis
The Invoice Reconciliation feature offers a comprehensive solution for businesses utilizing Azure services to match billed amounts with actual costs. By comparing Azure Invoice Data with real-time Azure Cost Data, this feature detects discrepancies and variances between billed and actual expenses. It provides detailed insights at a granular level, enabling users to identify specific resources or services responsible for the differences. Additionally, it allows users to address and reconcile these variances directly within the platform.
