Bizagi

Provides a visual process designer that implements the BPMN 2.0 standard specification, enabling users to model complex workflows using standardized notation (tasks, gateways, events, swimlanes). The platform renders these models as interactive diagrams with drag-and-drop composition, real-time validation against BPMN schema, and automatic layout algorithms. Models are stored as XML-compliant BPMN documents that can be exported or imported across compatible tools.

Converts BPMN 2.0 process models into executable runtime workflows by interpreting the XML specification and mapping process elements to execution logic. The engine manages task queues, decision branching, parallel execution paths, and error handling according to BPMN semantics. Process instances are tracked with state management, audit logs, and variable scoping throughout their lifecycle, with support for human tasks, automated service tasks, and subprocess invocation.

Enables process task execution on mobile devices (iOS/Android) through responsive web apps or native mobile apps with offline capability. Mobile users can view assigned tasks, complete forms, and submit data even without internet connectivity. Changes are queued locally and synchronized to the server when connectivity is restored. Supports mobile-specific features like camera integration for document capture, location tracking, and push notifications for task assignments.

Automatically captures comprehensive audit trails of all process activities (task execution, data modifications, access events, approvals) with immutable logging and tamper detection. Generates compliance reports for regulatory frameworks (SOX, HIPAA, GDPR, ISO 27001) demonstrating process controls and data handling. Includes data retention policies, deletion workflows, and evidence preservation for legal holds. Supports role-based audit log access to prevent unauthorized viewing of sensitive activities.

Provides a curated marketplace of pre-built process templates and applications for common business scenarios (expense approval, leave request, invoice processing, onboarding) that organizations can import and customize. Templates include BPMN models, forms, integrations, and documentation. Includes version control for process definitions with branching, merging, and rollback capabilities. Teams can publish custom templates to the marketplace for reuse across the organization or sharing with partners.

Provides AI-powered suggestions for process design improvements based on natural language descriptions of business processes. Users describe their process in plain English, and the system suggests BPMN elements, task sequences, and decision points. Includes pattern recognition to identify common process structures (approval workflows, parallel processing, error handling) and auto-generates corresponding BPMN models. Suggestions are presented as draft models that users can refine visually.

Provides 500+ pre-configured connectors to enterprise systems (SAP, Salesforce, Oracle, Workday, etc.) and SaaS platforms (Slack, Teams, Google Workspace) that abstract authentication, API versioning, and payload transformation. Connectors expose standardized input/output schemas and handle OAuth, API keys, and certificate-based authentication transparently. The platform includes a visual service task designer that maps process variables to connector inputs and connector outputs to process variables without code.

Provides a visual application builder that generates web applications from process models and custom forms using drag-and-drop UI components (text fields, dropdowns, tables, file uploads). The builder generates responsive HTML/CSS/JavaScript applications that run in the browser and communicate with the process engine via REST APIs. Forms are bound to process variables, enabling automatic data capture and validation. The platform includes pre-built templates for common application patterns (approval workflows, request forms, dashboards).

Provides OCR and document parsing capabilities that extract structured data from unstructured documents (invoices, contracts, forms) using template matching and machine learning models. The system identifies key fields (invoice number, amount, vendor) and populates process variables automatically. Supports multiple document formats (PDF, images, scanned documents) and includes manual review workflows for low-confidence extractions. Extracted data is validated against schemas before feeding into automated processes.

Aggregates process execution data (cycle time, throughput, bottlenecks, resource utilization) and renders interactive dashboards with KPI visualizations, trend analysis, and drill-down capabilities. The analytics engine processes execution logs in real-time and compares actual performance against baseline metrics. Includes pre-built reports for common metrics (process duration, task completion rates, resource allocation) and allows custom metric definition via process variable aggregation.

Implements fine-grained access control based on user roles and organizational hierarchies, with automatic task assignment to users or groups based on configurable rules (department, skill level, workload). Supports task delegation, escalation to managers, and reassignment workflows. Access policies are enforced at the process, task, and data field levels, preventing unauthorized users from viewing sensitive information or performing restricted actions. Integration with LDAP/Active Directory enables automatic role synchronization.

Allows developers to extend platform functionality by writing custom code (JavaScript for client-side, Java for server-side) that integrates with process execution, form validation, and connector logic. Custom code is executed within sandboxed runtimes with access to process variables, connector APIs, and utility libraries. Supports custom service tasks, form validators, and connector transformers. Code is deployed as packages and versioned alongside process definitions.

Analyzes historical process execution logs using machine learning to discover actual process flows, identify deviations from designed processes, and recommend optimizations. The system detects bottlenecks, rework loops, and inefficient paths by comparing execution patterns against the BPMN model. Generates recommendations for process redesign (removing unnecessary steps, parallelizing tasks, automating manual steps) with estimated impact on cycle time and cost. Includes anomaly detection to flag unusual process executions.

Supports multi-tenant SaaS deployments where each tenant has isolated process definitions, data, and user bases with complete data segregation at the database and application levels. Tenants can customize process models, forms, and integrations independently without affecting other tenants. Billing and usage tracking are per-tenant, enabling consumption-based pricing models. Includes tenant provisioning workflows and self-service onboarding capabilities.