Tonkean

Analyzes existing workflows and business processes to automatically detect repetitive tasks and manual steps that can be automated. Uses machine learning to identify patterns in how work is currently being done and recommends automation opportunities without requiring manual process mapping.

Enables users to create, configure, and modify automated workflows through a visual drag-and-drop interface without writing code. Supports conditional logic, branching, loops, and multi-step orchestration across connected systems.

Automatically logs all workflow actions, data changes, and user interactions to create comprehensive audit trails. Supports compliance requirements and provides visibility into who did what and when.

Provides pre-built workflow templates for common business processes (expense approval, purchase orders, onboarding, etc.) that can be quickly customized and deployed. Reduces time to automation by starting with proven patterns.

Sends automated notifications and alerts to users based on workflow events, escalations, or data conditions. Supports multiple channels (email, SMS, in-app) and can be customized by user role and preference.

Enables running automated workflows against large batches of items (documents, records, requests) in parallel or scheduled batches. Handles high-volume processing with built-in error recovery and retry logic.

Uses OCR and machine learning to automatically extract structured data from unstructured documents (invoices, contracts, forms, emails) and classify them by type, content, and metadata. Handles handwritten text, multiple formats, and complex document layouts.

Provides pre-built connectors and native integrations with major enterprise platforms (Salesforce, SAP, Oracle, Workday, etc.) without requiring middleware, custom APIs, or integration specialists. Handles authentication, data mapping, and bi-directional sync.

Creates intelligent approval chains and routing logic that automatically directs requests to appropriate approvers based on rules, amounts, departments, or other criteria. Tracks approval status, sends notifications, and escalates overdue requests.

Uses AI to analyze incoming work items and automatically prioritize and assign them based on urgency, complexity, team capacity, and skill requirements. Learns from historical patterns to improve assignment accuracy over time.

Coordinates complex multi-step processes that span multiple departments, systems, and teams. Manages handoffs, dependencies, parallel processing, and conditional branching to ensure work flows smoothly across organizational boundaries.

Tracks workflow execution, measures process performance metrics (cycle time, error rates, throughput), and provides dashboards and reports on automation effectiveness. Identifies bottlenecks and anomalies in real-time.

Enables creation of complex conditional statements and business rules that control workflow behavior based on data values, calculations, and external conditions. Supports if/then logic, loops, and dynamic decision-making without code.

Validates data quality at various points in workflows, detects errors and anomalies, and automatically handles or escalates issues. Includes data type checking, format validation, and business rule compliance verification.