Kognitos

Converts conversational business process descriptions into executable automation logic using NLP-based intent recognition and entity extraction. The system parses unstructured natural language input to identify workflow steps, conditions, and data dependencies, then maps these to internal workflow representations without requiring visual programming or code. This approach leverages semantic understanding to capture nuanced business requirements that traditional drag-and-drop interfaces might miss or require extensive configuration to express.

Processes document-heavy workflows by extracting structured data from unstructured documents (PDFs, emails, forms, scanned images) using NLP and pattern recognition. The system identifies relevant fields, tables, and entities within documents and maps them to workflow variables and downstream process steps. This capability enables automation of document-centric processes like invoice processing, contract review, or form data extraction without manual field mapping.

Executes complex conditional branching and business rules within automated workflows based on extracted data, external system states, or user-defined conditions. The system evaluates if-then-else logic, loops, and multi-branch decision trees expressed through natural language or visual rule builders. Rules can reference data from previous workflow steps, external APIs, or database queries, enabling dynamic workflow routing without hardcoded logic.

Orchestrates interactions with external business systems (ERP, CRM, accounting software, databases) by executing API calls, database queries, and system-specific connectors as part of workflow execution. The platform abstracts system-specific integration details through pre-built connectors or generic HTTP/API capabilities, allowing workflow steps to read from and write to external systems without manual API management. Integration points can be triggered conditionally based on workflow state or data values.

Tracks workflow execution in real-time, logging each step's inputs, outputs, decisions made, and system interactions for compliance and debugging purposes. The platform maintains an audit trail of what actions were taken, when, by which workflow instance, and what data was processed. Monitoring capabilities provide visibility into workflow performance, error rates, and bottlenecks, enabling process optimization and regulatory compliance documentation.

Provides pre-built workflow templates for common business processes (invoice processing, expense approval, document classification) that can be customized through natural language or visual configuration. Templates encapsulate best practices and standard process flows, reducing implementation time for common scenarios. Users can create custom templates from existing workflows and share them across teams or organizations, enabling process standardization and knowledge reuse.

Pauses workflow execution at designated steps to request human review, approval, or input before proceeding. The system routes approval requests to specified users or groups, tracks approval status, and can escalate requests if not addressed within defined timeframes. Approvers can provide feedback, request changes, or reject actions, with the workflow responding accordingly. This capability enables workflows to handle exceptions, high-value transactions, or policy-sensitive decisions that require human judgment.

Enables workflows to be triggered by various events (document upload, email receipt, scheduled time, external system webhook, manual user action) and executed on defined schedules (daily, weekly, on-demand). The system manages trigger conditions, scheduling logic, and ensures reliable workflow invocation without manual intervention. Triggers can be combined with conditions to create sophisticated automation patterns (e.g., process invoices daily at 2 AM, but only if new documents were uploaded).