Key Components
AI for Process is designed to provide a unified, flexible framework for implementing AI capabilities within an enterprise. It combines pre-built components, customization options, and integration capabilities to address a wide range of business needs while ensuring security and compliance.
| Component | Description |
|---|---|
| Access Points | Entry interfaces for users, systems, and external applications to interact with the platform through web-based interfaces, mobile applications, APIs, and direct integrations. |
| Application Gateway | Central routing and management layer for request handling, load balancing, and traffic distribution. Ensures secure and efficient communication between external access points and internal services. |
| Services | Core business logic and AI processing layer, including the Workflow Engine, Expert AI Reasoning, multiple AI model integrations, and the Human-in-the-Loop framework. Executes automated processes, makes intelligent decisions, and coordinates multi-agent interactions. |
| Integrations | Enterprise connectivity layer with pre-built connectors, API adapters, and data transformation services. Manages bidirectional data flow between AI for Process and existing organizational infrastructure, supporting over 250 enterprise integrations including SharePoint, Salesforce, ServiceNow, enterprise databases, and email systems. |
| Security & Compliance | Enterprise-grade protection through role-based access control, data encryption, audit logging, and regulatory compliance frameworks. Ensures all operations meet organizational and regulatory security standards. |
| Observability & Monitoring | Comprehensive visibility into system performance through metrics, logs, and traces across all components. Enables proactive issue detection, performance optimization, and detailed analytics. |
How It Works
┌─────────────────────────────────────────────────────────────────────────────┐
│ Trigger │
│ (API, Schedule, Event, Manual) │
└──────────────────────────────────┬──────────────────────────────────────────┘
| │ |
| ▼ |
┌─────────────────────────────────────────────────────────────────────────────┐
│ Workflow Engine │
│ │
│ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │
│ │ Start │───►│ AI │───►│ Human │───►│ API │───►│ End │ │
│ │ Node │ │ Node │ │ Node │ │ Node │ │ Node │ │
│ └─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘ │
│ │ │ │
│ ▼ ▼ │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ Model │ │ Inbox │ │
│ │ Hub │ │ Queue │ │
│ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────────────────┘
| │ |
| ▼ |
┌─────────────────────────────────────────────────────────────────────────────┐
│ Output │
│ (API Response, File, Notification) │
└─────────────────────────────────────────────────────────────────────────────┘
Use Cases
AI for Process automates complex business workflows as an overlay automation layer that integrates with your existing enterprise ecosystem—ERP (SAP, Oracle), CRM (Salesforce, MS Dynamics), ITSM (ServiceNow, Zendesk), RPA (UiPath, Automation Anywhere, Power Automate), and data platforms—without replacing current investments.Finance
- Invoice processing: faster cycle time, lower operational cost.
- Document processing, data extraction, and compliance approval workflows.
HR
- Employee onboarding and access provisioning: day-1 readiness, fewer manual handoffs.
IT
- Zero-touch ticket resolution: higher auto-closure of routine tickets.
- Event-driven automation and cross-system data synchronization.
Procurement
- Supplier onboarding and management: higher conversions, reduced manual follow-ups.
Customer Support
- Complaint and escalation management: significant reduction in non-compliance effort.
- Intelligent routing and response for customer service workflows.