Streamline knowledge-intensive business processes with autonomous AI agents.
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.
Key Solution Features and Concepts
| Concept | Description |
|---|
| Workspaces | Logical groupings of workflows and configurations, typically organized by teams or projects. A workspace determines what data and workflows are accessible and which permissions apply to users within that specific environment. |
| Workflows | Structured, executable flows of tasks designed to automate a specific business process. Each workflow run executes independently based on provided inputs and follows a predefined sequence to ensure predictable outcomes. |
| Nodes | Fundamental building blocks of automation arranged and connected on the visual builder canvas. Categorized by function: AI (multimodal processing), Logic (branching and loops), Integration (API calls), and Control (Start/End). |
| Triggers & Schedules | Enable event-driven automation by initiating workflows automatically. Workflows can be triggered by real-time events in third-party apps, predetermined time intervals via the scheduler, external API calls, or manual actions. |
| Context Object | Central runtime state container that captures inputs, intermediate data, and node-level status for a specific execution instance. Dynamically updated as the workflow progresses, allowing nodes to share data through context interpolation using double-curly syntax. |
| Prompt Studio | Dedicated workspace for managing the entire lifecycle of prompts, from creation and testing to optimization. Supports multi-model comparison, version control, and over 65 pre-built templates for common use cases. |
| Model Hub | Centralized interface for full control over the AI model lifecycle. Supports external providers (OpenAI, Google), open-source models (Hugging Face), and fine-tuned models. Allows organizations to customize models using proprietary data and deploy them for inference. |
| Inbox (Human-in-the-Loop) | Centralized queue where human reviewers process tasks that require manual judgment, such as approvals, data input, or content review. The Human Node pauses a workflow until a designated user provides the required input or the task reaches a timeout. |
| Guardrails | Safety measures that deploy scanners to evaluate prompts and AI responses for toxicity, bias, PII anonymization, and prompt injection. Ensure AI interactions remain appropriate and compliant with organizational standards. |
| Observability & Analytics | Suite that includes the Workflow Monitor, Audit Logs, and performance dashboards for visibility into system interactions and efficiency. Tracks metrics such as success rates, average response times, latency, and token consumption. |
| Security & Administration | Enterprise-grade controls that manage users via Role-Based Access Control (RBAC) and secure authentication through Single Sign-On (SSO). Admins can configure Active Directory synchronization to automate user data management. |
| Integrations | Connectivity layer with pre-built connectors for over 120 third-party services, including Salesforce, Slack, and AWS S3. Enables seamless data exchange between the workflow engine and an organization’s existing infrastructure. |
