AI for Process Overview

Streamline knowledge-intensive business processes with autonomous AI agents. Enterprises face operational bottlenecks in complex, cross-functional processes like onboarding, procure-to-pay, customer claims, and IT operations. These workflows depend on unstructured data, business judgment, and exceptions—areas where traditional automation struggles. AI for Process combines AI reasoning, system integration, and process automation into a unified platform. It enables agentic automation that understands inputs, reasons through decisions, coordinates across systems and teams, and achieves business outcomes autonomously.

Key Components and Capabilities

The platform provides 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 — web, mobile, APIs, and direct integrations — for users, systems, and external applications.
Application Gateway	Handles request routing, load balancing, and traffic distribution between external access points and internal services.
Services	Core AI and business logic layer: Workflow Engine, Expert AI Reasoning, AI model integrations, and Human-in-the-Loop framework. Executes processes, makes decisions, and coordinates multi-agent interactions.
Integrations	250+ pre-built connectors and API adapters for bidirectional data flow with enterprise systems including SharePoint, Salesforce, ServiceNow, databases, and email.
Security & Compliance	RBAC, data encryption, audit logging, and compliance frameworks to meet organizational and regulatory requirements.
Observability & Monitoring	Metrics, logs, and traces across all components for performance visibility, issue detection, and analytics.

Key Features

Feature	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.

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 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. This expands automation coverage, reduces complexity, and unlocks outcomes no single system can achieve alone.

Finance

Automate document-heavy financial workflows: Invoice processing, contract analysis, form extraction, data extraction, compliance approval workflows, etc.

[Document Received] → [AI Extraction] → [Data Validation] → [Approval Workflow] → [System Update]

HR

Automate employee lifecycle processes: Employee onboarding, access provisioning, etc.

[Request Submitted] → [Identity Verification] → [System Provisioning] → [Manager Approval] → [Onboarding Complete]

IT

Resolve and route IT issues without manual intervention: Zero-touch ticket resolution, event-driven automation, cross-system data synchronization, etc.

[Ticket Created] → [AI Classification] → [Automated Resolution] → [Verification] → [Ticket Closed]

Procurement

Streamline supplier onboarding and vendor management: Supplier onboarding, supplier management, compliance checks, etc.

[Supplier Request] → [Document Collection] → [Compliance Check] → [Approval] → [Vendor Activated]

Customer Support

Manage complaints and route customer issues intelligently: Complaint and escalation management, intelligent routing, customer service response workflows, etc.

[Complaint Received] → [AI Triage] → [Intelligent Routing] → [Resolution] → [Case Closed]

Content Generation

Generate and review content at scale: Marketing copy, product descriptions, report generation, email drafting, etc.

[Brief Input] → [AI Generation] → [Quality Check] → [Human Approval] → [Publish]

Data Processing

Transform and enrich data: Data transformation, data enrichment, data validation, etc.

[Data Input] → [AI Classification] → [Enrichment] → [Validation] → [Output]

​Key Components and Capabilities

​Key Features

​How It Works

​Use Cases

​Finance

​HR

​IT

​Procurement

​Customer Support

​Content Generation

​Data Processing