Elementum integrates artificial intelligence throughout the platform to automate decision-making, process information, and provide intelligent assistance. AI capabilities operate natively within your data cloud infrastructure, enabling processing on live data without data movement or replication.

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AI Providers

Connect with leading AI providers to power your workflows and agents with state-of-the-art language models.

OpenAI Integration

Access GPT models and latest reasoning models for advanced language processing and automation

Snowflake Cortex

Native data cloud AI with LLM services, embeddings, and AI search capabilities

Google Gemini

Leverage Google’s advanced AI models through Vertex AI for diverse language tasks

Provider Comparison

Compare features, capabilities, and best use cases across all AI providers

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AI Services & Automation

Configure AI services for your workflows and enable intelligent automation capabilities.

AI Services

Configure LLM services for automation actions and embedding models for semantic search

AI Search

Enable semantic search across your data using natural language queries

AI in Automations

Intelligent automation actions that analyze, classify, and transform data automatically

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AI Agents

Deploy intelligent agents that interact with users and execute complex business processes.

Agent Architecture

Understand how AI agents work and integrate with your workflows

Agent Experience

Learn how to create and manage AI agents for your business needs

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AI Capabilities

1

Provider Integration

Connect with OpenAI, Snowflake Cortex, or Google Gemini to access advanced language models.
2

Intelligent Automation

Use AI actions to classify data, summarize content, extract insights, and transform information within automation workflows.
3

Document Processing

Automatically analyze contracts, invoices, and reports to extract structured data using AI file analysis.
4

Semantic Search

Enable natural language search across your data using embedding models and vector databases.
5

Conversational Agents

Deploy AI agents that understand context, use tools, and execute complex workflows including automation tasks.
6

Multi-Channel Deployment

Integrate agents across Microsoft Teams, phone systems, and workflow interfaces with automation integration.

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Common AI Use Cases

Automated Document Processing

Extract structured data from contracts, invoices, and forms with AI file analysis in automation workflows.

Intelligent Customer Support

Route tickets, classify issues, and provide automated responses using AI classification and agent tasks.

Data Transformation

Clean, normalize, and enhance data automatically using AI transformation actions within automations.

Semantic Search

Find relevant information using natural language queries across your data warehouse.

Smart Workflow Routing

Make intelligent routing decisions and automate complex business processes with AI-powered automation.

Agent-Assisted Automation

Combine conversational AI agents with automation workflows for complex task execution.

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Getting Started with AI

Start with a Provider: Choose an AI provider based on your needs - Snowflake Cortex for data cloud integration, OpenAI for advanced reasoning, or Gemini for cost-effective processing.
Configure Services: Set up AI services to enable automation actions and search capabilities in your workflows.
Build Agents: Create AI agents that can interact with users and execute tasks using natural language understanding.
Test and Iterate: Start with simple use cases and gradually build more complex AI-powered workflows.

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AI Feature Combinations

Document Processing Workflow

AI Provider + AI Services + AI in Automations + File Analysis Actions

Customer Support System

AI Agent + AI Search + AI Classification + Automation Workflows

Data Enhancement Pipeline

AI Services + AI Data Transformation + Semantic Search + Analytics

Agent-Driven Automation

AI Agents + Agent Tasks + Automation Workflows + Multi-Channel Integration

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Architecture Benefits

Data Cloud Native AI processing occurs directly within your data cloud environment, eliminating data movement and maintaining security boundaries. Real-Time Processing AI operates on current data states rather than stale copies, ensuring decisions reflect the most recent information. Integrated Security AI capabilities inherit your existing data cloud security frameworks, including access controls and audit logging. Scalable Performance Processing scales with your data cloud infrastructure, handling enterprise workloads efficiently.

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Next Steps

Explore these resources to implement AI capabilities in your workflows:

Provider Setup

Choose and configure your AI provider for immediate use.

AI in Automations

Learn about AI actions available for intelligent automation workflows.

Agent Development

Build conversational agents and integrate them with automation workflows.

Best Practices

Follow proven patterns for implementing AI-powered workflows.