# Glossary

## **AI Agents**

Native, prebuilt analytical agents in Tellius designed to perform targeted tasks across the data-to-insight journey. These smart agents are reusable components that handle tasks like planning, data preparation, visualization, insight generation, and more. They are pre-trained and require no code to use. Each agent is optimized for a specific analytical function, and multiple agents can be combined to build **Agentic Flows**.

#### **Validation Agent**

This agent ensures the quality, safety, and feasibility of every query before it runs. It performs:

* Structural validation of the input
* Verification of user intent
* Data availability checks
* Permission enforcement

By catching issues early, the Validation Agent prevents invalid or unauthorized actions and ensures the workflow is built on reliable, clean foundations.

#### **Planner Agent**

The strategic coordinator of the workflow. When a user inputs a question or request, this agent:

* Understands the task
* Breaks it down into subtasks
* Maps each task to the appropriate AI agent
* Arranges the order of execution

#### **Data Prep Agent**

This agent handles data readiness. It automates tasks like:

* Selecting relevant datasets
* Applying filters and joins
* Loading Business Views
* Preparing structured inputs for downstream agents

It eliminates manual effort and ensures that each subsequent step in the workflow operates on clean, correct data.

**Visualization Agent**

This agent transforms data into visuals by:

* Choosing the most appropriate visual format (charts, graphs, tables)
* Generating visuals automatically based on context
* Highlighting key trends and outliers visually

It helps users grasp complex data patterns at a glance without building visuals manually.

**Insights Agent**

A powerful analytical engine that dives deep into the data to:

* Detect patterns, trends, and anomalies
* Surface root causes and "why" explanations
* Deliver contextual, multi-dimensional insights

This agent adds depth to dashboards by moving beyond surface-level metrics.

**Summary Agent**

This agent takes complex data and insights and converts them into plain-language summaries. It:

* Extracts key takeaways
* Generates concise narratives
* Communicates the essence of analytical outputs quickly

Perfect for executive reporting or users who want the “story” behind the data without reading through charts or tables.

**Knowledge Graph Agent**

A relationship-mapping agent that:

* Connects entities (e.g., products, customers, geographies)
* Identifies hidden relationships and correlations
* Powers smarter, context-aware recommendations

It enriches analysis by adding a layer of intelligence that understands the relationships behind data points.

## **Agentic Flow** *(also called: Agentic Workflow)*

A complete, executable workflow composed of one or more AI Agents working together to perform a multi-step analytical task. Agentic Flows can automate:

* Data validation
* Data preparation
* Visualization
* Insight extraction
* Narrative summarization

Agentic workflow steps can be defined using natural language, and the appropriate agents are orchestrated automatically. These flows are created in **Composer**, and can be saved, reused, and shared via the **Agent Library**.

## **Agent Library**

A centralized workspace that stores and manages all user-defined **Agentic Flows** across the organization. It contains two sections:

* **Published Agents**: These are fully configured, ready-to-use workflows available for execution.
* **Draft Agents**: These are in-progress flows being built in Composer, not yet finalized or published.

Agentic flows can be edited, deleted, or duplicated from **Agent Library.**

<figure><img src="https://content.gitbook.com/content/8GaK1h3pmgbR63x0ftET/blobs/ZlfVNbBQXI4vcuMJMxUm/image.png" alt="" width="563"><figcaption><p>Agent Library</p></figcaption></figure>

## **Composer**

A no-code development studio where you can create **Agentic Flows** using simple instructions in natural language. It enables business users, analysts, and data teams to build intelligent workflows without programming. Composer includes:

* **Name and Description**: Start by naming the workflow and briefly describing its purpose.
* **Data Source**: Connect and configure the data to be used in the workflow.
* **Steps**: Each step is a natural language instruction that activates a specific agent.
* **Triggers**: Define the phrases or questions that will initiate the flow. Triggers are customizable and flexible—you can set multiple variations to capture different ways you might phrase the same request. Example: For "Products to discontinue", you can set the variations "*Which products should we stop selling?*", "*Drop candidates?*", "*Low-performing SKUs?*".

## Deep Insight

The **Deep Insight** button tells Kaiya to run in agentic mode (both user-defined and automated workflows). When it is on, Kaiya does multi-step planning (SQL → optional Python → summary), applies guardrails (row-level policies, fiscal calendars, join-grain checks), and returns timing, magnitude, ranked drivers, visuals, and next steps.

<figure><img src="https://content.gitbook.com/content/8GaK1h3pmgbR63x0ftET/blobs/CzIxxsGvg2HctgXcfl6Z/image.png" alt=""><figcaption></figcaption></figure>