What are AI Employees?

GWE powers our entire AI workforce of high performing AI Employees and can help automate more of your enterprise workflows with ease. With GWE, you should be able to leverage hundreds of pre-built agents from the Ema library, external tools and app integrations, and even third party agents you have built on other platforms. GWE enables you to build a centralized centre of excellence for all your AI solutions to accelerate AI adoption and get you the best returns on all your AI investments.

This builder docs site helps you get started with building and maintaining your AI workforce with GWE. Follow along the video or text tutorials to get onboarded as a builder in less than a day.

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What are AI employees

Ema’s AI Employees are next-generation, auto-improving multi-agent systems that redefine enterprise automation. Built on the Generative Workflow Engine™, these AI Employees are designed to seamlessly integrate into your existing workflows, automating complex, end-to-end tasks with human-like adaptability. 

With a simple, no-code GWE interface, teams can rapidly create bespoke AI Employees that harness a vast library of specialized agents, ensuring high accuracy and continuous improvement through real-time feedback. Free up your human talent for strategic, creative work while your AI Employees handle the repetitive, mundane tasks—transforming productivity and driving innovation across your organization.

GWE serves as the brain for each AI Employee, by orchestrating an adaptive multi-agent workflow. Ema’s vast agent library allows you to create the right workflow quickly, for the fastest time to value and adoption of Agentic AI in any role. Each agent in a GWE workflow is powered by EmaFusion, Ema’s proprietary Mixture of Experts model that combines results from 100+ LLMs.

Ema's interfaces are powered by GWE, which uses pre-built agents and EmaFusion for the best accuracy.

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AI Employee Interfaces in Ema

While GWE Workflows serve as the brain of all of Ema’s AI Employees, they can have varied user interfaces to provide the best possible experience to their human collaborators.

AI Employees can interact with end users via different interfaces. Some of these are provided by Ema as Agentic AI native user interfaces. Additionally, Ema provides API access to the AI Employees so you can integrate them with custom applications as well.

The builder needs to select the interface before creating a workflow or asking GWE to auto-create one. Each of these interfaces are explained more thoroughly further in this guide.

Getting Access to GWE

The Generative Workflow Engine™ (GWE) powers Ema’s AI Employee Builder. Each AI Employee in Ema is powered by an adaptive, multi-agent workflow built using GWE. In this section, you will learn how to access and manage GWE within the product environment, along with an overview of its key functionalities.

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This section explains how to manage AI Employees within your workspace using the Ema App. It covers the process of inviting new users, navigating the AI Employees page, creating new AI Employees, and managing configurations through the Workflow Builder. Note that certain tasks require administrator privileges, so please verify your access level before proceeding.

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4. Accessing and Configuring Existing AI Employees

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Key GWE Features

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7. Returning to AI Employee Configuration

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This section introduces the basics of GWE within the Ema product, outlining how to access the Workflow Builder, navigate the visual canvas, configure agents, manage shared resources, and troubleshoot issues. For more detailed configuration options and advanced usage, please refer to the subsequent sections of our documentation.

Build your first workflow

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This section explains how to create a workflow for an AI Employee using the Ema App and GWE. Follow these guidelines to set up a new AI Employee, connect the necessary resources, configure agents, and publish the workflow.

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10. Incorporate Data Search Functionality

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11. Update and Replace Agents if Necessary

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EmaFusion™

EmaFusion: Detailed Configuration and Support Guide

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EmaFusion™ is Ema’s proprietary fusion technology that dynamically combines outputs from over 100 diverse Large Language Models (LLMs) to deliver the highest accuracy at the lowest cost and latency. Rather than relying on a single “best” model, EmaFusion intelligently selects and synthesizes the strengths of multiple models based on the specific task at hand. This dynamic approach ensures that your AI remains optimized, resilient, and future-proof across a wide range of enterprise applications—from content generation and customer support to data analysis and specialized domain queries.

Below, we provide a comprehensive guide on both the conceptual benefits of EmaFusion and the practical steps to configure it for your AI employees.

This section outlines the process for configuring EmaFusion for your AI employees. The configuration process can be performed at a general (global) level and overridden for specific agents if needed.

1. Setting Default EmaFusion setting using the Admin Configuration