Master Ema AI (Universal AI Employee) with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Schedule comprehensive enterprise demo with Ema's sales team via ema.ai/contact Complete thorough security and compliance review aligned to your organization's requirements Define specific business functions, use cases, and success metrics for initial deployment Conduct focused pilot deployment with a single department or use case over 4
12 weeks Configure essential enterprise application integrations and data connections Train departmental stakeholders and expand deployment based on pilot results
💡 Quick Start: Follow these 2 steps in order to get up and running with Ema AI (Universal AI Employee) quickly.
Explore the key features that make Ema AI (Universal AI Employee) powerful for enterprise agents workflows.
Deploys role-specific AI agents ('Personas') across departments — customer support, HR, IT, legal — from a single platform, reducing the need for multiple point solutions.
Allows business users to create, configure, and modify AI agent workflows through a natural-language conversational interface without writing code.
Proprietary technology that automatically generates and adapts multi-step workflows based on natural-language descriptions of business processes.
Orchestration layer that routes tasks to different LLMs (OpenAI, Anthropic, Google, Meta) based on cost, latency, and accuracy requirements for each specific task.
Handles end-to-end task resolution without human intervention. The company reports 75%+ resolution rates in customer support deployments, though independent benchmarks are not publicly available.
Connects to major enterprise systems including Salesforce, ServiceNow, Workday, Microsoft 365, and other business applications via pre-built connectors and APIs.
It refers to Ema's design philosophy of creating AI agents that can operate across multiple enterprise departments — customer support, HR, IT, legal, and more — rather than being limited to a single function. Each agent is configured as a 'Persona' tailored to a specific role.
EmaFusion is a multi-model orchestration layer that routes tasks to different LLMs (including models from OpenAI, Anthropic, Google, and Meta) based on factors like cost, latency, accuracy requirements, and task complexity. This allows Ema to optimize for performance and cost across different use cases.
Ema does not publish pricing publicly. Reports suggest enterprise contracts start around $50,000 per year, but actual pricing varies based on deployment scope, number of personas, integration requirements, and usage volume. Contact Ema's sales team for a custom quote.
Ema holds SOC 2 Type II certification and supports GDPR and HIPAA compliance. The platform offers end-to-end encryption, role-based access controls, enterprise SSO integration, and configurable data residency options across US, EU, and APAC regions.
Moveworks is primarily focused on IT service desk automation, while ServiceNow AI is tightly coupled to the ServiceNow ecosystem. Ema positions itself as a cross-departmental platform that can deploy AI agents across customer support, HR, IT, legal, and other functions from a single no-code interface, though Moveworks and ServiceNow have longer production track records.
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Tutorial updated March 2026