- Tool type
- Enterprise AI employee platform
- Made for
- Enterprise HR, IT and finance teams
- Runs on
- Connected collaboration channels with hosted or on-premises deployment
What it does
Ema is an enterprise AI platform for creating and deploying AI employees. Teams describe the desired workflow, connect business systems and ground the agents in company context. Common uses include recruiting, onboarding, employee questions and other HR, IT or finance work.
The platform supports communication through tools such as Teams and Slack, with action permissions, audit trails and configurable human approvals. On-premises and isolated deployments are available. It is useful for enterprises coordinating work across systems; confirm trial scope, deployment requirements and outcome-based commercial terms before rollout.
What it can do
- Natural-language agent building
- Multi-system workflows
- Employee assistance
- Action permissions
- Human approvals
- Audit trails
Works with
- Microsoft Teams
- Slack
Before you choose
- Confirm trial duration, deployment scope and outcome billing terms.
- Review agent actions and exceptions before relying on automation.
Listed under
Get started
- Start a trial or arrange the enterprise deployment.
- Connect authorized systems and define the workflow.
- Set action permissions and human approval chains, then test.
Plans and prices
The provider advertises a free trial and outcome-based pricing. Ask for trial limits, outcome definitions and enterprise deployment terms.
Ema Universal AI Employee doesn’t publish prices. You get a quote by contacting sales. See their pricing page ↗
Sources for this overview
Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.
Ratings and reviews
No ratings for Ema Universal AI Employee yet.
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How we research- Company website
- ema.ai: product, pricing and policy pages
- YC directory mirror
- Batch and company name
- Human review
- Checked by a person
- knowledge_base
- manual_review
Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.