# AI Employees by Easy-Peasy.AI

> AI Employees by Easy-Peasy.AI lets you hire virtual team members for roles like Chief of Staff, analyst, or designer. It is for teams who want to assign reading, writing, and scheduled tasks to AI coworkers that wait for approval before acting.

- Type: AI tool
- Page: https://completeaitraining.com/ai-tools/ai-employees-by-easy-peasyai/
- Published: 2022-12-29
- Updated: 2026-11-06
- Author: Jeroen Erne
- Jobs: Management, Executives and strategy, Writers, Creatives, Operations
- Topics: Productivity
- Reading time: 2 min

### About AI Employees by Easy-Peasy.AI

AI Employees is a feature within the Easy-Peasy.AI platform that lets users assign ongoing work to role-based AI teammates. Users can choose from 19 pre-built roles-such as Chief of Staff, Business Analyst, or Customer Support Rep-or describe a custom role. The system splits tasks among team members in a group chat thread, and by default, any outbound action like sending an email or changing a calendar waits for explicit user approval.

### Review

AI Employees approaches task delegation as a team management problem rather than a single-prompt interaction. Instead of configuring one assistant, you brief a group and the lead employee distributes the work. The product targets founders and small teams who need help with support, marketing, research, and reporting but don't have the budget to hire for every role.

#### Key Features

- **Role-based hiring with 19 preset roles** \- Users pick from roles like Graphic Designer, Email Marketing Specialist, and Business Analyst, or write a description to create a custom role. Each employee reads the user's website for context.
- **Group chat briefing with task splitting** \- One message to the team triggers the lead employee to divide work among teammates. Responses appear in a single thread, producing one consolidated write-up. Human team members can also be invited into the chat.
- **Approval-gated external actions** \- Emails, WhatsApp messages, calendar changes, and app actions default to a pending state. Users decide per employee which actions require approval, with an option to enable auto-approve in settings.
- **Persistent memory and scheduled routines** \- Each employee retains memory across sessions, has its own computer for files and code, and can run routines on a schedule or in response to triggers like incoming emails or webhooks.
- **Voice calling** \- When text interaction isn't practical, users can call an AI employee directly.

#### Pricing and Value

The first AI employee is free. Paid plans allow users to add more employees to their team, though specific plan tiers and per-employee costs are not detailed in the current product page. The broader Easy-Peasy.AI platform includes additional tools-Marky Agent for research and writing, AI Agents for customer-facing chat, plus image, video, and voice generation-bundled under the same subscription.

#### Pros

- 19 ready-made roles reduce setup time compared to building agent prompts from scratch.
- Approval defaults keep sensitive outbound actions under human control until the user decides otherwise.
- Group chat interface consolidates multi-step work into a single thread with a final write-up.
- Memory and scheduled routines mean employees continue tasks without repeated re-briefing.
- Real team members can join the chat, blending AI and human collaboration in one workspace.

#### Cons

- The approval workflow, while cautious, can create a bottleneck if many actions pile up for review-though auto-approve settings exist to mitigate this.
- Pricing beyond the first free employee remains unclear, making it hard to assess cost at scale.
- The tool isn't well suited for large enterprises with complex role hierarchies and compliance requirements that go beyond per-action approvals.

AI Employees fits small teams and founders who want to delegate recurring marketing, support, or research tasks to a coordinated group of AI assistants without giving up sign-off on external communications. It's less appropriate for organizations that need deep integrations with enterprise identity systems or granular, audit-trailed approval chains. The free first employee makes it straightforward to test whether the team-based delegation model matches how your actual work gets done.

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