Enterprise Team

Hire a whole company with one plugin.
75 specialized AI agents across Engineering, Product, Infrastructure, Data, Security, Marketing, Sales, Finance, Legal, and People.

Evolution: ChatGPT → Claude Code → Claude Code with skills → 75 AI employees auto-routing your requests

The Problem with Generalist Agents

When you ask Claude Code to "build me a dashboard," it does its best. But Claude is trying to be everything at once: frontend developer, backend engineer, database architect, and UI designer. The result? Competent but generic work.

The real issue is context switching at scale. A generalist agent:

Has to hold patterns for dozens of domains simultaneously
Can't go deep on any single specialty
Applies the same approach whether the task needs a security mindset or a marketing mindset
Doesn't know when to ask for help from a different discipline

You end up with code that works but doesn't reflect what a dedicated specialist would produce. The API design a backend-focused engineer would craft. The component architecture a frontend specialist would build. The security hardening an AppSec engineer would insist on.

Skills help, but they're manual. You have to know which skill to invoke, when to switch contexts, and how to coordinate handoffs between different specialties. That cognitive load is on you.

A Different Approach

What if Claude Code could operate like an actual company?

The key insight: departments exist for a reason. Real organizations don't have one person doing everything. They have specialists who go deep, orchestrated by managers who route work to the right people.

Enterprise Team replicates this structure:

Department Orchestrators understand what their specialists do and route work accordingly
Specialists go deep on their domain with focused system prompts, tools, and patterns
Cross-functional routing means a single request can flow through multiple departments seamlessly

When you say "build me a settings page with dark mode," Enterprise Team doesn't just write code. The orchestrator recognizes this needs:

Frontend Engineer for component architecture
UI Designer for the visual system
Backend Engineer if settings need persistence
Security Engineer if settings include sensitive data

Each specialist contributes their expertise. The result is closer to what a real team would produce.

No More Guessing - Enterprise Team Routes to the Right Specialists

How It Works

Phase 1: Request Analysis

When you make a request, the orchestration layer analyzes it:

User: "Set up authentication with OAuth and add a login page"

The orchestrator identifies:

Primary domain: Engineering (auth system + UI)
Specialists needed: Backend Engineer (OAuth flow), Frontend Engineer (login page), Security Engineer (token handling)
Sequence: Security review of approach → Backend implementation → Frontend integration

Phase 2: Specialist Dispatch

Each specialist receives:

The original request with relevant context
Their domain-specific system prompt (security mindset, performance focus, etc.)
Access to tools appropriate for their role
Awareness of what other specialists are handling

The Backend Engineer focuses on:

OAuth provider integration
Token refresh logic
Session management
API endpoint design

The Frontend Engineer focuses on:

Login form UX
Error state handling
Loading states
Redirect flows

The Security Engineer reviews:

Token storage (not localStorage!)
CSRF protection
Rate limiting needs
Secure cookie configuration

Phase 3: Integration

Work products from specialists are integrated with awareness of each other. The frontend engineer knows what endpoints the backend engineer created. The security engineer's requirements are applied to both.

When Departments Hand Off

Cross-functional work is common:

Enterprise Team

Hire a whole company with one plugin.
75 specialized AI agents across Engineering, Product, Infrastructure, Data, Security, Marketing, Sales, Finance, Legal, and People.

Evolution: ChatGPT → Claude Code → Claude Code with skills → 75 AI employees auto-routing your requests

The Problem with Generalist Agents

The real issue is context switching at scale. A generalist agent:

Has to hold patterns for dozens of domains simultaneously
Can't go deep on any single specialty
Applies the same approach whether the task needs a security mindset or a marketing mindset
Doesn't know when to ask for help from a different discipline

Skills help, but they're manual. You have to know which skill to invoke, when to switch contexts, and how to coordinate handoffs between different specialties. That cognitive load is on you.

A Different Approach

What if Claude Code could operate like an actual company?

Enterprise Team replicates this structure:

Department Orchestrators understand what their specialists do and route work accordingly
Specialists go deep on their domain with focused system prompts, tools, and patterns
Cross-functional routing means a single request can flow through multiple departments seamlessly

When you say "build me a settings page with dark mode," Enterprise Team doesn't just write code. The orchestrator recognizes this needs:

Frontend Engineer for component architecture
UI Designer for the visual system
Backend Engineer if settings need persistence
Security Engineer if settings include sensitive data

Each specialist contributes their expertise. The result is closer to what a real team would produce.

No More Guessing - Enterprise Team Routes to the Right Specialists

How It Works

Phase 1: Request Analysis

When you make a request, the orchestration layer analyzes it:

User: "Set up authentication with OAuth and add a login page"

The orchestrator identifies:

Primary domain: Engineering (auth system + UI)
Specialists needed: Backend Engineer (OAuth flow), Frontend Engineer (login page), Security Engineer (token handling)
Sequence: Security review of approach → Backend implementation → Frontend integration

Phase 2: Specialist Dispatch

Each specialist receives:

The original request with relevant context
Their domain-specific system prompt (security mindset, performance focus, etc.)
Access to tools appropriate for their role
Awareness of what other specialists are handling

The Backend Engineer focuses on:

OAuth provider integration
Token refresh logic
Session management
API endpoint design

The Frontend Engineer focuses on:

Login form UX
Error state handling
Loading states
Redirect flows

The Security Engineer reviews:

Token storage (not localStorage!)
CSRF protection
Rate limiting needs
Secure cookie configuration

Phase 3: Integration

When Departments Hand Off

Cross-functional work is common:

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Enterprise Team

The Problem with Generalist Agents

A Different Approach

How It Works

Phase 1: Request Analysis

Phase 2: Specialist Dispatch

Phase 3: Integration

When Departments Hand Off

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Enterprise Team

The Problem with Generalist Agents

A Different Approach

How It Works

Phase 1: Request Analysis

Phase 2: Specialist Dispatch

Phase 3: Integration

When Departments Hand Off