The AI landscape, simplified
Every AI tool falls somewhere on two axes: does it wait for you or act on its own? And do you need to build it or is it ready to work?
Four categories of AI in the workplace. Only one is both proactive and ready to work.
Gemini for Workspace, Copilot 365, Claude Cowork. Already in your tools, zero setup. But they only work when you ask. You write the prompt, they draft the email. You close the tab, they stop. They make you faster at tasks you already do. They never start anything on their own.
Shadow Workers difference: We don't wait for prompts. You set a goal, we work while you sleep.
Dust, Openclaw, Relevance AI, 11x. Once configured, they act on their own. But getting there is the hard part. You design workflows, connect data sources, build triggers, test, debug, maintain. Weeks of work before your first result. If something breaks, you fix it.
Shadow Workers difference: No building. Hire a worker, set a goal, it runs.
ChatGPT, Claude, Gemini (raw). Incredibly smart, but you prompt, they answer. Every single time. No memory between sessions, no integrations, no autonomous execution. Great for one-off questions. Not a replacement for a teammate.
Shadow Workers difference: Built-in role knowledge, persistent memory, and they execute end-to-end.
Shadow Workers. Ready from day one, proactive every day after. You hire a worker by role (SDR, AE, AM, CRM Ops), give it a goal, and it works. It prospects, sends outreach, follows up, books meetings. No setup, no prompting, no babysitting.
The only quadrant that combines both: autonomous execution without the build time.
Some tools sit near our quadrant. Here's why we're not the same.
One AI that runs your entire company, strategy, code, marketing, ops. We believe this isn't reachable today. The skill surface is too wide, the context too large. AI needs to be specialized by role to be reliable. Shadow Workers replace jobs one by one, each worker with deep expertise in its function.
One AI agent that knows everything and does everything. We believe a single generalist can't master every job. AI needs to be sectorized by role: your SDR knows prospecting, your AE knows deal management, your AM knows retention. Depth over breadth.
An open-source framework for building AI agents. Powerful if you have the engineering team. But heavy setup, ongoing maintenance, and you're on your own for agent design and governance. Shadow Workers are ready from day one, no code, no configuration.
The closest to us in philosophy, proactive, role-based, ready to work. But narrow: marketing only (SEO, content, social). Shadow Workers cover the full GTM function, sales, pipeline, CRM, account management, and more. And we're built for enterprises, with governance, role isolation, and audit trails.
The real difference isn't just the quadrant. It's what's under the hood.
Not one AI that does everything. Specialized workers for each role. Your SDR is not your AE. Each has its own skills, context, and objectives.
Designed to work like real teammates. They have names, roles, goals, and working hours. They report progress, ask questions when stuck, and hand off to humans when needed.
Role-based access, context isolation between workers, audit trails, approval workflows. The agent architecture enterprises actually need to deploy AI safely at scale.
Scroll horizontally on mobile to see all competitors
| Shadow Workers | Gemini for Workspace | Microsoft Copilot 365 | Claude Cowork | Dust | Openclaw | Viktor | Polsia | Okara.ai | |
|---|---|---|---|---|---|---|---|---|---|
| Category | AI Workforce | Copilot | Copilot | AI Assistant | Agent Builder | Agent Framework | AI Colleague | Autonomous Company | AI CMO |
| Pricing | Free to $800/mo (task-based) | Included in Workspace plans | $30/user/mo | Not disclosed | 29 EUR/user/mo | Open-source + hosting | $99-$999/mo (credits) | $50/mo + 20% revenue | $99/mo |
| Roles available | 29+ roles across 7 departments | General assistant | General assistant | Single generalist | Build your own | Build your own | Single omniscient generalist | One AI runs everything | Marketing only |
| Interface | Slack-native | Gmail, Docs, Sheets, Meet | Word, Excel, Outlook, Teams | Web platform | Dedicated platform | Developer platform | Slack / Teams | Web platform | Web platform |
| Setup time | Minutes | Already there (Google users) | Already there (M365 users) | Account setup + prompting | Hours to weeks (build agents) | Days to weeks (code + deploy) | Minutes (add to Slack) | Company-level onboarding | Enter your URL, agents deploy |
| Autonomy level | Proactive, goal-based | Reactive, you ask, it answers | Reactive, you ask, it answers | Reactive, prompt-driven | Proactive (once built) | Proactive (once built) | Reactive, task by task | Fully autonomous (in theory) | Proactive (marketing channels) |
| GTM depth | Purpose-built for GTM | General-purpose | General-purpose | General-purpose | General-purpose | Whatever you build | General-purpose | Broad, shallow | Marketing only, not sales |
| Slack-native | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✓ | ✕ | ✕ |
| Task-based pricing | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✓ |
| Multi-role workforce | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ |
| Self-onboarding | ✓ | ✓ | ✓ | ✓ | ✕ | ✕ | ✓ | ✕ | ✓ |
| End-to-end execution | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ |
Dive deeper into each head-to-head
A copilot (like Microsoft Copilot 365 or Gemini for Workspace) is reactive: it waits for you to ask, then helps. An AI employee (like Shadow Workers) is proactive: you give it a goal and it works on its own, finding leads, sending outreach, booking meetings, without you prompting each step. Same technology. Completely different work model.
You can. But building agents is engineering work, and maintaining them is ongoing work. Dust and Openclaw are powerful platforms for teams with dedicated AI engineers. Shadow Workers are pre-built AI coworkers designed around real job roles. You hire one, give it a goal, and it works. No building, no workflow design, no debugging. If you want to build, use an agent platform. If you want to hire, use Shadow Workers.
Viktor is one AI agent that does everything. Shadow Workers are specialized: your AI SDR knows prospecting, your AI AE knows deal management, your AI AM knows retention. We believe AI needs to be sectorized by role to go deep enough. One generalist can't master pipeline management, outbound strategy, and CRM ops at the same time. That's why we hire workers by role, not deploy one chatbot for everything.
Yes. That's our main difference from every competitor in the space. We design human-like colleagues with governance built in: role-based access control, context isolation between workers, audit trails, approval workflows, and proper agent architecture. Replacing jobs at scale in an enterprise requires a fundamentally different tech stack than building a demo chatbot. We built for that from day one.
Copilots and assistants wait for your prompt. Shadow Workers don't. You set a goal like "Book 10 meetings a week with VP-level SaaS prospects" and they work continuously: researching, outreaching, following up, booking. They act on their own, every day. That's the fundamental shift from copilot to AI employee.
Your first Shadow Worker is ready in 30 seconds. No contracts, no workflows to build, no AI to babysit.