Humatron AI
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Trusted AI Workers
step 1
plan
Talk to Liam to get started. Plan your AI workforce strategy, learn about the benefits of AI workers, and kick off your first build.
step 2
build
Create your own secure and trusted software-defined AI worker build using zero code studio, built-in Blackbox agent and MCP.
step 3
hire 🚀
Hire your AI worker and start working instantly - add channels, fine tune behavior, and watch it learn and adapt to your team.

Why AI workers? »

Most companies now run AI initiatives - few see real productivity gains. That's because deployments focus on personal tools - copilots, chatbots, assistants - that boost individual efficiency but don't transform organizations.
The real shift comes when enterprises start adopting a hybrid workforce model and use AI as a workforce multiplier: secure and trusted software-defined AI workers that operate independently, handle business functions, collaborate across teams, and integrate into existing processes.
Humatron is the enterprise SaaS platform that makes building this AI workforce quick and simple.
Learn more about AI workers benefits, and look at our FAQ.

AI workers »

AI workers are secure, trusted and autonomous digital employees. They integrate into existing teams, handle complex tasks on their own, collaborate across teams and organizations, and improve over time through learning and adaptation.
While related to AI agents, AI workers are different. Agents are mostly single-user tools, while workers act like full team members across an organization.
FeatureAI WorkersAI Agents
ScopeTeam-wide employeeIndividual tool
IntegrationEmail, Slack, Zoom, Phone...Chat
AutonomyAutonomous, asyncRequest-response
ROIOrganizational impactIndividual productivity
Core traits of AI workers:
  1. Role - Built to function as digital employees, not just tools.
  2. Autonomy - Can initiate and complete tasks without human oversight.
  3. Integration - Work within existing enterprise tools and workflows.
  4. Human-like behavior - Adjust, collaborate, and mirror team dynamics.
  5. Emotional intelligence - Personalization, pronouns, and cultural fit.
  6. Self learning - Onboard fast, learn new skills, and adjust as needed.
Learn more about AI workers benefits.

Working with AI worker »

AI workers integrate into teams like human employees - no new tools, processes, or training required. You interact with them through email, Zoom, Slack, Teams, and more, just as with colleagues.
They offer clear advantages: 100% retention, zero turnover, flexible assignments, cultural alignment, and lower total cost. For data-heavy or analytical work, they deliver higher productivity and accuracy. And with built-in knowledge retention, new AI workers can onboard and upskill instantly.

build AI workers »

Using Humatron, companies can quickly create secure, trusted and autonomous AI workers - software-defined employees. We use the term "Build" to point a reusable AI worker template that defines core skills and behaviors shared across all individual AI workers of that type.
When an AI worker is hired, a new unique instance of the build is created, and further customized for the company, team, and specific job requirements. This new instance is then deployed on a dedicated VPS instance, giving every AI worker full control of its local OS environment. Note that both the build and the hired AI worker often require minimal or no code or engineering effort to be created and deployed.
This "One Build - Many Hires" architecture thus has two distinct layers:
  • Build: common and shared configuration and capabilities
  • Hire: company, team, and job-specific customization & isolated deployment
This architecture results in consistent, scalable AI workers that can be precisely tailored to each employer's needs. All workers are also powered by Humatron's proprietary Blackbox agent, which provides autonomy, core skills, and self-learning.
build

Convert to AI workers »

You can convert an existing AI agent or agentic system into an AI worker or create a new one that mirrors its functionality. For chat-based agents, the process is simple:
  • Create a new build.
  • Reuse or adapt prompts, tools, and MCPs.
  • Hire the worker - keeping all existing functionality while gaining worker-level benefits.
For web-based agents with UI/UX components or agentic systems, you'll need an MCP server to expose function-level access. Example: to turn an AI-native sales CRM agent into a BDR AI worker, add or develop an MCP server for that CRM. Then:
  • Create a new build.
  • Adapt role prompt, tools and MCPs.
  • Configure VPS instance to deploy hired AI worker.
  • Add MCP server to connect CRM functions.
This lets AI workers operate directly in your CRM. Agents and workers can also run side by side - agents boosting individual productivity, workers driving team-level efficiency.

Hire AI Workers »

Hiring creates a new AI worker instance from a build. Just select a build, fill out a short application, and your worker is instantly ready.
You'll get a welcome email from your new AI worker, and the automated onboarding ensures it integrates quickly into your team and starts contributing right away.
hire