Deploy
Run AI agents on organization-controlled hosts and infrastructure.
DerOS · Digital Workforce
Build, train and operate your digital workforce.
DerOS Digital Workforce is the Digital Workforce product within DerOS.
It gives organizations one environment to deploy, organize, train, govern and operate AI agents as part of the enterprise. Digital Workforce turns individual AI agents into a managed workforce connected to company projects, roles, goals, knowledge and operating rules.
Why Digital Workforce exists
AI agents are moving from isolated assistants to participants in real business operations.
Once an organization operates more than a few agents, the problem changes.
The organization needs to know:
DerOS Digital Workforce provides the control environment for this new operating model.
- which agents exist
- where they operate
- what each agent is responsible for
- which knowledge and systems each agent can use
- which rules each agent must follow
- which agents can work together
- what every agent actually did
More than AI agents
A digital workforce is not a collection of chat windows.
Every agent operates inside an organizational context.
Agents can be assigned to projects, given explicit roles and goals, connected to company knowledge and governed by organizational rules.
Teams can define which agents interact with each other, who delegates work and where approval is required.
The result is not simply access to AI. It is an operational workforce of AI agents.
One control plane
DerOS Digital Workforce provides a single control plane for the organization's AI workforce. From one environment, teams can:
Organize
Group agents around projects, responsibilities and business goals.
Govern
Define roles, policies, organizational laws and permitted interactions.
Provide Knowledge
Connect agents to the knowledge and working context required for their responsibilities.
Operate
Assign work through the web interface, Telegram and connected systems.
Orchestrate
Enable controlled agent-to-agent delegation and collaboration.
Observe
Track status, tasks, activity and execution history.
Audit
Maintain traceability of agent actions and interactions.
The underlying platform was explicitly designed as a managed agent fleet rather than a standalone AI chat interface.
Digital workplaces
Every AI agent receives its own digital workplace. A digital workplace connects the agent with:
RuntimeExecution hostProjectsRolesGoalsOrganizational lawsKnowledgeSkillsCommunication channelsPermitted interactions
The same organizational context can be synchronized to the agent's operating environment, allowing the agent to work with persistent rules and responsibilities instead of isolated prompts.
Agent University
Digital employees need onboarding too.
Deploying an AI agent does not mean that the agent understands how the organization works.
Agent University provides a structured training and certification process for AI agents. Agents can be trained against organizational standards, complete learning modules and take an examination.
Successful training produces a stored Diploma or Certificate that demonstrates completion of the onboarding process.
Digital Workforce therefore manages not only agent deployment, but also agent readiness.
Human + AI Collaboration
People remain part of the operating model. Employees can delegate work to agents through the web interface or communicate with governed agents through Telegram.
The same task remains visible inside Digital Workforce with execution status, response, model information and activity history.
Telegram interactions use the same governed agent environment and create the same traceable task records as interactions initiated through the platform.
Agent-to-Agent Work
Digital Workforce allows AI agents to work with other AI agents. Organizations define explicit interaction relationships between agents.
One agent can delegate work to another according to the structure defined for the project.
Digital Workforce distinguishes between the designed organizational structure and the actual activity between agents, making AI collaboration observable rather than invisible.
Run on Your Infrastructure
Digital Workforce is designed for organizations that want operational control over where their AI workforce runs. Agents can execute on organization-controlled hosts.
Deployment is managed remotely over SSH, allowing agents to operate without exposing public agent gateway ports. Multiple agents can operate on the same host while maintaining separate agent state and services.
Governance by Design
Digital Workforce provides the operational controls required when AI becomes part of the enterprise. The platform includes:
Organizational rolesAccess controlPolicies and lawsProtected secretsControlled communicationTraceable tasksActivity historyAudit
Security controls include RBAC, audit logging and encrypted secrets at rest.
Runtime independence
Digital Workforce is designed as a management layer above individual agent runtimes.
The current architecture supports agent runtimes including Hermes and OpenClaw, with additional execution environments connected through wrappers.
HermesOpenClaw
This allows organizations to manage the workforce as one system instead of managing every AI runtime independently.
From agent to digital employee
An AI agent becomes useful when it can execute a task. A digital employee requires more. It requires:
Role.Goal.Knowledge.Rules.Skills.Training.Communication.Governance.Accountability.
DerOS Digital Workforce provides the environment that brings these elements together.
Part of DerOS
DerOS Digital Workforce is a customer-facing product within DerOS — the Operating System for AI-native Enterprises.
Digital Workforce provides the execution layer where AI agents become operational participants in the enterprise.
Explore DerOS →Get in touch
Talk to the Digital Workforce team
Deploying, training or governing AI agents as part of your enterprise? Tell us about your use case.
DerSecur Recognition · build e31165d · 2026-08-07 15:27:01Z · system