VIRTUAL WORKERS · AUTONOMOUS AGENTS · 24/7

AI workers for companies

We design and build virtual workers: autonomous AI agents that execute complete processes over your CRM, ERP and internal tools, around the clock.

We build on
VALUE PROPOSITION

Virtual workers for companies that understand, manage, and scale

Virtual workers with scoped roles, knowledge of your business and real access to your systems. Every action reasoned over your documentation and logged end to end.

Virtual worker

ROLE · TOOLS · EXECUTION

Agents with a defined role, assigned tools and access to your systems. They qualify leads, process invoices, handle tickets or move orders over the workflows you define.

Autonomous agents 24/7

ALWAYS ON · QUEUES · AUTO-RECOVERY

They operate around the clock, handle queues and absorb spikes without growing the team. Reversible decisions run automatically; critical ones escalate to a human with full context.

RAG and knowledge systems

DOCUMENTS · POLICIES · CITATIONS

The agent reasons over your knowledge base: internal policies, manuals, contracts and business data. Answers and actions grounded in your documentation, with verifiable citations.

Intelligent Process Automation

IPA · MULTI-STEP · INTEGRATIONS

Multi-step flows that classify, decide and execute end to end. Email → CRM → ticket → notification, integrated with your real stack and measured in time, cost and outcome.

METHODOLOGY

We design and deploy agents that work in production

Scoped roles, assigned tools and traceability from the first commit. From the use case to an agent operating inside your systems.

01
01 / 03

Agent design

  • Use case and operational metrics
  • Role, tools and escalation thresholds
  • Reversible-decision policy
  • Evaluation with real cases
02
02 / 03

Integration

  • MCP servers and connectors to CRM, ERP and ticketing
  • RAG over your documents and data
  • Orchestration with LangGraph, CrewAI or Temporal
  • Models via API or deployed privately
03
03 / 03

Operation

  • End-to-end traceability of every action
  • Observability, cost and latency measured
  • Guardrails, evals and automated rollback
  • Human oversight at the critical points
SUCCESS STORIES

Companies that trust our team

Companies that trust us.

Logistics

24/7 lead qualification

Agent connected to CRM and web forms that qualifies leads, opens opportunities, and books demos with the right sales rep. Cuts response time to minutes.

Industry

Multimodal internal support

Agent that answers technical questions across manuals, drawings, and SOPs. Escalates to a human when the case requires it, with the full context attached.

Services

Document processing

Workers that process invoices, contracts, and forms. Validate, extract data, and push it into the ERP with full audit trail on every decision.

FAQ

Frequently Asked Questions about AI Workers

Answers to common questions about integration, operation, and production rollout.

  • Is a virtual worker the same as a chatbot?
    A virtual worker executes processes over your systems: it opens tickets, updates the CRM, moves orders in the ERP and closes the loop in the real system. The chatbot talks; the worker works.
  • What happens if the agent fails or hits a critical decision?
    Every action is logged with prompt, context and result. Reversible decisions run automatically; critical ones require human approval (human in the loop). One-click rollback.
  • Does it integrate with our current CRM, ERP and ticketing?
    Yes. MCP servers and custom connectors for Salesforce, HubSpot, SAP, Jira, Zendesk or your internal APIs. No need to rewrite your stack.
  • What about NDA and IP?
    NDA before the first technical meeting. All IP of the agent, prompts and integration belongs to the client.
  • What does it cost and how long until production?
    We close scope in a 60-minute technical session. First agent in production in 4 to 8 weeks, depending on connectors and integrations. Fixed cost per sprint.
TECHNOLOGIES

Technology stack

Frontier models, mature agent frameworks and standard connectors so the agent ships to production without rewriting your stack.

Models and agents
ClaudeGPTLlama
Orchestration
LangGraphCrewAIN8N
System connection
MCPRESTWebhooksGraphQL
Business integrations
SalesforceHubSpotSAPJira

Tell us about your project

We analyze how your project works today and identify where you can gain real efficiency with AI and software.