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Service IT / AI infrastructure operations

AI agent-based IT infrastructure management systems as a service

We design and operate controlled AI-agent systems for servers, websites, Odoo, CRM, Docker, backups, logs, monitoring and routine infrastructure support. The goal is not a loose chatbot, but a managed operational layer with approvals, audit trails and clear business responsibility.

Discuss AI infrastructure management

Service IT already combines Odoo, assistant-platform workflows, server monitoring, Docker/Kubernetes support, CRM automation and operational reporting. This service packages those capabilities into a managed AI operations system.

DISCOVERY

Infrastructure audit

We map servers, websites, services, domains, backups, Odoo modules, CRM flows, monitoring gaps and owner responsibilities before automation starts.

AGENTS

Role-based AI agents

We create agents for monitoring, diagnostics, ticket preparation, report drafting, routine checks, knowledge-base updates and safe operator assistance.

CONTROL

Human approval workflow

High-risk actions such as deployments, migrations, credential changes, deletes and production fixes require explicit owner confirmation.

INTEGRATION

Odoo and business context

Incidents, service requests, reports and follow-ups can be connected with Odoo CRM, projects, tasks, Discuss channels and customer records.

OBSERVABILITY

Monitoring and reports

Agents collect signals from logs, HTTP checks, server resources, Docker, databases and business systems, then turn them into prioritized actions.

SERVICE

Ongoing operation

We maintain prompts, runbooks, access rules, dashboards, escalation paths, reports and improvements as a monthly service.

What we build

A practical control system for IT operations.

  • Agent platform for monitoring, diagnostics, reports and routine support.
  • Connectors for servers, websites, Odoo, CRM, mail, Docker, databases and external APIs.
  • Knowledge base with runbooks, inventory, service ownership and incident history.
  • Approval rules for risky actions and audit logs for every non-trivial operation.
  • Dashboards and regular reports for business owners and technical operators.

When it helps

For companies where infrastructure work is repeated, scattered or invisible.

  • Servers and websites need regular checks, but nobody owns daily monitoring.
  • Odoo, CRM, integrations and infrastructure incidents are handled manually.
  • Logs, backups, domains, SSL, Docker containers and uptime are checked only after a problem.
  • Managers need concise status reports, risks and next actions instead of raw technical noise.
  • The company wants AI automation, but needs control, audit and clear responsibility.

Delivery model

Start small, then extend the agent perimeter.

  • Initial audit and inventory of systems, access model and operational risks.
  • Pilot agents for monitoring, reports and low-risk support workflows.
  • Odoo/task/channel integration for requests, approvals and incident history.
  • Runbook expansion, escalation rules and monthly improvement cycle.
Discuss AI infrastructure management
AuditAgent designOdoo integrationManaged operation