AI-Ops Assistants & Internal Automation Systems
AI-Ops assistants for infrastructure, workflows, and internal processes
Intelligent assistant systems that understand your infrastructure, automate operational tasks, and accelerate decision-making — integrated with CI/CD, Kubernetes, monitoring, logs, and internal platforms.
We develop AI-Ops assistants that don't work like traditional "chatbots" but are deeply connected to your systems: They know your deployments, logs, engineering rules, document templates, data models, and business logic — and act on that basis reliably and reproducibly.
What Our AI-Ops Assistant Can Do
- Infrastructure & DevOps automation: execute deployments, analyze logs and metrics, proactively report anomalies and errors, check configurations and environments, summarize Kubernetes states
- Workflow & document automation: create technical documents and reports, summarize complex data, automatically generate quotes and PDFs, handle routing and approvals
- Decision support & internal intelligence: analyze data, understand rules, suggest actions for deployments, failures, configurations, and KPIs
Automation eliminates these risks completely.
What the Solution Includes
Infrastructure & DevOps Automation
Your internal assistant can:
- Execute deployments (GitHub Actions, GitLab, ArgoCD)
- Analyze logs and metrics (Prometheus, Grafana, Loki, ELK)
- Proactively report anomalies, bottlenecks, and errors
- Check configurations, secrets, and environments
- Summarize Kubernetes states (Pods, Nodes, Cluster Health)
- Works like a "Second Brain" for DevOps and engineering teams
Workflow & Document Automation
The assistant accelerates internal processes:
- Creation of technical documents, reports, and specifications
- Summarization of complex data (Engineering, Production, ERP, CRM)
- Automatic generation of quotes, CPQ outputs, and PDF documents
- Routing, approvals, version control, and compliance checks
Decision Support & Internal Intelligence
The assistant analyzes data, understands rules, and suggests actions:
- "What is the risk with this deployment?"
- "Which jobs failed and why?"
- "What parameters should apply for this technical configuration?"
- "Which requests require immediate processing?"
- "Which KPIs are in the red zone and what is the cause?"
- Supports teams in Engineering, Operations, Finance, Production, and Management
Deep Integration with Your Existing Platform
Our AI-Ops assistants connect directly with:
- Git, CI/CD, Kubernetes, Monitoring
- ERP, CRM, document systems
- Internal tools, databases, and engineering rules
- On-premise and cloud environments (AWS/GCP/Azure/Hetzner)
- Creates a central, intelligent layer over your entire infrastructure
How It Works
- 1Infrastructure Analysis — We analyze your systems, workflows, and operational processes.
- 2AI Assistant Design — We design the assistant architecture, integration points, and decision logic.
- 3Deep Integration — We connect the assistant to your CI/CD, Kubernetes, monitoring, ERP, CRM, and internal tools.
- 4Training & Configuration — We configure the assistant to understand your rules, data models, and business logic.
- 5Rollout & Enablement — Training, documentation, and adoption support for your teams.
AI-Ops assistants create a centralized, intelligent layer that accelerates operations and reduces manual work.
Why Companies Choose AI-Ops
Ideal For
Engineering & DevOps Teams
Automated infrastructure operations, deployment assistance, and proactive monitoring.
Production & Manufacturing Companies
Workflow automation, document generation, and decision support for production processes.
Back-Office & Operations
Sales automation, order processing, and internal workflow optimization.
What You Get
Ready for an Intelligent Internal Assistant?
We analyze your infrastructure and show which tasks can be automated in the first month.