LAYER 1 · APPLICATION LAYER
Applications and interfaces
React · Next.js · TypeScript · Dashboards · B2B portals
User interfaces, operational applications and process management panels.
ALTERKOM / INTELLIGENT AUTOMATION
From automation to autonomy.
Intelligent automation. AI agents. Systems that can act. We build solutions that go beyond traditional automation. We combine AI agents, language models, n8n, Hermes Agent and our own routing mechanisms into systems that analyse information, coordinate tasks and automate business processes and IT operations. We build applications and integrations that let artificial intelligence work with existing enterprise infrastructure.
Automation that can do more than follow instructions
Traditional automation relies on rules and predefined action sequences. At Alterkom we extend that approach with artificial intelligence that can interpret information, analyse context and select the right tools for a task. We design and develop systems that connect workflow platforms, AI agents, local and cloud language models, and existing enterprise environments. We build our own applications and integration layers with React, Next.js, TypeScript, Python, REST APIs and Docker — so solutions fit concrete processes instead of being limited by a single platform. We focus on business-process automation, infrastructure monitoring, document analysis, agent orchestration and integration of diverse IT systems.
Capabilities
Eight directions where we combine automation, AI agents and software engineering.
AI agents and multi-agent systems
We design AI agents that perform defined tasks using language models, tools and controlled permissions. Agents can analyse data, retrieve information, call APIs and collaborate. Depending on the process they execute allowed operations or escalate decisions for user approval.
Agent and model routing
We develop mechanisms that route requests to the right models, agents and AI services. Agent Router supports model-selection rules, adapter authentication, access management and controlled task flow across tools.
n8n process automation
We use n8n to design workflows that connect applications, databases, business systems and AI services. We build processes with schedules, webhooks, APIs and events, including workflows that collaborate with AI agents.
Hermes Agent – intelligent task execution
We use and extend the Hermes Agent environment for complex tasks based on AI models, tools and specialised agent skills. We integrate agents with our applications and with information retrieval and processing mechanisms.
AI-assisted infrastructure monitoring
We combine monitoring data from servers, virtualisation, networks and applications with AI analysis. We develop scenarios where an agent reviews alerts and logs, identifies possible root causes and proposes actions to administrators. Critical operations require appropriate authorisation.
Custom applications and portals
We design web applications for processes, agents, information and IT infrastructure. We use React, Next.js, TypeScript, Python, PostgreSQL and Docker. We deliver admin interfaces, dashboards, API backends and integration layers.
Intelligent document processing
We combine OCR, AI models and process automation. Solutions can analyse technical documentation, offers and contracts, extract information and pass results to the next workflow stages.
System integrations and APIs
We connect enterprise systems via REST APIs, webhooks, dedicated adapters and backend services. We build solutions that run on-premises, in Docker containers and in hybrid environments.
Alterkom intelligent automation architecture
Four layers forming a logical stack — not a rigid execution order. Agent Router can steer workflows, and n8n can invoke an agent.
LAYER 2 · AUTOMATION LAYER
Orchestration and automation
n8n · Hermes Agent · Workflows · Webhooks · Task Scheduling
Workflows, integrations, schedules and task execution.
LAYER 3 · INTELLIGENCE LAYER
Intelligence and routing
Agent Router · AI Agents · Local LLM · RAG · Model Routing
Selecting agents and models, analysing information, processing context and making controlled decisions.
LAYER 4 · INFRASTRUCTURE LAYER
Integrations and infrastructure
Python · REST API · PostgreSQL · Docker · GPU / Servers · Monitoring Systems
Backend services, data, compute infrastructure and enterprise system integrations.
One architecture. Many technologies. A shared process.
We connect applications, workflows, intelligence and infrastructure into systems that can analyse data and execute tasks in a controlled way.
How does intelligent automation work?
From a user prompt, through selecting the right agent, to data analysis and task execution.
Example: an administrator requests analysis of a server performance issue
The diagram shows a reference architecture and a target integration scenario — it does not claim the full process is already production-ready in every deployment.
- 1
STEP 1
User / React
An administrator uses a portal built with React / Next.js. Example prompt: “Check why the application server is slower than usual and prepare a diagnosis.”
- 2
STEP 2
Agent Router
Agent Router receives the task, verifies permissions and routes it to the appropriate agent or model.
- 3
STEP 3
Hermes Agent
Hermes Agent coordinates the analysis, selects available tools and requests diagnostic data.
- 4
STEP 4
n8n / integrations
n8n or API services run defined actions: fetching metrics, logs, alerts, CPU/RAM load and system events.
- 5
STEP 5
AI model
A language model analyses the collected data and prepares a summary, possible causes, alert assessment and recommended next steps. Model conclusions are hypotheses that require verification — not a guaranteed diagnosis.
- 6
STEP 6
Control and authorisation
The system presents a recommendation to the administrator. Configuration-changing or service-impacting operations require approval and appropriate permissions.
- 7
STEP 7
Result
The administrator receives a diagnostic report, data sources, recommended actions and a history of performed steps.
An agent may query monitoring repeatedly or trigger further steps. Critical operations require authorisation.
From automating a single task to an intelligent process.
Selected enterprise use-case scenarios.
Intelligent server monitoring
AI agents analyse metrics, logs and alerts to support diagnosis and prepare recommendations for administrators.
Automated tender analysis
Scheduled discovery of notices, document analysis, identification of relevant proceedings and presentation in Alterkom Market.
AI agent orchestration
Routing tasks across models, agents and tools with permissions and execution rules.
Document workflow automation
Reading documents with OCR and AI, extracting information, classifying content and passing data to downstream systems.
Infrastructure operations
Collecting diagnostic information, running allowed administrative tasks, analysing environment state and preparing reports.
Reporting and notifications
Aggregating information from multiple sources, generating reports automatically and triggering event-based notifications.
Technologies
Key technologies used in projects. We do not claim formal vendor partnerships without confirmation.
n8n
Process automation, workflows, API integrations and events.
Hermes Agent
An agent environment for executing tasks with AI models and tools.
Agent Router
Model and agent routing, access control and task-direction rules.
Python
Backend services, integrations, automation tooling and data processing.
React / Next.js
Portals, dashboards and user interfaces.
Docker
Containerisation and deployment of application components.
PostgreSQL
Storage for application data, configuration and operational information.
LLM / RAG
Natural-language analysis and use of enterprise knowledge sources.
Technology that does more than answer. It helps you act.
Key outcomes for the organisation.
Fewer repetitive tasks
Automation reduces manual process handling so teams can focus on knowledge-intensive work.
Faster information analysis
AI agents can support analysis of data from many systems and prepare recommendations.
Process control
Workflows, permissions and operation history make task execution easier to control.
Flexible architecture
Combining different models, agents and technologies lets solutions evolve without lock-in to a single tool.
Integration with existing systems
Existing applications do not always need replacement — new components can communicate via APIs.
Local and hybrid AI
Models can run on your own servers or use external services, depending on requirements.
Related Alterkom products
Own products related to automation and IT operations.
FAQ
How does an AI agent differ from classic automation?
Classic automation runs a fixed sequence of actions. An AI agent can analyse context, select tools and propose next steps within defined permissions.
Can n8n connect to a local AI model?
Yes. n8n can talk to a local model through a properly exposed API or an intermediary service.
What is Agent Router for?
Agent Router directs tasks to the right AI models, agents or tools based on rules, permissions and task requirements.
Can AI analyse logs and server monitoring?
Yes. AI models can help correlate events, analyse collected information and prepare diagnostic hypotheses. Results should be verified.
Can an AI agent perform an operation on a server by itself?
It can run operations exposed by the right tools and permissions. Potentially risky actions should be covered by approval policies, access limits and auditing.
Do we need to move infrastructure to the cloud?
No. Automation systems and AI agents can run on-premises, in Docker containers and on your own servers. Hybrid deployments are also possible.
Your infrastructure can do more. Let it act more intelligently.
We combine automation, AI agents and existing systems into solutions tailored to enterprise needs — from a single workflow to complex multi-agent environments.