Support and communication
Classification, prioritization, summaries, response drafts, data extraction and routing to the right people or systems.
AI Process Automation
_AI automation that works in real processes, not only in demos
We design custom solutions based on LLMs, AI agents, RAG, classic automation and n8n. We combine ready models with your data, systems, rules and quality control to automate operational work without losing supervision.
LLMs, RAG and AI agents
n8n, APIs and workflows
Guardrails, audit and human review
What we automate
Processes where AI must understand context and take safe action
The highest value of AI does not appear in context-free chatbots. It appears where the model has the right data, can trigger the right action and operates inside well-designed boundaries.
Documents and knowledge
RAG, semantic search, analysis of contracts, procedures, notes, reports and internal knowledge bases.
Operations and backoffice
Automatic data completion, validation, task generation, and updates to CRM, ERP, helpdesk or operational sheets.
AI-assisted decisions
Scoring, recommendations, anomaly detection, triage, alerts and scenarios where humans approve high-risk actions.
AI architecture
We adapt AI to the process, not the process to a trending model
Sometimes the best solution is a ready model with a strong prompt and integration. Sometimes it is RAG, fine-tuning, an agent, a classic workflow or a combination of layers. We design for cost, quality, privacy and control.
Ready and custom models
OpenAI, Gemini, Vertex AI, open-source models, fine-tuning, model routing and prompt engineering layers adapted to the domain.
RAG and knowledge layer
Document indexing, vector search, permissions, citations, knowledge updates and mechanisms that reduce hallucinations.
Agents and actions
Tools, functions, API actions, step planning, process memory, retries, escalations and control over when an agent can act.
Workflows and integrations
n8n where speed matters. Code where control is required
We build automation in n8n, Make or a custom backend. The fit matters most: a simple workflow should be fast to change, while a critical process needs tests, observability, idempotency and versioning.
OpenAI
Gemini
Vertex AI
n8n
Webhook
CRM
ERP
Helpdesk
Vector DB
Control and security
AI in processes must be measurable, auditable and stoppable
Automation without control quickly becomes risk. That is why we design boundaries, decision logging, fallbacks, human review and a clear split of responsibility between AI, systems and the team.
Japonics
Have a process that consumes too much team time?
We will map it, assess where AI makes sense, where classic automation is enough and how to build a solution with controlled return on investment.