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n8n automation

AI automation that connects your systems

We design and build n8n workflows in which AI agents read, analyse and make simple decisions, and your systems receive a finished result. No retyping data, no loss of control.

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How an n8n automation works

n8n is a platform for building workflows. We add the AI layer and fit the whole setup to your processes and tools.

  1. Trigger

    The workflow starts when something happens: an email arrives, someone submits a form, a document appears or a scheduled time comes round.

  2. AI steps

    The AI agent handles content that simple rules cannot: it classifies, summarises, extracts data and proposes a decision.

  3. Action

    The result goes into your tools: CRM, calendar, email, knowledge base or team chat. Every step is logged.

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Six typical scenarios

Pick a scenario to see how data moves from the trigger to a business action. These are examples: every workflow is designed around a specific process.

Inbound email goes straight into your CRM

Every enquiry that lands in a shared inbox is read, structured and logged in the CRM before anyone has a chance to miss it.

  1. Step 1 of 5: Trigger

    New email

    A message arrives in a shared inbox such as office@ or sales@.

  2. Step 2 of 5: n8n

    Collect the data

    n8n reads the body, sender and attachments and checks the contact history.

  3. Step 3 of 5: AI agent

    Understand the request

    The AI agent identifies the intent and extracts company, person, need and deadline.

  4. Step 4 of 5: Decision

    New or known contact?

    Existing customers go to their account manager; new contacts go to sales.

  5. Step 5 of 5: Action

    CRM record

    The contact and deal are saved in the CRM and the owner gets a follow-up task.

What it means for your business

Automation pays off when it takes repetitive work off your team without taking control away from it.

  • Less manual work

    Retyping data, sorting messages and compiling summaries happen on their own.

  • Faster response

    Enquiries and leads are handled straight away, not when someone finds a spare moment.

  • Consistent decisions

    The same criteria every time, written down in the workflow.

  • Full transparency

    Every run leaves a trace, so you know what happened and why.

How we build automations

We start with one process and add the next once the first one runs reliably.

  1. Discovery

    We map the process step by step, trace where the data comes from and find where AI genuinely helps.

  2. Workflow design

    We design the flow, decision points, error handling and the places where a person approves.

  3. Integration

    We connect n8n to your systems, test on real cases and roll out in stages.

  4. Monitoring

    We watch runs, logs and model costs, and evolve the workflow as the process changes.

Example architecture · internal concept

Ultimate Assistant Prompt Inżynier

This is the architecture of an assistant we are developing as an internal concept: a single point of contact on Telegram, backed by specialised agents.

Telegram TriggerSwitchTranscribeTEXTPDF ExtractionAI AgentOpenAI Chat ModelQdrant Vector StoreEmail AgentCalendar AgentContact AgentContent Creator AgentTelegram Response
Telegram TriggerSwitchTranscribeTEXTPDF ExtractionAI AgentOpenAI Chat ModelQdrant Vector StoreEmail AgentCalendar AgentContact AgentContent Creator AgentTelegram Response
A simplified, illustrative diagram, not a description of a deployed product. We do not show configuration, credentials or system addresses.
  1. Input

    A text message, voice note or PDF sent on Telegram (Telegram Trigger).

  2. Routing

    A Switch routes the message by type: voice to transcription, PDF to text extraction.

  3. Understanding and knowledge

    The agent uses an OpenAI model and a Qdrant vector store holding company knowledge.

  4. Specialists

    The task goes to the right agent: Email Agent, Calendar Agent, Contact Agent or Content Creator Agent.

  5. Reply

    The result returns to Telegram (Telegram Response). External actions can require confirmation.

Security and control

Automations touch customer data and company systems, so we agree the rules before the first node is built.

  • Credentials stay in n8n

    API keys and passwords live in encrypted n8n credentials, never in the website code or the browser.

  • Human approval

    When a decision affects a customer or money, the workflow waits for a team member to approve it.

  • Data minimisation

    The AI model only receives what it needs to complete the task.

  • Changes only with approval

    We never modify or run production workflows without the process owner’s approval.

Where to start?

Pick one repetitive process. We will show you how it could work as an n8n workflow with AI and assess together whether automating it pays off.

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