AI agents, n8n workflows, knowledge systems and applications that connect your data with language models and the tools your team already uses. From process discovery to production — with a human wherever decisions are made.
What we build
Every project starts with the process, not the technology. For each service: the problem we solve, how we solve it, and what your business gains.
n8n ties your data, AI models and business systems into one flow. An event starts the workflow, an AI agent works through the content, and the result lands where it is needed: in the CRM, an inbox, a calendar or a report.
Emails, forms, documents and messages start the automation.
The agent reads, classifies, summarises and proposes a decision based on your rules.
Results go to your CRM, calendar, knowledge base or team chat.
Every enquiry that lands in a shared inbox is read, structured and logged in the CRM before anyone has a chance to miss it.
New email
A message arrives in a shared inbox such as office@ or sales@.
Collect the data
n8n reads the body, sender and attachments and checks the contact history.
Understand the request
The AI agent identifies the intent and extracts company, person, need and deadline.
New or known contact?
Existing customers go to their account manager; new contacts go to sales.
CRM record
The contact and deal are saved in the CRM and the owner gets a follow-up task.
A form enquiry gets a relevant answer based on your offer, while unusual requests wait for a person.
Form submitted
A visitor sends the form on your website and the data reaches n8n via Webhook.
Validation
n8n checks completeness and consent, and filters out duplicates and spam.
Draft reply
The AI agent drafts a reply from your offer, price list and FAQ.
Routine or exception?
Routine questions can be answered right away. Anything unusual waits for approval.
Reply sent
The customer receives an email and the conversation is kept in the contact history.
Manuals, contracts and procedures become knowledge the AI agent can use, always pointing to the source.
New document
A PDF appears in a folder, inbox or document system.
Text extraction
n8n extracts the text and splits it into chunks ready for indexing.
AI analysis
The model writes a summary, adds metadata and generates embeddings.
Is the text readable?
Complete text is indexed; a poor scan is flagged for manual review.
Knowledge base
Chunks are stored in a vector database such as Qdrant, ready for the assistant.
A text or voice message turns into a task, a calendar entry or an email draft.
Telegram message
You type a request or record a voice message.
Detect the type
n8n recognises the message type and transcribes voice notes to text.
AI assistant
The agent understands the request and picks the right tool: calendar, email or contacts.
Confirmation needed?
Anything that leaves the company, such as sending an email, waits for your approval.
Task done
A calendar entry, task or email is created and the assistant confirms it in the chat.
Each lead is scored against your criteria, and sales is alerted only about the ones worth calling right away.
New lead
A lead comes in from a form, a campaign or directly from the CRM.
Enrich the record
n8n adds the contact history and available company information.
AI assessment
The agent rates the fit against your criteria and briefly explains why.
Hot, warm or cold?
The priority decides who handles the lead and how fast.
Notification
The salesperson gets a summary; other leads move into a nurture sequence.
Data from several systems is collected, summarised and delivered as a clear report, with no manual copy-pasting.
Business event
A schedule such as end of day, or an event such as a closed order.
Gather data
n8n pulls data from the CRM, sales system and spreadsheets.
AI summary
The agent summarises the results and highlights anything unusual.
Anything off?
A value outside the agreed threshold triggers an extra alert.
Report
The report goes to email or the team chat and is archived.
Six stages. Each one ends with a concrete deliverable that you sign off before we move on.
We map the process, the people and the tools, and identify where AI pays off — and where it does not.
We design the data flow, model choice, integrations, permissions and human checkpoints.
We build agents, workflows and interfaces iteratively, using samples of your real data.
We connect the system to the CRM, email, documents and applications you already use.
We test answer quality, edge cases, security and error handling against realistic scenarios.
We go live, train your team, monitor the system and keep improving it based on real usage.
Typical scenarios we design for businesses. These are example architectures, not descriptions of specific client projects.
Example architecture
Trigger: A customer emails a request for a quote
Example architecture
Trigger: A question in team chat or Telegram
Example architecture
Trigger: An invoice or form arrives in the inbox
Example architecture
Trigger: Schedule: end of the week
Every system has clear boundaries, permissions and a defined point where a person makes the decision.
Decisions with business impact are approved by a person. AI prepares the material and proposals.
The system works within the permissions it is given and never reaches for data it should not see.
We process only the data a project needs, in line with GDPR. Where required, models run locally.
System actions are logged: what the AI prepared and what a person approved. Every step can be reviewed and switched off.
We choose tools for the job, not the job for the tools. When your data requires it, we run models locally.
Names listed are trademarks of their respective owners. They are used only to describe technology and imply no partnership.
Prompt Engineering StudioIn development
The Studio is a module we are still developing: it helps you build, analyse and structure prompts and AI agent configurations. The development version already runs in your browser — further features are added step by step.
Already working in the development version
In development
Straight answers to the questions we hear most. If something is missing, just ask us.
That is not the goal. We automate repetitive steps so people can focus on work that needs judgement: conversations, negotiations and decisions. Every system we deliver has a clear hand-off point to a person.
It depends on the process. A single automation usually goes live within a few weeks; a larger system with a knowledge base and integrations takes a few months. After discovery you get a concrete timeline.
We process only the data a project needs, under agreed rules and in line with GDPR. We control access, and where regulation or the nature of the data requires it, we propose a deployment with locally hosted models.
The ones you already use: CRM, Google Workspace, Microsoft 365, online stores and internal systems with an API. We fit AI into your environment, not the other way round.
Knowledge of the process, access to the tools where it happens, and a decision-maker who can confirm the rules. We organise the rest together with your team.
Prompt tools improve individual requests to a model. We build systems that work inside your processes: automations, agents, integrations and knowledge bases. Prompt Engineering Studio is a supporting tool, not the core of what we do.
Tell us what you want to improve — a process, a system or a data problem. We'll give you a straight answer: whether and how AI can help, and what a sensible first step would be.
We read your request
Your message goes straight to our inbox, not into an automated sales funnel.
We reply personally
By e-mail — with clarifying questions or a suggestion for a short call.
We propose a first step
If we see a sensible use case, we outline the scope of a first phase. If we don't, we tell you so.
We aim to answer every specific enquiry as quickly as we can on business days.
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