AI automation
AI workflow automation
Hand the routine to AI and free your team for revenue work
We find repetitive operations and turn them into automated pipelines: documents, invoices, inbox triage, reports and proposals handled without manual work.
We connect your tools through APIs and orchestrators (n8n, Make, custom Node.js and Python workers) and plug in language models wherever meaning has to be understood.
Every pipeline is logged and has a human checkpoint, so automation stays transparent and safe.
What’s included
- Invoice, contract and receipt extraction (OCR + LLM)
- Inbox and request triage by intent
- Automatic reports and digests in Slack, Telegram or email
- On-brand proposals, emails and documents generated from templates
- ERP, CRM, spreadsheets and SaaS connected via API
What you get
- 01As-is / to-be process map
- 02Automations running in production
- 03Logging and monitoring
- 04Team playbooks
How we work
From idea to a working agent in 4 steps
- 15 days
Audit
We study your processes, find opportunities and estimate ROI.
- 21–2 weeks
Prototype
We build a working prototype on your data and show the results.
- 32–6 weeks
Rollout
We integrate with your CRM, ERP and messengers and train the team.
- 4monthly
Growth
We monitor quality, cut costs and add new scenarios.
FAQ
Questions about this service
How is an AI agent different from a regular chatbot?
A chatbot follows a rigid button script. An AI agent understands free-form language, relies on your knowledge base, can take actions such as creating a CRM deal, checking stock or booking a meeting, and hands the conversation to a human when needed.
How long does implementation take?
An audit takes 5 business days. A first AI agent goes live in 2–4 weeks. Broader workflow automation takes 4–8 weeks, custom ERP/CRM systems from 2 months. We ship in stages so you see value in the first month.
What makes up the price?
A one-off build fee (scenarios, integrations, knowledge base) plus a monthly care plan. Model usage is billed at cost — typically €30–400 per month. We show the estimate upfront and keep optimising it.
How do you protect company data?
We work under NDA, choose models that meet GDPR and your policies, anonymise personal data before it reaches a model, and can deploy open-source models in your own infrastructure so data never leaves it.
Which AI models do you use?
Whatever fits the job: GPT, Claude, Gemini and open-source models such as Llama, Qwen or Mistral. The architecture is vendor-neutral, so the model can be swapped without rebuilding the solution.
Contact
Let’s discuss your project
Tell us about the task — we reply within one business day with first automation ideas.