AI automation
AI audit & strategy
Find where AI will pay off — in 5 business days
We map your processes, spot the tasks worth automating, estimate ROI and assemble an implementation roadmap.
Starting with an audit is the safest path. We interview your team, review data and tools, assess risks and compliance (GDPR, trade secrets) and deliver a prioritised list of automations.
The audit fee is credited against implementation.
What’s included
- Team interviews and process map
- Automation opportunities ranked by ROI
- Model and tooling choice, data requirements
- 3–6 month roadmap
- Working prototype of one scenario
What you get
- 01Audit report
- 02ROI model
- 03Roadmap
- 04Prototype
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.
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Let’s discuss your project
Tell us about the task — we reply within one business day with first automation ideas.