Everything you need to know before getting started.
AI automation uses artificial intelligence to streamline repetitive tasks and business processes. It can save significant time on manual work, reduce errors, improve productivity, and free your team to focus on strategic activities. Automated workflows can handle data processing, customer communications, report generation, and system integrations.
Cost depends on scope — a single automation workflow is a different project than a custom machine learning model, a RAG application, or a full website build. Every plan starts with a free 30-minute consultation to scope your project and give you a clear estimate before any commitment.
Typical automation projects launch in 1–3 weeks: 1–2 days for discovery and consultation, 2–3 days for strategy and planning, 1–3 weeks for development and integration, and 3–5 days for testing and refinement — followed by launch and ongoing support. See the full process for details.
Most SMBs see a return on investment within 1–3 months. By reducing time spent on manual tasks, a small team can reclaim significant hours per week — which, at typical labor costs, often outweighs the one-time implementation cost within a few months.
Almost any repetitive, rule-based process: lead follow-up and CRM updates, invoice processing and financial reporting, customer support (AI handling common questions), social media scheduling, data entry and cross-platform syncing, employee onboarding workflows, and inventory or order management.
Yes. Automation systems are designed with GDPR compliance from the ground up. For businesses with sensitive data, automation and AI models can run entirely on private or client-owned infrastructure — no data leaves your servers. For cloud-based automations, GDPR-compliant platforms with proper data processing agreements are used.
SEO (Search Engine Optimization) focuses on ranking in traditional search engines like Google. GEO (Generative Engine Optimization) optimizes content for AI-powered search tools like ChatGPT, Perplexity, and Gemini — so your business appears in both traditional search results and AI-generated answers.
Local AI keeps sensitive data completely private on your own infrastructure: no cloud dependency or subscription costs, custom models trained on your specific data, full control over your data, and easier compliance with strict data regulations like GDPR.
A full-time developer costs tens of thousands of euros per year and takes months to onboard. Off-the-shelf SaaS tools are rigid and carry ongoing per-seat or per-workflow fees. Custom automation is built exactly for your workflows, at a fraction of the ongoing cost, and you own the system outright.
Yes — technical support, updates and improvements, system monitoring, and help adapting the solution as your business grows.