// AI Implementation Protocol
AI Implementation.
From Idea to Production System.
Implementing AI doesn't mean "trying ChatGPT." It means: identifying the right use case, choosing the right architecture, integrating cleanly, and scaling. We guide the entire journey — from strategy to go-live.
// The Reality
87% of AI Projects
Fail. Ours Don't.
of AI projects never make it to production
weeks to a first working prototype with us
of companies lack a clear AI strategy
higher ROI with structured AI implementation
Technology Before Use Case
"We need AI" — without knowing what for. The most expensive tool is useless without a clear business case.
Data Quality Ignored
Garbage in, garbage out. Without clean data, any AI solution is destined to fail.
Started Too Big
Enterprise platform instead of quick win. Better one working agent than a 12-month project that never goes live.
Teams Not Involved
Technology without change management. AI only works when employees understand and use it — that's what our AI training is for.
// Use Cases
AI Use Cases
in Business.
Customer Service
AI agents for ticket automation, intelligent routing, 24/7 first-level support. Integration with Zendesk, Freshdesk, Intercom.
Marketing & Content
AI-powered content creation, AI SEO, campaign management, social media automation. More: Agentic Marketing.
Sales & CRM
Lead scoring, CRM automation, follow-up sequences, meeting scheduling. AI qualifies and prioritizes — your team closes deals.
Operations & Processes
Process automation via n8n: data capture, document processing, monitoring, reporting. All on your own servers.
Knowledge Management
Internal knowledge bases with RAG: manuals, policies, documentation made searchable. Employees find answers in seconds.
Finance & Controlling
Automated invoice processing, anomaly detection, forecasting, spend analysis. AI detects patterns that humans miss.
// Our Process
5 Steps to
Production AI.
AI Readiness Assessment
Where do you stand? Which processes can be automated? What data is available? We analyze your organization and identify the use cases with the highest ROI. Learn more about our AI consulting.
Use Case Prioritization & Roadmap
Not everything at once. We prioritize by impact × feasibility and create an AI strategy with quick wins (immediate) and long-term goals.
Proof of Concept
A working prototype in 2-4 weeks — with real data, real processes. You see immediately whether the solution works before investing in full implementation.
Production Implementation
From PoC to production system: API integration, security, monitoring, logging. Deployment on your infrastructure (EU servers, Docker). GDPR and EU AI Act compliant.
Training, Scaling & Optimization
Team training, monitoring, continuous optimization. Connect new use cases, involve more departments. The AI grows with your business.
// Readiness Check
Is Your Company
Ready for AI?
Good Prerequisites
Not a Blocker — We Help
// FAQ
Frequently Asked
Questions About AI Implementation.
What does AI implementation mean?
AI implementation is the process of integrating artificial intelligence into existing business processes and IT systems — from use case identification through data preparation and model selection to system integration, testing, and deployment.
How do you introduce AI in a company?
In five steps: AI Readiness Assessment, use case prioritization, Proof of Concept with real data, production implementation, and scaling. We guide the entire process — from strategy to go-live.
What are typical AI use cases?
Customer service (chatbots, ticket automation), marketing (content, campaigns), sales (lead scoring, CRM), operations (process automation), HR (recruiting), finance (invoices, forecasting), and knowledge management (RAG databases).
How long does an AI implementation take?
Proof of Concept: 2-4 weeks. Single AI solution: 6-12 weeks. Company-wide transformation: 3-12 months. First results often visible after 1-2 weeks.
What does an AI implementation cost?
PoC from EUR 5,000, single solution EUR 15,000-40,000, enterprise from EUR 50,000. Ongoing costs (tokens, hosting, maintenance) typically EUR 500-2,000/month.
What mistakes should you avoid when implementing AI?
Putting technology before use case, ignoring data quality, starting too big, not involving teams, ignoring GDPR/EU AI Act. Our AI consulting helps avoid these mistakes.
// Get Started
Ready for
AI in Practice?
30-minute Discovery Call — free of charge. We identify your best use case and sketch the fastest path to production-ready AI.
Book Discovery Call