Real AI implementation
Examples of how AI is changing the way companies work — concrete numbers and results from real deployments.
Calculate your savings potential
Enter your team's parameters to see how much time and money AI could save you by automating routine tasks.
Estimated AI benefit
Monthly cost savings
126,000 Kč
Yearly savings potential
1,512,000 Kč
* This calculation is indicative and based on average data from our implementations. Actual impact depends on the specific workflow.
Logistics company (50+ employees)
Customer Support Automation
Problem:
The team spent 4 hours a day triaging emails and answering shipment status questions.
Solution:
Deployment of an AI agent connected to the internal ERP system for automatic replies and prioritization.
75%
Time saved
3x
Productivity
40%
Cost reduction
Manual work
Remaining oversight
"3.5 hours saved per day per support agent."
B2B electronics reseller
AI Sales Agent for E-commerce
Problem:
Website inquiries were handled with a 2-4 hour delay, leading to low conversion on hot leads.
Solution:
Deployment of an AI agent that instantly analyzes the inquiry and sends a relevant offer or schedules a meeting.
95%
Time saved
45% conv.
Productivity
60%
Cost reduction
Lead response speed
+45%
Conversion
24/7
Availability
Law and consulting firm
AI Knowledge Base Assistant
Problem:
Junior staff lost dozens of hours a month looking up information in 10+ years of document archives.
Solution:
Semantic search over the archive (RAG) that provides answers with citations to specific documents.
90%
Time saved
2x
Productivity
25%
Cost reduction
Information lookup speed
98%
Answer accuracy
-80h
Monthly / team
Growing tech startup
AI Candidate Screening
Problem:
Every position received hundreds of resumes, and manual screening took the HR team days.
Solution:
An AI system that automatically scores resumes against the position's requirements and surfaces the top talent.
98%
Time saved
5x
Productivity
70%
Cost reduction
Screening 100 resumes
Recruiter
AI Scorer
"AI pre-selects the TOP 5 candidates based on your specifications immediately after application."
Cyber Forza — a real security audit
Two real findings from authorized testing
Unlike the illustrative examples above, these are real (anonymized) findings from authorized testing on our own infrastructure. We use the same methodology — reconnaissance, enumeration, vulnerability verification, and a severity-based report — on client networks.
A device that talks without logging in
A common network device disclosed its model, firmware version, and a complete map of internal functions without any login — exactly what an attacker needs to hunt for vulnerabilities. Sensitive controls were protected, so this was a real but bounded risk.
A forgotten device as an open door
An "unimportant" device was running ten-year-old software with a publicly known exploit and was reachable via a default password the owner believed had long since been changed. The easiest way into the network wasn't through the servers — it was through what nobody was watching.
Where in your business would AI investment pay off the fastest?
Start with a short AI Opportunity Sprint. Together we'll identify the processes that make the most sense to automate first.