Technology explained simply
Why AI?
It's not buzz. It's not hype. It's technology that does the work you used to do manually 10 hours per week.
Let's be honest
AI isn't magic. It's a tool like any other.
Everyone talks about AI. 90% of what you hear is marketing bullshit.
AI won't solve problems you don't understand. It doesn't replace strategic thinking. It doesn't work by itself.
But if you know EXACTLY what you want to automate and how, AI does in 2 minutes what you used to do in 2 hours.
That's what we do: we identify the stupid tasks you do manually and automate them. Simple.
Where AI helps
3 areas where AI makes a real difference
Software Development
Not that AI writes perfect code. But it generates 70% of repetitive code (CRUD, API endpoints, forms) and you just verify and adjust.
Instead of searching 30 minutes for the error in a stack trace, AI tells you in 10 seconds where the problem is and how to fix it.
Writes comments, READMEs, technical documentation. The task you always avoid - AI does it in seconds.
Real example:
API integration that used to take 2 days: with AI code generation + debugging, you finish in 4-6 hours. Rest is testing.
Marketing & Content
AI analyzes 1000 rows of Meta Ads data and tells you exactly which ad set is performing poorly and why. In 30 seconds.
We test 10 ad copy variants, AI identifies what pattern works (tone, length, structure) and generates new variants based on that.
Instead of reading 50 competitor websites, AI extracts positioning, messages, differentiators - you just read the report.
Real example:
Client had 20 active campaigns, didn't know which brought customers. AI analyzed all conversations + sales data - 3 campaigns brought 80% of customers. Stopped the rest. Budget reduced by 60%, same results.
Sales Process
Someone fills out a form. AI asks 5 questions, eliminates the curious, sends only serious leads to your team. 24/7, no salaries.
Client writes on WhatsApp at 11 PM with a question. AI responds in 20 seconds. In the morning you just see the conversation + qualified lead in CRM.
AI sends automatic follow-ups after 3 days, 7 days, 2 weeks. With personalized messages based on the previous conversation. You only deal with those who respond.
Real example:
Dental clinic: 40% of calls were 'How much is an implant?'. AI responds instantly on WhatsApp, explains, sends photos, schedules only serious ones. Receptionist saves 15 hours per week.
Real limitations
What AI does NOT do (and why it's important to know)
Doesn't think strategically
AI executes what you tell it. It won't build your business strategy. It won't decide for you which campaign to run or which product to launch.
Doesn't understand deep emotional context
It can detect patterns and tone. But it doesn't understand subtle sarcasm, irony, or complex cultural nuances. For sensitive communication, you still need humans.
Doesn't work without good data
Garbage in, garbage out. If you give it poorly structured data or confusing instructions, the output is just as bad. AI amplifies the quality of your process, it doesn't fix it.
Doesn't replace human creativity
Generates variants, combines existing ideas. But breakthrough creative ideas? Those still come from humans.
Process clarity
You need to know EXACTLY what you want to automate. 'I want AI for marketing' is too vague. 'I want AI to pre-qualify leads with 5 specific questions' - perfect.
Structured data
Organized CRM, clear forms, saved conversations. With chaotic data, AI can't do anything useful.
Constant monitoring
AI is not set-and-forget. The first 2-3 months you test, adjust, refine. Then it runs by itself, but you still check monthly.
People who verify
AI does 90% of the work. You verify 10% critical moments: angry client, big lead, new situation. AI escalates when it's not sure - you make the decision.
Concrete
A day without vs with AI
Scenario: Lead pre-qualification
Time wasted: 30 minutes
For a lead who's 'still thinking'
Time invested: 0 minutes
You only see Hot leads in your inbox
Scenario: Client asks 'How much does it cost?'
Lost lead: 10 hour delay
Lead captured: 0 delay, pre-qualified
Simple math
How much AI costs vs how much you save
What it costs
Initial setup
2,000 - 5,000 EUR
One time. We build the system, integrate with CRM, train AI.
Monthly maintenance
300 - 800 EUR/month
Monitoring, optimization, adjustments. Optional but recommended first year.
Tools & API costs
50 - 200 EUR/month
OpenAI API, Make/Zapier, Respond.io - depends on volume.
Total year 1: ~10,000 EUR
(setup + 12 months maintenance + tools)
What you save
Sales team time
15-20 hours/week
Automatic pre-qualification = 80% of useless calls eliminated. 20 hours x 50 weeks x 50 EUR/hour = 50,000 EUR/year.
Lost leads
30-40% fewer
Instant 24/7 response = you catch leads that would otherwise go to competition. If you catch 5 extra clients x 5,000 EUR = 25,000 EUR.
Salaries avoided
2,000-3,000 EUR/month
You don't hire an extra receptionist or junior SDR. AI does 70% of their work.
Estimated ROI: 3-6 months
After 6 months, AI practically 'pays for itself'
*Numbers vary depending on industry and volume. But the math is correct: AI costs like a junior, works like 3 juniors, doesn't take vacation.
No bullshit
Questions you have
Will AI take my job?
No. But someone who uses AI will take your job if you don't learn to use it. AI is a tool, like Excel was 20 years ago. It doesn't eliminate people, it eliminates stupid tasks.
Is it safe to let AI talk to my clients?
If configured properly, yes. AI doesn't improvise - it says exactly what you train it to say. Plus, it can escalate to a human when it encounters something new. You test for 2-3 weeks, see how it goes, adjust.
Do I need to know programming to use AI?
No. We build the system for you. You just monitor and give feedback. It's like a CRM - you don't need to know SQL to use Pipedrive.
How long does it take to implement AI?
2-4 weeks for a simple system (pre-qualification or chat support). 6-8 weeks for something complex (multiple integrations, advanced flows). It's not instant, but it doesn't take 6 months either.
What happens if AI gives a wrong answer?
The first 2-3 months you monitor every conversation and refine. AI learns from mistakes. After 3 months, error rate is under 5%. And when it's not sure of the answer, it escalates - it doesn't take risks.
Why not just use free ChatGPT?
ChatGPT is a generic tool. We build AI customized for your business: trained on your products, connected to your CRM, with specific rules. It's the difference between Google Translate and a professional translator.
Ready to test AI on your process?
Talk 2 minutes with our AI. See how it works in reality, not in PowerPoints.
The AI will ask about your business and pre-qualify you. If you're a fit, it automatically schedules a call with us. If not, it tells you honestly.