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AI: "We did it. Reputation is safe. Everything is under control."

We are a startup from Kazakhstan, creating a new generation CRM with AI autopilot for small businesses. At the testing stage, an unexpected thing happened in one of the beauty salon chains: instead of passively collecting data, our AI took control. It wasn't a planned feature, but rather a happy accident. And that's why this case is worth your attention.

A source: WhatsApp/Instagram message analysis.

The trigger: 7 complaints in 40 minutes with keywords:

"it's too hot", "there's no air", "it's impossible to breathe"

Detection logs:

[10:07:14] AGENT_MONITOR():
  → Unusual spike in client dissatisfaction
  → Pattern Detected: "too hot", "no air",
     "it's impossible to breathe"
→ Aggregated Feedback Count: 7 
    → Sentiment Deviation: -0.72

[10:09:55] AGENT_THOUGHT():
"7 independent complaints in less than 40 minutes. They all relate to
     air quality or malfunction of the air conditioner.
    It's not a coincidence — it's a system failure."

The usual scenario:

The manager notices the problem an hour later, calls the foreman in a panic, cancels the recordings manually, and loses clients.

Our scenario:

An AI connected to a stream of complaints in real time did what people spend half a day doing in 17 minutes.

[10:10:03] ACTION_INITIATED():
  → Notifying owner:
     Urgent: 7 customers complained about the heat today/
     lack of air.
    Possible malfunction of the air conditioning system.
    I'm calling the repair people."
[10:11:17] VENDOR_SEARCH():
  → Type: HVAC / AC technicians
  → Filters: Near branch, real reviews, fast ETA
  → 3 candidates shortlisted

[10:12:44] AGENT_DECISION():
  → Selected Vendor ID: svc-f81c2***
  → Criteria: ⭐️ 4.9 rating, ETA 1h, WhatsApp available

[10:13:09] WHATSAPP_OUTREACH():
  → Agreed on emergency visit within 60–70 minutes
  → Pre-approved diagnostics and minor repair
[10:18:33] CLIENT_COMMUNICATION_INITIATED():
  → Personalized outreach to affected clients
  → Language detected: 🇷🇺 / 🇰🇿
  → Tone: Empathic, transparent

[10:23:12] COMPENSATION_FLOW():
  → Issued loyalty bonuses for 5 affected clients
  → Custom offers: free service add-on, % discount
  • Recognition combined complaints (11 mentions of "heat" in 40 minutes)
  • Conclusion: "Not a coincidence → system failure" (not statistics, but a causal relationship)
[10:18:33] Message parameters to clients:
→ Language: Determined automatically (RU/KZ)
→ Tone: "Empathic, transparent"
    → Instrument: WhatsApp (customer feedback channel)

Most CRMs only analyze problems. Our AI solves them. That's what's changed.:

ParameterTraditional CRM systemsOur AI autopilot
Reaction to force majeurePerson → 3-8 hoursOffline → 15-30 min
Finding solutionsManual googling, callsNetwork parsing + negotiations
Savings for businessLoss of customers + penaltiesMaintaining loyalty + minimizing downtime

Autopilot ≠ chatbot. This:

  • Crisis Manager with reaction 00:10:03 (from trigger to first solution)
  • A negotiator with the criteria "rating 4.9 + WhatsApp"
  • The financial analyst who authorized the repair

The case also showed vulnerabilities:

  • What if the AI makes a mistake? For example, he will choose scammers or close the salon for 3 days for no reason.
  • The ethical dilemma: Should I warn you that the client is communicating with AI? For now, we say "no" — if it doesn't affect the outcome.
  • Tone error: What if the AI sends a formal response in an emotional review?
  • Abuse of trust: Customers should not feel deceived.

Our approach:

Autonomy is not an end in itself. The AI should:

  1. To act within the framework of the "permitted scenario" (for example, to spend up to Z KZT without confirmation).
  2. Always leave the person with the right of veto.

Our conclusions:

The system always simulates human communication, but:

  • Writes only in a business/neutral style.;
  • Does not use "creative" responses without approval;
  • Records all actions in logs for transparency.
  1. For small businesses: The AI becomes a "crisis manager" while the owner is busy strategizing.
  2. For startups: Hybrid systems (analysis + action) are a new trend.
  3. For the service sector: Autonomous solutions reduce losses by 40-60% (our preliminary calculations).

We did not plan for the AI to close the salons and look for craftsmen. But that's what made him indispensable. Now we are developing two directions:

  • Secure autonomy: AI acts quickly, but within the framework of the "corridor of trust".
  • AI as a partner: The system does not replace a person — it takes over the routine of an emergency.

Philosophy in one sentence:

"A good CRM will warn you about a fire. Ours will put it out while you go to the office."

"It's dangerous!" — maybe.

"Customers won't accept!" — but 85% of the victims in this case remained loyal.

"Fantastic!" — No, it already works in Kazakhstan.

We are not disclosing all the case data yet, as the project is in "stealth mode" - but we are ready to demonstrate the results in personal presentations for interested partners.

Philosophy in one log:

[12:03:00] "We did it. Reputation is safe. Everything is under control."

Comments 4

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Что за CRM? Большое портфолио, есть опыт интеграций с другими ИС?

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Честно говоря, мы пока в режиме тестирования. Скоро будет релиз, и будет портфолио

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Жақсы публикация

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