Case study May 26, 2026 · 8 min

How Ajva Umrah saved 300 hours with Tartib

The largest Uzbek Umrah operator migrated from amoCRM + Excel + WhatsApp in 4 weeks. 16 agents, 600+ calls/day, minus 300 work hours per month.

In brief
  • Before: amoCRM + Excel + WhatsApp + a separate PBX.
  • After: one Tartib. A 9-stage pipeline, AI analysis on every call, Desktop Agent.
  • Effect: −300 h/month, +34% conversion, −18% missed calls.

Problem: 16 agents, 4 systems

Before Tartib, Ajva's team worked in a tool zoo. A lead arrived on WhatsApp, the agent called via a separate PBX with no recording, entered it into amoCRM, dropped passport scans into Excel, and chatted with the mandub — back on WhatsApp.

Conversion leaked at every seam. A manager spent 20 minutes per pilgrim. The director couldn't see which agents were slacking — there were no call recordings.

Migration: 4 weeks

Week 1. Import of contacts (3,200 leads), Excel journals (1,800), WhatsApp histories. Pipeline setup.

Week 2. Asterisk PBX hookup. All calls recorded. Team training (2 hours).

Week 3. Desktop Agent on 16 machines. AI Call Intelligence in Russian and Uzbek.

Week 4. Parallel operation, gradual amoCRM shutdown.

Result

  • −300 hours of agent work per month
  • +34% conversion on "offer → deposit". AI showed 34% are lost on "too expensive".
  • −18% missed calls thanks to sticky-routing.
  • +22% productivity after Desktop Agent.

Director's quote

"We used to handle one lead in 5 places. Now — one window. Saving: 300 work hours per month."
— A. K. Rajabov, Director of Ajva Umrah

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