Algonova Case Study — 10x Higher Rebooking vs Human Team
12.08.2025
How Algonova Boosted Call Efficiency 10x with Dialog AI Enrollment Agent
In one month, Algonova scaled voice AI reactivation calls from zero to thousands, rescheduled 300+ trial classes, and beat a live sales team with a 10x higher conversion — all while improving SLA and staff focus.
At a glance
Client: Algonova Coding School (Indonesia branch)
Use case: AI voice agent for lead reactivation and trial class rescheduling
Period: May–Jul 2025
Scale: 2,537 phone conversations → 312 reschedules
Reach rate: 2.6× in 60 days
Rebooking lift: +30% vs. baseline
A/B result (30 days): 10× higher rebooking vs. human team
CX: 92% didn’t realize it was AI (neutral/positive)
“We felt it was time to go into AI and improve both conversions and speed of calls. The first contact in sales is all about SLA—how quickly you can reach the customer.” — Dmitriy Myshalov, CPO at Algonova.
At a glance
Client: Algonova Coding School (Indonesia branch)
Use case: AI voice agent for lead reactivation and trial class rescheduling
Period: May–Jul 2025
Scale: 2,537 phone conversations → 312 reschedules
Reach rate: 2.6× in 60 days
Rebooking lift: +30% vs. baseline
A/B result (30 days): 10× higher rebooking vs. human team
CX: 92% didn’t realize it was AI (neutral/positive)
“We felt it was time to go into AI and improve both conversions and speed of calls. The first contact in sales is all about SLA—how quickly you can reach the customer.” — Dmitriy Myshalov, CPO at Algonova.
The Challenge
- Growing demand + limited calling hours meant slow first contact, missed prime time and lead leakage.
- Reps could only call “in their free time,” and repetitive dialing squeezed out high-value conversations.
Operational symptoms
- SLA slippage on first contact
- Inconsistent follow-ups and lost callbacks
- Prime-time under-coverage; after-hours zero coverage
- Rep fatigue on low-value dials
The rollout (3 phases)
Phase 1 — Pilot in 3 days
Day 1: Algonova shared 1,000 dormant leads.
Day 2: We built the AI rescheduling agent, aligned scripts with sales (thanks, Rama), and ran test calls.
Day 3: The agent called the entire list; results streamed into Google Sheets for instant QA.
Pilot takeaways
Phase 2 — Integrations & Scaling
“Before Dialog AI, we could only call in our free time. Now we can call in prime time, as much as we want. We’ve already made 2,500+ calls and rescheduled 300+ leads — much better than human calls.” — Rama, Sales Lead, Algonova.
2-month impact
Phase 3 — A/B vs live sales team
“With your solution, we can do this automatically at scale. We’ll expand AI usage to the first line of sales—we just need deeper integrations with our backend and CRM.” — Dmitriy Myshalov, CPO, Algonova.
What changed for the team
Day 1: Algonova shared 1,000 dormant leads.
Day 2: We built the AI rescheduling agent, aligned scripts with sales (thanks, Rama), and ran test calls.
Day 3: The agent called the entire list; results streamed into Google Sheets for instant QA.
Pilot takeaways
- Reach rate on par with live reps
- Script quality consistent (agent uses full, fatigue-free knowledge base)
- 92% of callees didn’t notice it was AI; others were neutral/positive
Phase 2 — Integrations & Scaling
- Integrated new telephony + CRM + scheduling
- Added multi-attempt callbacks across times/days (maximize reach)
- Synced rescheduling data back to CRM automatically
- Connected to Calltron to detect each lead’s status and target “golden hours” precisely
“Before Dialog AI, we could only call in our free time. Now we can call in prime time, as much as we want. We’ve already made 2,500+ calls and rescheduled 300+ leads — much better than human calls.” — Rama, Sales Lead, Algonova.
2-month impact
- Reach rate: 2.6x increase
- Rebooking conversion: +30%
Phase 3 — A/B vs live sales team
- Head-to-head on the same lead pool for trial class rebooking
- Result: 10x higher conversion by the AI agent
- Golden hour precision on every attempt. 1000s parallel calls per hour
- Strict follow-up cadences (no drift, no lead loss)
- Multiple callbacks per sequence (up to 8), only in prime time
- Zero fatigue, zero context loss
“With your solution, we can do this automatically at scale. We’ll expand AI usage to the first line of sales—we just need deeper integrations with our backend and CRM.” — Dmitriy Myshalov, CPO, Algonova.
What changed for the team
- Reps stopped chasing low-value dials and focused on closing and advising
- Prime-time coverage without overtime
- Consistent, approved scripts → fewer errors and faster decisions
Dialog AI Enrollment Agent Testimonials from Dmitry Myshalov, CPO of Algonova
Case Takeaways
Implementation playbook (steal this)
Data & trust
- Define ROI up front: SLA (first-contact speed), reach-rate, booked trials, conversion.
- Ship in days, not months: Start with 1k leads + top 10 intents; iterate weekly.
- Automate persistence: Multi-attempt callbacks across time bands; no lead left behind.
- Aim at golden hours: Use dialer intelligence (e.g., status + time zone + historical connect windows at weekdays and weekends).
- Close the loop: Auto-write outcomes to CRM; dashboard for QA and script tuning.
Data & trust
- Guardrails: Approved knowledge base, scoped intent coverage, “I don’t know” fallbacks
- Handoffs: One-click escalation to a human when needed
- Privacy: CRM-scoped access; audit trails; no training on sensitive PII
Dialog AI Enrollment Agent Testimonials from Ramadan Augustian, Head of Sales of Algonova
What’s Next
Next few months we’re launching:
Ready to lift conversion and protect your team’s time?
👉 Book a 30-minute consultation with Dialog AI to scope a 3-day pilot and model ROI for your pipeline.
- Reminder Agent — reduce no-shows for trial classes
- Post-trial follow-ups — convert attendees to paid students
- New lead qualification — convert prospects into qualified leads
- Promotions for seasonal spikes or new products
Ready to lift conversion and protect your team’s time?
👉 Book a 30-minute consultation with Dialog AI to scope a 3-day pilot and model ROI for your pipeline.
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