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MINDORA AI
Real automation results

Whatshiftedafterweshipped the automation.

Three deployments across real estate, education, and healthcare — each one a measurable shift in response time, conversion, or operational load.

Case 01

Real Estate

Case 02

Education Institute

Case 03

Healthcare Clinic

Case 01 · Real Estate

Slow lead response and poor customer follow-up.

Key shift

Lead response · hours → seconds

Context

A multi-location real-estate brokerage was averaging 4+ hour response times on property enquiries. By the time agents called back, prospects had moved on.

Solution

Implemented WhatsApp AI assistant with CRM integration.

What we built

  • 01WhatsApp AI assistant with property-search NLU
  • 02Direct sync into HubSpot with auto lead-scoring
  • 03Follow-up sequences triggered by prospect intent
  • 04Agent hand-off with full context history

Results

  • Outcome 01

    Lead response reduced from hours to seconds

  • Outcome 02

    Increased conversion rates

  • Outcome 03

    Automated sales workflows

Case 02 · Education Institute

Managing thousands of student inquiries manually.

Key shift

Inquiry coverage · partial → 100%

Context

An education institute was handling 8,000+ student inquiries per intake cycle manually — admissions counselors burning out, conversion sliding.

Solution

AI-driven inquiry management and admission automation.

What we built

  • 01Multilingual AI inquiry handler across WhatsApp + web
  • 02Admission status automation + document checks
  • 03Intent-based routing to the right program counselor
  • 04Re-engagement flows for dormant inquiries

Results

  • Outcome 01

    Faster response times

  • Outcome 02

    Reduced workload

  • Outcome 03

    Improved admissions conversion

Case 03 · Healthcare Clinic

Appointment scheduling inefficiencies.

Key shift

No-show rate · 18% → under 6%

Context

A multi-doctor clinic was losing ~18% of slots to no-shows and double-booking. Phone lines were jammed during peak hours.

Solution

AI appointment automation system.

What we built

  • 01AI appointment booking on voice + WhatsApp
  • 02Smart reminder cadence (T-24h, T-2h, T-30m)
  • 03Auto-reschedule when a patient cancels
  • 04Doctor-side dashboard for daily flow

Results

  • Outcome 01

    Reduced no-shows

  • Outcome 02

    Better patient communication

  • Outcome 03

    Improved operational efficiency

Beyond these three

We've deployed across six industries.

The case studies above are publishable. Many more are NDA-locked. The shape of the system varies — the discipline doesn't.

Be the next one

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We'll bring the system that moves it.

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