Case studies
Deployment patterns across 14+ industries
Sheba runs 30+ production deployments across 14+ industries, built as 35+ AI agent personas. The patterns below are anonymized — no client names, no logos, no invented numbers — so you can read what we actually ship and find the closest match to your operation.
- 30+production deployments
- 35+AI agent personas
- 14+industries
Find the pattern that matches your operation
The deployment patterns below are grouped by the operating context they run in.
Regulated enterprise
Banking, microfinance, and healthcare deployments running inside PDPL-aware data boundaries with human escalation.
Arabic support automation for a microfinance bank
Sharia-compliant microfinance bankWhatsApp Business API
Routine product education runs under 15 seconds, 24/7, so customers arrive at the branch already informed. Financing leads reach relationship managers pre-enriched with financing type and amount, and underwriting and complex decisions escalate to a human with full conversation context.
Read the patternAI service-desk assistant for healthcare
Private hospital and medical directoryWhatsApp Business API, web
Reception phone load drops for non-clinical questions, patients find the right specialist faster, and the provider captures appointment-demand data for capacity planning — all without the agent ever giving a diagnosis or dosage.
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Commercial mid-market
Retail, F&B, real estate, and travel deployments scaling customer support and lead qualification across WhatsApp and web.
Admissions automation for a private university
Private MENA universityWhatsApp Business API, web chat widget
Routine admissions questions are answered the moment they're asked, day or night, during peak cycles. Prospective-student profiles are captured at first touch instead of the first phone call, and complex cases — transfer credits, unusual installments, accreditation detail — escalate to admissions staff with full context.
Read the patternWhatsApp customer support for Arabic retail
Arabic retail brandWhatsApp Business API, web chat widget
Routine questions are handled in under 15 seconds, 24/7, on the channel buyers already prefer. Conversations are captured in the CRM with contact attributes, and staff step in only when the conversation is ready to close.
Read the patternWhatsApp ordering for restaurants
Multi-branch restaurant brandWhatsApp Business API
Orders that would have been lost to abandoned calls are captured during peak hours, structured data capture moves to the agent so order-taking time drops, and complaints and custom catering hand off to staff. The agent runs in the brand's own dialect, configured per brand.
Read the patternReal-estate lead qualification with AI
Multi-project real-estate developerWhatsApp Business API, Telegram, web
Site visits arrive pre-qualified by budget and intent, so the visit-to-deal ratio improves. Leads from after-hours social ads are preserved by 24/7 response, and contract discussion stays with humans so the brand avoids legal exposure.
Read the patternWhatsApp assistant for a travel and documentation agency
Travel and documentation agencyWhatsApp Business API
Routine visa and document questions are answered in under 15 seconds, 24/7. Qualified leads reach human consultants pre-enriched with travel intent, and the agency scales inquiry volume through Umrah and Hajj seasons without hiring — bookings escalate to a consultant at the right moment.
Read the patternLead qualification for an auto dealership
Authorized car dealership and auto showWhatsApp Business API, web
Every inquiry becomes a captured lead instead of a lost phone call, the sales team works pre-qualified buyers with lead scoring applied before handoff, and service scheduling moves off the phone queue into a guided flow.
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Industrial and B2B
Manufacturing and B2B deployments running technical Q&A, structured quoting, and lead capture into the sales pipeline.
B2B quote assistant for an industrial manufacturer
Industrial manufacturer (steel, solar, water, foam)WhatsApp Business API, web
The quoting cycle collapses from hours of call-then-email to minutes, field technicians stop being interrupted for pricing calls, and the CRM surfaces which product categories drive the most B2B inquiries — high-intent orders route to account managers with structured quote data.
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Every pattern describes a real production deployment with the client identity removed. Impact lines are pattern-level, not per-client metrics.