Case studies
What we ship, with the client's name taken out.
Each pattern below is a production deployment with the operator's identity removed: the constraint it started from, the system that runs now, and the measure it is read on. Read them for the shape of the operation. The closest match to yours is worth more than the largest name on the list.
- 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 questions are settled in the conversation, 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 hospitalWhatsApp Business API, web
Non-clinical questions are answered without the receptionist leaving her position. Appointment requests collect in one record the provider can read demand from, department by department.
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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 universityWhatsApp Business API, web chat widget
Faculty, fee and deadline questions are answered outside office hours instead of waiting for them. The admissions office opens to completed profiles rather than a list of calls to return.
Read the patternWhatsApp customer support for Arabic retail
Arabic retail brandWhatsApp Business API, web chat widget
Routine questions are handled 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 are taken through the lunch and dinner peaks while the phone line is busy, and each one reaches the kitchen written down rather than repeated aloud. The agent remembers what a returning customer ordered, and runs in the brand's own dialect.
Read the patternReal-estate lead qualification with AI
Multi-project real-estate developerWhatsApp Business API, Telegram, web
Visits arrive with the questions that decide them already asked. Enquiries that land after hours from social ads are written to the record instead of waiting for the morning.
Read the patternWhatsApp assistant for a travel and documentation agency
Travel and documentation agencyWhatsApp Business API
Routine visa and document questions are answered after the counter has closed for the evening, without queueing behind a consultant. A traveller who comes back in a later season is recognised from the earlier conversation rather than requalified from the start.
Read the patternLead qualification for an auto dealership
Authorized car dealership and auto showWhatsApp Business API, web
A service question reaches the service flow and a purchase question reaches sales, without both passing through one queue. Enquiries that arrive outside working hours are written to the record instead of retold in the morning.
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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
Spec, size and current-price questions are answered from the same catalogue the plant works from. The record shows the team which product categories bring the most enquiries.
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Every pattern describes a production deployment with the client identity removed. The measures are named; the per-client figures are not published.