Every customer answered. Every deal followed up.
Customer service on WhatsApp in the customer's own language, answers drawn from the store's real catalog and policies, support desks with a governed copilot, and a sales pipeline that cleans itself weekly. Volume handled, control kept.
- WhatsApp done properly
- Answers from the real catalog
- Approvals on sensitive replies
- A pipeline that cleans itself
Six places a retailer feels it early.
Each of these exists in the platform today. Nothing here is a concept drawing.
Customer service where customers already are
Orders, policies, and product questions answered on WhatsApp and the web, in Arabic or English, with voice notes understood and photos read. Sensitive cases go to a person.
The catalog as live knowledge
The assistant reads the store's own catalog: real product names, prices, and details, so answers match what is actually on the shelf, not last season's spreadsheet.
A copilot for the support desk
Tickets triaged, threads read in full, replies drafted from approved policy, refunds and cancellations held behind a person's approval, and the ticket updated when done.
A pipeline that cleans itself
A weekly manager agent finds stale deals, enriches the accounts from public sources, applies confirmed updates to the CRM, and holds stage changes behind approval.
One call from the commerce platform
The store's existing platform sends one secure call, a full process runs on Phronexa, and the result returns to the same system. No re-platforming.
The weekly trading briefing
Every week, the numbers become a bilingual, polished briefing delivered to leadership, built by a process on a schedule.
Built for brands whose reputation is one reply away.
Trust here is not a slogan. Each of these is how the platform behaves, by design.
Your data stays home
The whole platform runs inside your own environment, on your own infrastructure. Nothing leaves to be processed somewhere else.
Every answer carries its source
Answers cite the approved document and the exact article, so a reviewer or an auditor can check for themselves. No source, no answer.
It knows when to stay silent
When the approved sources do not support an answer, the assistant declines politely rather than invent one. A wrong answer costs more than no answer.
People stay in charge
Filing, updating, or sending anything consequential pauses for an employee's approval. The decision, and who made it, goes on the record.
Everything on the record
Every question, answer, approval, and action is recorded in a way that cannot be quietly altered. When someone asks 'who did this and why', there is an answer.
Arabic first, not translated
Built and tested in Arabic from the start, on the channels people actually use.
Real screens, not mockups.
The use cases behind this sector.
Customers answered in minutes on the channel they prefer, support that scales without hiring in waves, and a pipeline where nothing goes quietly stale.
Sovereign, Arabic-first AI, ready to prove its value on-premises, in weeks.
Start with one high-value use case and measure it on real data.