AI Systems
AI that holds a conversation and closes work (WhatsApp consultants, extraction pipelines, grounded answers): Maryam's architecture tuned to your business.
We run it ourselves first
Maryam, Sijil's AI consultant working in Arabic or English, is live on WhatsApp today: consulting, quoting, and handing registrations to humans.
Deliverables
What lands on your desk
A WhatsApp consultant built around your real sales and support flow
Extraction pipeline: chats and documents into structured records
Grounded answer layer over your own documents and prices
Transparent-AI guardrails and a clean human handover
Delivery Workflow
How engagements run
We map your conversations and what must be extracted
Build and ground the assistant on your real documents
Run it beside a human until the answers hold
Hand over with metrics, guardrails and the escalation path
A real example
From real work, with a real client
Maryam, the AI consultant Sijil runs on WhatsApp every day, quotes only from the engine's verified data and hands off to a named human: the disclosure rules are public.
The figures behind this practice sit on our home page in plain sight: what we have delivered, for how many founders, and through which partners.
See the numbersFAQ
Direct, unambiguous answers
Will clients know they are talking to AI?
Yes: ours introduce themselves honestly and pass final steps to a named human. Pretending otherwise breaks trust and platform rules.
What happens when it doesn't know?
It stops guessing. One prepared handoff moves the conversation to a human, and every such case is logged for the next fix.
Whose architecture is this?
Maryam's: the consultant Sijil runs on WhatsApp every day. We adapt what already works, not a demo.
We build. We prove. Then we serve.
Ask the hardest question first.
One WhatsApp message in Arabic or English is all it takes: you get an answer built on our real numbers, not a sales script.
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Adjacent Practice
The venture powering this service
Service Library