AI Agents
Routine enquiries resolved. Judgment escalated cleanly.
WhatsApp, web, voice and email handled by one agent grounded in your knowledge — so your team is not a FAQ department.
The pain
What is leaking today
The same ten questions
Hours, pricing, status, documents — answered differently every shift.
Channels are islands
A WhatsApp thread and an email about the same order never meet.
Handoffs hurt
Customers repeat themselves because the human got a dump, not a brief.
How Spark solves it
The system, not another tool
One knowledge, every channel
Approved answers, order status and policy — used consistently.
Identity across threads
The customer is recognised whether they type or call.
Escalation with respect
Humans get intent, history and a recommended action.
How it works
From intake to a number you can run
- 01
Connect
Channels and systems of record.
- 02
Ground
FAQs, policies, product and order APIs.
- 03
Resolve
The agent answers what it can.
- 04
Escalate
Judgment cases with a brief.
- 05
Improve
New answers published back.
Capabilities
What you can actually do with it
Omnichannel inbox
WhatsApp, web, voice, email in one queue.
Grounded answers
Only what is in the knowledge base — no improvisation on policy.
Order & ticket lookup
Status without a human searching five systems.
Language coverage
English, Arabic and more, in your tone.
SLA routing
Priority and owner assigned at first message.
Quality loop
Misses become knowledge updates the same week.
What changes
- First response in seconds
- Deflected FAQs
- Humans on exceptions only
See AI Customer Service Agent against your week.
A 45-minute session with a systems architect — we will tell you if this is the first win, or if a simpler move is enough.