Customer Service.
Support that scales without becoming a bot.
FAQ, triage, and first-line coverage on the channel your customer already uses — with human handoff and context when the conversation leaves scope.
Resolve at the first layer
Query the official knowledge base
Transfer with history
A3Labs
online
Today
Hi, I need the deadline for order 8841.
A3Labs
Found it. It shipped yesterday and the ETA is tomorrow by 18h. Want the tracking code?
Yes. And if it doesn’t arrive on time?
A3Labs
If it goes past the deadline, I open a case. A specialist takes over with this conversation history.
Please open one. I want to talk to someone.
A3Labs
Ticket 5521. The team already joins with a summary, the order, and what we’ve already tried.
A3Labs
Meanwhile, here’s the tracking: BR8841-092. I’ll notify you here of any update.
Message
Queue and CSAT in real time
Answers only from the official knowledge base
Handoff with context
First layer
Resolution at scale, without a generic bot
Volume grows faster than headcount and the queue becomes the bottleneck. The agent covers FAQ, triage, and the first layer with the official knowledge base — and stops when policy says to stop.
- Consistency with the company’s FAQ, SLA, and policies
- Faster first-reply time, 24/7
- Human team only where judgment is required
Support · this week
+22% resolution vs previous
2.180Conversations started
71%Resolved at 1st layer
92%First reply < 1 min
34Handoffs with context
Knowledge
Aslam is the source of truth — the agent doesn’t invent
FAQ, policies, and SLA become authorized context. If it’s not in the knowledge base, the agent doesn’t guess: it flags the limit and transfers to whoever can decide.
- Answers aligned with the company’s official knowledge base
- Less rework from wrong information
- Update the policy, update the agent
Aslam knowledge base · 7 days
0 outside policy
214Knowledge base queries
86%Covered by policy
0Invented answers
12Routed to a human
Handoff
When a human is needed, context comes along
Handoff isn’t “sorry, please hold.” It’s a transfer with history, risk flagged, and what was already tried — so the analyst continues without starting from zero.
- Conversation summary for whoever takes over
- Less queue for the specialist team
- Metrics by channel, intent, and flow
Support that scales — screening, FAQ, and handoff without losing context.
Live conversation · Ticket #5521
Customer — My payment slip didn’t clear. Can you resend it?
Typing…
Agent — I checked the database. It is due on the 12th. I’ll resend the PDF here and log the ticket.
Customer — I want to talk to a human, please.
Typing…
Agent — Transferring. The analyst already joins with history, the payment slip, and what has already been resolved.
Dashboard
Operational clarity for managers
The same place where you configure rules is where you see what’s converting, what’s stuck, and where the flow is worth adjusting — with clear KPIs and experience health (how satisfied people are with support).
Metrics by intent
Volume, first-reply SLA, and handoffs — by channel and campaign.
One base, many flows
One base agent + flows by intent: no duplicated config for every launch.
Quality health
Satisfaction and friction signals — so you adjust scripts before they become a CSAT problem.
Integrations when you need them
CRM, calendar, and APIs on the plan that fits your stage.
Dashboard example: numbers that move the team and a gauge of perceived quality in support.
Support health
How much people are enjoying the experience — weekly aggregate.
0%
Satisfaction index
Positive tone in replies
94%
Reopens / dissatisfaction
6%
Omnichannel
Where your customer already is
Start with WhatsApp and expand: the agent’s behavior stays aligned with your operation.
WhatsApp
Webchat
Instagram
Google Calendar
Microsoft 365
CRM
Questions
Frequently asked questions
Transparency before the contract: what changes in your operation in the first month.
No. Chatbots follow a fixed script. Our agents interpret intent, use a knowledge base, and run flows with rules — with metrics and human handoff when needed.
Yes. It’s one of the preferred go-to-market channels. We also integrate webchat, Instagram, and others depending on your plan.
By UTM, inbound number, or first question. Without an identifier, we use a short routing question.
The agent follows what it was taught (base, rules, and flows): it doesn’t “make up” answers outside scope. When something isn’t covered or the customer asks for a human, we trigger handoff with a conversation summary so whoever takes over doesn’t start from zero.
It depends on scope. Starter prioritizes a fast Go Live with essential flows; in the discovery we lock timeline and deliverables.
Next step
Which process in your company should work better with AI?
We start by understanding your process — not by pushing a product. We map the opportunity, define the V1 and show where humans, Assistants and Agents should act.
A Monditech Group company
A3Labs is part of the Monditech Group ecosystem — cloud technology and services focused on reliable platforms for digital operations, governance, and scale.
A product with solid engineering and a clear purpose: put AI to work in your support operation, on WhatsApp and in the dashboard, at the pace of your business.