Lead Response Engine
A qualified WhatsApp or SMS reply within 60 seconds, 24/7. Two or three qualifying questions, automatic hot/warm/cold tagging, and escalation to a human within 10 minutes if the conversation needs one.
AI & Automation
A lead that waits four hours for a reply has usually already messaged someone else. Conversational AI agents answer in seconds, on whichever channel the person actually used, in the language they used it in.
The Problem
Most inbound leads and support questions arrive outside business hours, or during the ten minutes a day your team is slammed. By the time someone gets to them, the moment that mattered — the person actively comparing options, actively deciding — has passed.
The channels themselves are part of the problem: a lead messages on WhatsApp, a question comes in through Instagram DM, a booking request lands on the website chat widget. Three inboxes, three response times, and no shared memory of who's already been in touch.
None of this is a staffing problem you can hire your way out of. It's a coverage and consistency problem — every message deserves the same fast, accurate first response, whether it arrives at 9am or 11pm.
What We Build Most Often
These are the builds we’re asked for most. They’re a starting point, not a menu.
A qualified WhatsApp or SMS reply within 60 seconds, 24/7. Two or three qualifying questions, automatic hot/warm/cold tagging, and escalation to a human within 10 minutes if the conversation needs one.
Automated reminders at 48 hours, 24 hours, and 2 hours before an appointment, with a one-tap confirm or reschedule link — not another phone call your staff has to make.
One agent, deployed across WhatsApp, web chat, and social DMs, that shares context across channels so a customer never has to repeat themselves.
Inbound and outbound voice agents and chat, fluent in Urdu, English, and Arabic, for markets where a single-language bot quietly loses half its audience.
Automatic order-status replies and cash-on-delivery confirmation before dispatch, so your team isn't fielding "where's my order" messages by hand.
What We Can Connect To
Your case is probably in scope, even if it’s not on this list.
Client Results
Omnichannel AI Chatbots
“Centralized Support Across WhatsApp & Social Media with Deep Complaint Analytics”
Managing customer inquiries across WhatsApp, Facebook, and Instagram was a nightmare for our support agents. The unified chatbot system now handles routine inquiries and complaint tickets across all three channels automatically — response time is down 70%, and it gives our product team instant operational clarity.
Not On The List?
Tell us the process. If it's a conversation that follows a pattern — qualifying, confirming, answering the same handful of questions — it's automatable.
FAQ
Alongside. The agent handles the repetitive, pattern-based volume — qualifying, FAQ, status checks — and escalates anything that needs judgment to a human, with the full conversation history attached.
Yes — multi-language is built in from the start where the market needs it, not bolted on afterward as a translation layer.
It escalates rather than guessing. Every flow includes an explicit handoff point so a human picks up the conversation with context, not a customer starting over.
The first working flow — usually lead response or no-show reduction — is typically live inside the first few weeks, not months, because it's built against your real inbound traffic from day one.
Related
One conversation is enough to find out — and to scope the first response flow.