AI Solution

Conversational agent

One agent on your WhatsApp, email, and web chat. It reads what each customer actually wants, takes the order or answers the question, and hands your team only what it cannot close.

Your customers don't see departments

A customer messaging your WhatsApp doesn't think "this is the order line" or "this is support." They just message you. Sometimes they want to place an order, sometimes they want to know where the last one is, sometimes they have a complaint, and often it's all three in the same thread.

Most companies split that across an order desk and a support desk: two teams, two queues, two sets of working hours. The customer feels the seams. They get forwarded, put on hold, asked to repeat themselves to the next person.

One conversational agent removes the seam. It reads what the customer wants and routes itself: it places the order against live stock, it answers the question and checks the status, and it escalates to your team only when it genuinely needs a human.

The architecture, in one picture

One inbound message. The agent reads what it is, and takes it from there.

Orders go one way, questions go another, both pull from the same systems, and the same agent runs the whole conversation.

Inbound

The customer messages

WhatsApp, email, or web chat
Any hour, any language

The hub

The agent reads intent

Order? Question? Status? Complaint?
Routes the conversation itself

Your systems

Stock, orders, CRM

Live stock, order history, customer record

Query path

Answers the question

Status, account, FAQ, the lot
Pulled live from your records

★

Resolved

Replies in the chat

Instantly, in the right tone
Or escalates, with the full thread

Order path

Takes the order

Checks live stock, offers substitutes
Confirms the final cart

★

Captured

Writes to your ERP

Clean order in SAP or Zoho
Every chat becomes demand data

How it begins

One door for every customer.

No "press 1 for orders, press 2 for support." The customer sends a message on the channel they already use, in their own words and their own language. The agent picks it up instantly and works out what they actually want before it does anything else.

Where it splits

Same agent, two jobs.

If it's an order, the agent checks live stock, offers substitutes when something is short, and confirms the cart. If it's a question, it looks up the order status, the account, or the policy and answers on the spot. Both sides read from the same systems, so the answer is always current.

What you get back

Orders captured, questions answered, seams gone.

Orders land clean in your ERP, questions get answered in seconds, and your team only sees the genuinely hard cases, with the full thread attached. Every conversation, order or query, is logged as data you can read later.

The blueprint

What makes it work.

One agent, two jobs, one set of connections. The AI reads intent and runs the conversation; the rest is plumbing into systems you already have.

One front door. The agent sits on a WhatsApp Business number, a Telegram bot, a monitored inbox, or your site chat. Every customer message lands in the same place. WhatsApp Telegram Email Web chat
Intent routing. Claude reads each message and decides what it is: an order, a status check, a question, a complaint. It can switch mid-thread when the customer does. Claude
Order path. Live stock lookup, substitution when a SKU is short, the buyer's usual basket, and a confirmed cart written to your ERP. SAP Zoho
Query path. Order status, account details, policies, and FAQs answered live from your CRM and order data, in the right tone. HubSpot Salesforce Zoho
Escalation. Anything the agent should not close on its own, by sentiment, complexity, or rule, is handed to your team with the full conversation attached.
One log. Orders and questions alike are written back to your systems and kept as structured data, so you can read demand and support patterns from the same place.