Give each salesperson the next sensible contact for every customer, with a draft to edit.
AI Customer Engagement reads each customer’s history in your CRM and suggests who deserves a contact today, why, and a draft message in your own wording. The draft is never sent for you. The salesperson edits or discards it, and conversations are only read where your customers have agreed, under the privacy rules that apply in your country.
Good salesmen remember a customer’s last purchase and the hour they hate being rung, but that memory sits in one head and cannot cover several hundred accounts. Everyone else gets forgotten.
The software reads each account’s orders, tickets and messages, and proposes one next step, such as a reorder reminder, a check-in after a complaint or a thank-you note. A person decides whether to act.
The problems this is meant to ease.
What AI customer engagement does.
What this looks like in a working week.
The people who open this every day.
From first conversation to daily use.
Discovery of customers and channels
We learn how salesmen contact customers today and which channels each account prefers. We list the CRM, WhatsApp Business, email and calendar systems involved.
Data readiness and consent
Orders, tickets and contact history are checked for gaps. We confirm which customers have agreed to message reading, and mark do-not-contact entries.
Trial run with one team
The list and drafts go to a single team and a single customer segment. Nothing is sent by the software, and every suggestion shows its reason.
Checking drafts with the salespeople
Executives read, edit or reject drafts. Their changes shape the tone, and wrong suggestions are traced to the field that caused them.
Going live with limits in place
Contact limits, approval rules for sensitive messages and meeting scheduling are switched on. The sales head confirms which customers are always left to a person.
Reviewing replies and meetings
After a few weeks, managers compare replies and bookings by kind of contact. Suggestions that earn nothing are dropped.
How you would know it is working.
Record where you stand before it goes live, so the change is measured against your own figures.
- Response rate counts contacts that get a reply. Its baseline is the replies to manual follow-ups logged before go-live.
- Meeting bookings are the visits and calls fixed per month, taken from the calendar and CRM records before the change.
- Customer interaction frequency is the number of logged contacts per account in a quarter, compared with the previous quarter’s CRM history.
- Suggestions followed shows how many drafts are sent after edits, starting from the first live week.
- Time to follow-up is how long a quote or complaint waits for the next contact. It is read from existing records.
Where a person stays in charge.
Nothing is sent for you
Every draft is read, edited and sent by a person. No customer is messaged and no meeting is booked until a person approves.
Conversations read only with agreement
Chat threads and call notes are used where customers have agreed, and rules on this differ by country. A lawyer you appoint writes the consent wording. Legal advice is outside what this product offers.
No mood recorded as fact
A flag on an unhappy message is a prompt to read it. The customer is not labelled, and a flag never appears as fact.
Prices and offers stay human
It never sets discounts, credit terms or offers. It only suggests when to get in touch, and the sales head decides any concession.
Thin history gives thin suggestions
Accounts with few orders or notes offer little to read. We say so early, and those customers stay with a salesperson’s own diary.
It is one part of a system, not an island.
A module earns its place by what it passes to the next one. These are the connections we set up most often.
- Contact and account management
- Customer support and ticket management
- WhatsApp Business messaging
- Order and invoice records
Products that include it.
How we would put it in.
Questions owners ask about AI customer engagement.
Do customers need to be told their messages are read?
Yes, and the wording matters. Countries treat the reading of chats and call notes differently. Consent wording and customer notices are drafted by a lawyer you appoint. The product itself offers no counsel on the law.
Will the drafts sound like a machine?
They start from your own past messages, which keeps them closer to your shop than a stock template, but a person should still read every one before it goes.
What if most of our selling is a price list and a phone call?
Then there is little history for it to read, and a diary kept by the owner will give better suggestions than software. It suits repeat customers.
Does it decide who gets a discount?
It never touches prices. Discounts, credit terms and offers remain a decision for the sales head, and the software only suggests when to get in touch, never what concession to offer a customer.
What does it connect to?
Your CRM, order and invoice records, email and calendar. WhatsApp needs your own Business account and an approved integration, so we confirm that before setup.
Which records does it read?
Orders, tickets and contact history for each account, with dates. A few months of consistent records is the start, and more history gives better suggestions.
Who is in charge of the contact rules?
The sales head sets how often a customer may be approached and which messages need a manager. Every change is logged.
What does it take to set up?
Mostly cleaning contact history and agreeing the contact rules. Cost follows the channels you use. We scope it once we have read through your records.
Businesses that ask for this.
Modules that work with it.
Tell us how you handle AI customer engagement today.
A spreadsheet, a register or another system: say which, and we will tell you plainly what is worth changing.
- No obligation
- A reply within one business day
- Your details stay private
Start with your requirements
Seven short steps that tell us what you need. An engineer reads them before getting in touch.
Share your requirements