AI and WhatsApp automation
Automated handling of customer enquiries on WhatsApp, with AI where it helps and a clear hand-over to your team.
Automation and practical AI that remove repetitive manual work, so your team can focus on the work that grows the business.
Reviewed by Pathmanathan Lathesh, Founder and CEO · Last updated
AlienX Engineering PVT LTD builds automation that removes repetitive manual work: WhatsApp and AI-assisted replies, and end-to-end automation of business processes. We use AI only where it creates measurable value for the business, not because it is fashionable. We are based in Kalmunai and work with businesses across the Eastern Province and the rest of Sri Lanka, in English and Tamil.
Automated handling of customer enquiries on WhatsApp, with AI where it helps and a clear hand-over to your team.
Repetitive administrative steps, such as re-typing, copying and chasing, replaced by connected, automated workflows.
Automation that applies rules and AI models to decisions your team makes over and over.
Models applied to a defined business problem, with the value they should create agreed before they are built.
The best first candidates are tasks a person repeats many times a day with little judgement: answering the same customer questions, copying figures between a spreadsheet and a billing system, chasing unpaid invoices, or re-typing orders that arrive by message. These are slow, easy to get wrong when a team is busy, and they rarely need a human decision. We look for these patterns in how you already work before proposing anything, so the first automation removes real friction rather than adding a tool nobody asked for.
In Sri Lanka, and especially in the Eastern Province, most customers already reach businesses on WhatsApp rather than email or a web form. We build WhatsApp automation that answers common questions instantly, sends order and delivery updates, confirms appointments and takes simple enquiries, at any hour. When a message needs a real person, it is handed to your team cleanly with the history attached, so the customer never has to repeat themselves. The aim is a faster reply for the customer and far less repetitive typing for your staff, in both English and Tamil.
We treat AI as one tool among several, not the goal. For many problems a clear set of rules is cheaper, faster and more predictable than a model, and we will say so. Where a model genuinely helps — drafting replies, sorting and tagging incoming messages, pulling the key facts out of documents, or flagging unusual transactions — we agree the measurable value it should create before it is built, and we keep a person in control of decisions that carry risk. You should always be able to see why the system did what it did.
We start with one process end to end, prove it in your real operation, then connect the next one. Over time the separate automations join into a workflow: an enquiry on WhatsApp creates a record, the record updates your billing or CRM, a reminder goes out automatically, and your dashboard shows it all without anyone re-entering data. Because every step is engineered around how your business already runs, your team keeps working the way they know while the repetitive load quietly disappears.
We study how the operation runs today before any code or database is designed.
The system is shaped to the way your people already work, not the other way around.
We build the system and check it against the real workflow it has to support.
Software is engineered for years of use, and what we learn feeds back into it.
Repetitive work that follows a pattern: answering common customer questions, moving data between systems, and routine administrative steps.
Yes. We build AI and WhatsApp automation for customer enquiries, with a clear hand-over to your team when a person is needed.
No. We use AI only where it creates measurable value for the business. Many problems are better solved with plain automation.
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