One team across business units
Separate plans and budgets per brand or unit, run by one accountable team so nothing falls between agencies.
Last updated: July 2026
Trusted by Malaysian GLCs, listed groups and platforms
For organisations with real lead volume, automation connects your channels to your sales team, so every enquiry is routed, followed up and reported.
Separate plans and budgets per brand or unit, run by one accountable team so nothing falls between agencies.
A registered Malaysian company (Plixitt Solutions, BRN 003426311-V) with documentation your procurement and legal teams can review, including how personal data is handled under the PDPA.
One named lead for your account and reporting written for management, not dashboards for their own sake.
If your group also operates in Singapore, Australia, Hong Kong or Taiwan, each market gets its own plan and its own pages, never a copy of Malaysia.
Quick answer: AI automation for Malaysian businesses means narrow, task-specific workflows — a drafted WhatsApp reply, a logged enquiry — with a human still approving anything a mistake would cost money on, built on n8n, Make or Zapier. Simple workflows ship in 2–4 weeks, complex multi-integration builds in 4–8 weeks. If a RM50/month SaaS tool already covers it, we say so first.
A form submission lands at 11pm. The AI reads it, checks it against the enquiry's treatment or product category, drafts a WhatsApp reply in the customer's language, and logs it against the lead in the CRM. A staff member sees the draft first thing in the morning, edits a line if needed, and sends it — the AI did the drafting, not the deciding. That's the shape of every workflow we build: a narrow, well-defined job handed to AI, with a human still holding the approval step wherever a mistake would actually cost something.
We don't sell "AI" as a category. We build the specific mechanism — the trigger, the model call, the approval gate, the logging — for a task you can already name.
Most agency pages talk about "automation platforms" without saying which one, as if the tooling is a trade secret. It isn't. We build on n8n when a workflow is complex, high-volume, or needs to run on infrastructure you control — self-hosting removes the per-execution pricing that makes SaaS automation expensive at scale. We build on Make or Zapier when a team wants a fully managed platform with less server maintenance and is happy to pay for that convenience.
The choice is a technical judgment call based on your volume, budget and existing stack — not a fixed house preference. All three connect to the same places: your CRM, your WhatsApp Business API, your ad platforms, your booking system, and — where relevant — a MyInvois-connected billing flow (see the custom software service for the e-invoicing integration side of that). If you want a monthly cost estimate for the LLM layer specifically, the free AI API cost calculator compares Claude, GPT and Gemini pricing side by side against your projected usage.
A prospective patient messages a clinic's WhatsApp at 9pm asking about a treatment. The AI reads the enquiry, matches it to the clinic's treatment list, and drafts a reply that answers the factual question — price range, availability, what the first visit involves — without drafting anything that reads as a clinical claim or guarantee. A staff member reviews and sends.
This is enquiry triage, not diagnosis, and the line between the two is exactly where KKM/MDC advertising rules bite; we build the flow to stay on the compliant side of it by design, not by chance. See the AI chatbots for clinics guide and our aesthetic clinic marketing programme and dental clinic marketing programme for the compliance context this sits inside.
A renovation enquiry arrives with almost no useful detail — "interested in renovation, please call." Before a designer's time gets spent on a call, the AI asks the qualifying questions a sales consultant would ask anyway: property type, rough budget band, timeline, which rooms. The answers get logged against the lead and routed to the right consultant, so the first human conversation starts from a qualified brief instead of a cold "tell me more." See the interior design marketing programme for how this connects to the wider lead-generation funnel.
An order status question, a stock enquiry, or a reservation request arrives outside business hours, in a volume no small team can answer individually without delay. The AI drafts the factual answer — order status pulled from the system, stock availability, table request logged — and a staff member confirms anything that involves a real decision (a refund, a large group booking). See the e-commerce marketing programme and F&B & restaurant marketing programme for the demand side this feeds.
Anything where a wrong answer costs more than the time it saves. Clinical advice, a first-time service complaint, a high-value negotiation — these stay with a person. AI drafts and routes; it doesn't get the final word where the downside of being wrong is high.
A chatbot as a substitute for mapping your funnel. If a business hasn't worked out what its enquiry-to-booking journey actually looks like, building a chatbot on top of that gap just automates the confusion faster. That conversation happens before any build, not instead of one.
Where SaaS already does the job. If a RM50/month tool already solves the exact workflow you need, we'll say so — a custom AI build only makes sense once the off-the-shelf option genuinely runs out of road. See the custom software vs SaaS decision guide for how we think about that line.
Name the exact task before naming the tool — what triggers it, what the AI needs to know, where a human has to sign off.
n8n, Make or Zapier selected on volume and budget, not habit — connected to your CRM, WhatsApp and existing systems.
Draft-and-approve steps built in wherever a wrong output carries real cost — never a fully autonomous send by default.
The flow goes live against real enquiry volume, with logging so every AI-touched interaction is traceable to an outcome.
Draft quality and approval-rate reviewed as real conversations accumulate; the flow gets tightened, not left alone.
Client results
Property · Sunway Property
Meta ads into a dedicated landing page with a qualifying lead form, and the Conversions API sending real enquiries back to Meta.
Read case studyAesthetic clinic
Non-compliant Meta Ads rebuilt into a KKM-compliant creative system, with WhatsApp tracking from ad to booked consultation.
Read case studyAn aesthetic clinic group gets most of its enquiries on WhatsApp, many outside opening hours, and the clinic that replies first usually gets the consultation. We build AI-assisted flows that answer routine questions (location, hours, what a consultation involves), ask the qualifying ones (treatment interest, timeframe, preferred branch), book into the appointment system the clinic already uses, and route anything clinical to a person. The AI never gives medical advice or discusses outcomes.
Replies are written to the same KKM advertising rules as the clinic’s ads, and enquiry data is handled under the PDPA 2010. We integrate with your existing booking system rather than selling clinic management software. See WhatsApp automation, AI chatbots for clinics and the aesthetic clinic marketing programme.
Marketing automation fails when it starts with the software. Mid-size businesses usually buy a platform, connect nothing and go back to spreadsheets. It works when it starts with the three places time and leads are being lost.
First: lead response. Every new enquiry from ads, the website or WhatsApp gets an instant reply, the qualifying questions and a booking link, and lands in one list with its source.
Second: hand-offs. Qualified leads are assigned to the right branch or salesperson automatically, with a reminder if nobody follows up within the hour.
Third: reporting. Ad spend, leads, bookings and sales pulled into one weekly view, so marketing automation also tells you which campaign produced revenue.
Where we step in: we design and build these flows on n8n, Make or bespoke code, whichever the build needs. See WhatsApp automation, custom software and performance marketing for the ads that feed them. Across our lead-generation accounts, cost per qualified lead fell 38% in the first 90 days after onboarding, from RM 85 to RM 53.
People searching for an AI agency in Malaysia usually mean one of three jobs. The work is better when one team does all three, because the leads the ads create are the ones the automation follows up, and the content AI assistants quote is the content your site publishes.
WhatsApp and lead follow-up, n8n, Make and Zapier workflows, and AI agents inside your CRM. See WhatsApp automation and marketing automation.
Getting your brand cited when buyers ask ChatGPT, Gemini, Perplexity or Google AI Overviews. See AI SEO (GEO) in Malaysia.
AI generative video and AI-assisted ad creative, made by the same in-house production team that shoots and edits your campaigns. See video production.
WhatsApp automation, AI automation, marketing automation and custom software aren't four separate purchases — they're one systems practice, built and billed as whichever combination your actual workflow needs.
Where the automation needs to live inside a system we build for you, not a workflow layered on top of one.
The official-API messaging layer this service's chatbot and reply flows are usually built on top of.
The broader CRM, ads and email automation practice this AI layer usually plugs into.
For F&B and restaurant brands specifically, the compliance surface (halal claims, Trade Descriptions Act, Food Act) and the budget shape both differ from other verticals — the detail is on our F&B advertising compliance page and our F&B marketing cost page.