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Case study · PlasterTEX

Delivered

One AI co-pilot for the whole operation, not just the sales reps

How we turned a scattered operation into one AI agent the whole team can use: from quotes to sales, from admin to the back office.

PlasterTEX is a fast-growing decorative-plaster manufacturer in Bali, supplying builders and villa projects across Indonesia.

PlasterTEX
Industry
Construction-materials manufacturing
Location
Bali, Indonesia
Engagement
Opportunity Assessment + Automation
Status
Built & delivered
01The challenge

PlasterTEX is growing fast, faster than its ways of working could keep up with. Over 200 leads sat in a spreadsheet no one had opened in weeks, and a single quote could take hours to turn around. Earlier tools never worked, because they did not line up with the real flows of work. The reference platform is WhatsApp. And the more the business keeps growing, the more the day-to-day depends on one person staying in the loop: data, stock, suppliers, approvals, projects and contacts. Whoever runs the business had become the bottleneck on its own growth.

02Our approach

We started with a paid Opportunity Assessment: four sessions, every workflow mapped, every manual task scored on the time it takes to carry out and its impact. One thread ran through all of it: not changing how the team works, but building something able to improve the tools they use and make them more efficient. So we designed and built a single bilingual agent, English and Indonesian, on one WhatsApp account. For customers, the agent answers questions, builds quotes, and routes sample requests to send out to clients. For the team: instant onboarding of new leads by voice note, pipeline updated in 30 seconds, stock and warehouse under control in real time, and an operational brief for leadership sent every morning. A single database acts as the one source of information and makes sure the right data is found and used.

03What we delivered
~60 sec
to generate a quote that used to take hours (target)
200+
dormant leads to reactivate into a working pipeline
~70%
targeted gain in sales-rep productivity
90%
of operations moving onto one WhatsApp agent

Everything the team needs runs through an AI agent that talks to them on WhatsApp. A rep on a new site, meeting a potential customer, sends a voice note and gets a quote back with up-to-date prices almost immediately. The owner asks for a digest of the team's day and gets it in chat without having to contact anyone. Leads are kept in order, updated and re-contacted at the right moment. A paid order becomes a job order immediately. The agent was set up to fit into everyday work without creating friction in the processes.

04The bigger picture

Every tool adopted before this one failed for the same reason: it asked people to change the way they work. This AI system instead reaches them through the same tool they already used, WhatsApp. The difference between automation that works at surface level and automation that works inside a real business lies exactly in the choice to integrate directly into the existing processes. The pipeline is kept active, the founder can work on growing the company instead of the back office, and the business scales without needing to hire new people.

Built to the specifications agreed with PlasterTEX.

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