CASE STUDYColombia — Construction

A construction firm's CEO, seeing every job site in real time.

WhatsApp foreman reports turned into a live P&L dashboard — so the CEO runs the business on data, not on calls.

CLIENT
Donado Arce y CIA SAS
View the dashboard
Donado Arce CEO operations dashboard — live P&L per job site across Colombia

BACKGROUND

Donado Arce y CIA SAS is a family-owned construction firm operating across multiple job sites in Colombia. The CEO had no real-time visibility into what was happening on each site. Foremen reported by WhatsApp — inconsistent messages, no structure, no traceability. P&L was assembled manually at end of month. Decisions were being made on incomplete data, a week or more behind reality. This is the project that opened the Impleia engagement.

THE CHALLENGE

01

Zero real-time visibility across job sites — the CEO learned about problems days after they happened.

02

Foreman reports came in as unstructured WhatsApp messages: photos, voice notes, freeform text with no consistency.

03

Month-end P&L took two to three days to assemble manually from disparate records.

04

No single source of truth — materials, labor, and progress data lived in different places with no integration.

THE APPROACH

We built toward where the data already lived: WhatsApp. Foremen didn't need to change their behavior — they kept sending messages the same way. An AI layer parses each incoming report, extracts structured data (materials used, labor hours, progress %, issues), and pushes it into a central database. A Next.js dashboard surfaces that data as a live P&L per job site, with project-level summaries for the CEO. Built and deployed as a proof-of-concept to unlock the full engagement.

WHAT WE SHIPPED

01

CEO Operations Dashboard

LIVE

Real-time dashboard showing P&L per job site, materials cost vs. budget, labor hours, and project progress. Built in Next.js, deployed to Vercel. Updates automatically as foreman reports arrive.

Status
LIVE
Stack
Next.js + Vercel
Update cycle
Real-time
02

WhatsApp Report Parser

LIVE

AI layer that reads incoming foreman WhatsApp messages — freeform text, photos, voice note transcripts — and extracts structured data: materials used, labor hours, progress percentage, and issues flagged. Pushes to the dashboard database automatically.

Input
WhatsApp
Output
Structured P&L
Manual entry
0

WHAT'S CHANGED

The CEO now has a single screen showing the real-time financial state of every active job site. Foremen changed nothing. The reporting overhead disappeared. The engagement is expanding.

THE TAKEAWAY

The best automation meets people where they already are. Asking foremen to fill out a form was never going to work. Parsing their natural WhatsApp behavior with AI and surfacing the result as a clean dashboard — that works. This is the Impleia model: identify where the data is, find the lightest path to structure it, and deliver a system the CEO can actually use.

Need visibility into your operation?

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