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Flagship Case Active Project Construction · International

European construction company

Enterprise Knowledge System · Private engagement

International construction company specializing in wooden and stone construction, exporting to USA, Canada, and EU. 300+ documents scattered across drives, 15 min to find information. We fixed that in 4 weeks.

construction-sector project timeline: from chaos to structured AI system in 4 weeks
300+
Documents
36
API Functions
3
AI Assistants
4 wks
To Production

The Challenge

Knowledge scattered, AI potential untapped

The CEO needed a system that would structure all company knowledge — technologies, pricing, processes, response templates — into a single, searchable source of truth.

The system had to integrate with Google Workspace (Drive, Sheets, Calendar, Gmail), work on multiple devices with different access levels, and enable AI assistants to answer questions based on real company data.

Previous attempts with off-the-shelf AI tools fell short: ChatGPT didn't know the business, and manually searching through scattered documents took 15-30 minutes per query.

What We Built

Five interconnected systems

European construction company AI system architecture — Knowledge Base, AI Assistants, MCP Bridge, Access Control, Analytics
1

Corporate Knowledge Base

300+ documents structured across 11 categories. 3 access levels: EXECUTIVE, STAFF, PUBLIC. Single Source of Truth on Google Drive with MASTER_INDEX navigation.

2

3 AI Assistants

CEO Assistant, Sales Manager Assistant, Financial Agent — each with custom system prompts connected to KB. Answers in 3 languages (UA, RU, EN). Deployed on multiple devices.

3

MCP Bridge — 36 API Functions

Custom Google Apps Script bridge with 36 production functions connecting AI to Google Workspace: Drive, Sheets, Calendar, Gmail. CRM integration: 480+ leads, 14 pipeline stages.

4

Role-Based Access Control

3 access levels across multiple devices. EXECUTIVE (full access), STAFF (restricted — no finances, no margins), PUBLIC. Control through separate Project Instructions per role.

5

Dashboard & Automation

Looker Studio dashboard with key business metrics. Automated P&L reporting. Apps Script automation for data updates and daily reports.

Results

Before & After

Metric Before After Impact
Information search time 15 min 20 sec 45×
Client response preparation 2 hours 7 min 17×
New employee onboarding 5 weeks 2 weeks 2.5×
Contract preparation 3 hours 30 min
Structured documents Scattered 300+ unified
P&L reporting Manual Automated Auto

Timeline

4 weeks from kickoff to production

01
Week 1

Discovery & Audit

Analyzed existing knowledge sources, mapped data flows, identified gaps and opportunities.

02
Weeks 1-2

KB Architecture & Build

Structured 300+ documents across 11 categories with 3 access levels. Built MASTER_INDEX navigation.

03
Week 2

MCP Bridge Development

Built custom Google Apps Script API bridge with 36 functions: Drive, Sheets, Calendar, Gmail integration.

04
Week 2

AI Assistant Configuration

Configured Claude Desktop with custom system prompts, connected to KB, deployed on 3+ devices.

05
Weeks 3-4

CEO Training & Refinement

Hands-on training, feedback loops, refinement of AI behavior and knowledge base structure.

06
Week 4

Dashboard & Handoff

Looker Studio dashboard, documentation, troubleshooting guides, final handoff.

What Happened Next

The empowerment effect

After delivery, the client independently created company-wide SOPs in just 2 days. They then integrated n8n workflow automation on their own — without any developers.

This is what we build for: systems that don't just solve today's problem, but empower teams to keep extending and improving independently.

Technology Stack

Claude (Anthropic)
AI Platform
MCP (Model Context Protocol)
Integration
Google Apps Script
API Bridge
Google Workspace
Data Layer
Looker Studio
Analytics
Node.js
Runtime

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