Finger KI Wiki
Knowledge trapped in people's heads doesn't scale. We built an AI-powered wiki that thinks alongside the team.
Overview
Finger KI WIKI is a custom AI-powered knowledge platform built for Finger Beton, one of Germany's leading concrete systems companies. We transformed their scattered institutional knowledge—technical specifications, DIN standards, project history, sales methodologies—into an intelligent system that any employee can query in natural language.
The platform goes far beyond search. It serves as a personal assistant for sales teams, a training companion for new hires, a technical reference for engineers on job sites, and a business intelligence layer that connects knowledge to action—from bid proposals to client onboarding.
Achievement
"Our new employees now get up to speed in days instead of weeks—the AI knows what used to live only in our veterans' heads."
Key metrics
- 0 Reduction in time spent searching for technical specifications
- 0 Faster onboarding for new employees across departments
- 0 Time saved on bid proposal generation with AI-assisted drafting
Problem
Decades of deep expertise in concrete systems lived entirely in people's heads—buried in email threads, personal notes, and informal conversations. When senior experts left, the knowledge left with them. New hires shadowed for months. Sales teams assembled proposals by hand. Engineers on job sites called the office for specs they should have had at their fingertips.
Root causes
No single source of truth
Technical specs, DIN standards, project history, and sales playbooks lived in silos with no way to query across them.
Knowledge walked out the door
Retirements and turnover took irreplaceable institutional memory with them.
Every role felt the friction
Sales, engineering, HR, and field teams each had a different version of the same problem—too much time finding, not enough time doing.
Context & Research
"When our best engineer retires, we don't just lose a person—we lose 30 years of problem-solving intuition."
By 2025, generative AI had transformed knowledge work across industries—but construction remained largely untouched. Generic tools couldn't navigate DIN standards, understand precast terminology, or operate in German. We interviewed teams across every department and heard the same thing: people didn't lack information, they lacked the right answer at the right moment.
What we heard
Field workers needed hands-free access
85% said they'd use AI if they could query it by voice on job sites.
"It has to know our standards"
The most common requirement—domain accuracy over generic answers.
Embed it in existing workflows
Teams wouldn't adopt another standalone app. The AI had to live where work happens.
Solution
Seven integrated modules built on a single knowledge layer—vector search and domain-specific embeddings that understand construction terminology in German and English. The platform adapts its depth and format to the person asking: a quick product comparison for sales, the exact DIN spec for an engineer on site.
Finger KI WIKI transforms scattered expertise into a living intelligence layer—helping every employee think faster, work smarter, and build better.