AI-Driven quality control system for Tek-Zence's technical real estate reports

The image of the MVP developed for Tek-Zence

We developed a custom AI-driven platform for Tek-Zence to automatically detect errors, gaps, and inconsistencies in Tillståndsrapport.

The solution was designed to help Tek-Zence scale its document review process while maintaining high standards of quality, compliance, and accountability across the entire team.

The Challenge

Reviewing complex technical reports is time-consuming and error-prone.
As the volume of Tillståndsrapport grows, ensuring consistency, completeness, and accuracy becomes increasingly difficult — especially when multiple people are involved.

Tek-Zence needed a smarter way to:

  • Validate reports before delivery
  • Reduce human error and missing information
  • Track document quality over time
  • Monitor individual and team performance

The Solution

Hubstic built an end-to-end AI platform that automates report analysis and turns document review into a structured, data-driven process.

The system analyzes each report and highlights:

  • Errors
  • Missing sections or information
  • Warnings
  • AI-generated recommendations

All documents are securely stored, reviewed, and tracked in a single centralized workspace.

Key Features

AI-Powered document reviewer.

AI-assisted document review
Advanced language models combined with a Retrieval-Augmented Generation (RAG) pipeline analyze reports against internal standards and contextual knowledge.

Technical document storage system.

Centralized storage & revision history
All Tillståndsrapport are uploaded, reviewed, and archived, creating a clear and auditable workflow.

Employee performance management dashboard.

Performance monitoring dashboard
Managers can access a simple, visual dashboard showing:

  • Number of reviewed documents
  • Errors, gaps, and warnings per report
  • Individual and team performance metrics

This enables continuous improvement based on real data.

Technology Stack

  • Next.js for a fast, scalable frontend
  • Supabase for database, authentication, and storage
  • GPT & Claude models for document analysis
  • Semantic embeddings for contextual understanding
  • Cloud-first architecture designed to scale

Business Impact

The platform helps Tek-Zence:

  • Reduce review time
  • Improve report quality and consistency
  • Minimize compliance risks
  • Gain visibility into team performance
  • Make better decisions based on measurable insights

Built the Hubstic Way

This project reflects Hubstic’s approach to AI:
practical, tailored solutions that integrate seamlessly into real business workflows.

We don’t build AI for demos, We build systems that teams actually use.