AI-Orchestrated Quality Review at Scale

EU HQ’d Real Estate Benchmarking X Scalabl

AI-Orchestrated Quality Review at Scale

From 12 Weeks to <2 Weeks | 3x Cost Savings | ≥98% Accuracy

The Challenge

A leading European real estate benchmarking platform was facing operational gridlock

2,000+ institutional investors
120,000+ multi-format documents across multiple languages
260,000+ data metrics reviewed manually
A 12-week QC bottleneck slowed delivery
Manual validation blocked innovation and premium product offerings

The Scalabl Solution

Scalabl deployed a multi-layered AI architecture tailored to high-volume, multilingual, audit-grade environments

Automated document ingestion & language detection
Multi-LLM model routing based on document type and language
Prompt-engineered evidence extraction and exception handling library
Human-in-Loop QA with targeted spot-checks and live prompt tuning
Automated data reconciliation with investor inputs; discrepancies flagged instantly

Key Enablers

Model routing per document type/language
Governed prompt library
Full audit trail (Source, field lineage)

The Impact

Metric

Before

After

Impact

Cycle Time

Before

8–12 weeks

After

< 2 weeks

Impact

~80%

Annual Cost

Details

3x+ potential savings when used across all benchmarks

Accuracy

Before

Not available

After

>= 98%

Impact

Anomaly detection and Human-in-loop for high quality

Documents processed

Before

Manual

After

120k validated with Data platform workflow and AI

Impact

Real-time

Upside

Before

Once a year Benchmarking

After

Real-time dynamic benchmarking

Impact

Higher Revenue potential for Client: New premium analytics; Scalable across benchmarks

The Outcome

A complete reinvention of the client’s benchmarking process:

Real-time
High-margin
Scalable

Enabled premium analytics and set the foundation for next-gen investor services.