What challenges did IT-Development face before AI implementation?

Manual review of thousands of generator-meter photos made maintenance data extraction slow, expensive, and error-prone. Extracting critical financial information from complex legal PDF lease agreements was cumbersome and slowed scalable client onboarding. Client-managed legacy infrastructure created long lead times, downtime risk, and limited IT-Development’s ability to resolve issues directly.

What was the impact of the AI solution?

80% reduction in cost of developing AI features with Gemini. Client solution setup reduced from weeks or months to just a few hours. Onboarding accelerated from weeks to days. Automated workflows sped client work, reallocated staff to more productive tasks, and improved accuracy.

Source

GCPProductionEvidence: Medium65/100

IT-Development automates back-office data extraction and legal lease processing with Gemini on Google Cloud

Use case typeDocument processing automationUpdated May 28, 2026

IT-Development moved its ClickOnSite platform to Google Cloud to improve reliability and scale its software-as-a-service delivery for telecom clients. The company uses Gemini to analyze technician photos, extract operational figures, and automatically enter maintenance data into ClickOnSite. It also uses Gemini to pull critical financial information from complex legal PDF lease agreements.

Organization: IT-Development
Industry: Tech & Comms
Location: France
Published: May 2026

Reported outcomes

−80%

AI feature development cost reductionCost savings

−99%client solution setup time−86%onboarding time

Strategic outcomes

Cost efficiencyAutomated back-office data extractionOther strategic outcomeImproved data accuracyCustomer experience & trustMore dependable client service deliveryMarket & geographic expansionInternational expansion readiness

Catalog median for cost savings deployments: −40% across 177 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

AI feature development cost reduction: 80% decrease

Google Cloud Customer StoriesMay 28, 2026Customer storyExplicit claimMedium evidence strength

80% reduction in cost of developing AI features with Gemini

Normalized claim

Client solution setup time: 99% decrease

Google Cloud Customer StoriesMay 28, 2026Customer storyInferred claimMedium evidence strength

it can now set up an enterprise client solution in just a few hours, accelerating client onboarding from weeks to days

Normalized claim

Onboarding time: 86% decrease

Google Cloud Customer StoriesMay 28, 2026Customer storyInferred claimMedium evidence strength

accelerating client onboarding from weeks to days

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: IT-Development
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Stories

The company uses Gemini to analyze technician photos, extract operational figures, and automatically enter maintenance data into ClickOnSite

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Document processing automation
2Workflow automation
3Onboarding automation

Manual review of thousands of generator-meter photos made maintenance data extraction slow, expensive, and error-prone.
Extracting critical financial information from complex legal PDF lease agreements was cumbersome and slowed scalable client onboarding.
Client-managed legacy infrastructure created long lead times, downtime risk, and limited IT-Development’s ability to resolve issues directly.

Migrated the platform to Google Cloud and standardized deployment on Compute Engine, Persistent Disk, and Google Kubernetes Engine.
Used Gemini to analyze images from field technicians, extract operational figures, and automatically populate ClickOnSite.
Used Gemini to extract key financial information from legal PDF lease documents and automate back-office processing.

Technologies

Gemini Compute Engine Persistent Disk Google Kubernetes Engine

80% reduction in cost of developing AI features with Gemini.
Client solution setup reduced from weeks or months to just a few hours.
Onboarding accelerated from weeks to days.
Automated workflows sped client work, reallocated staff to more productive tasks, and improved accuracy.

Architecture

IT-Development migrated its ClickOnSite software to Google Cloud, using Compute Engine, Persistent Disk, and Google Kubernetes Engine for a reliable and scalable SaaS platform. Gemini processes technician photos and legal lease documents to automate back-office data extraction and workflow entry.

Sources & evidence1

Evidence: Medium65/100Evidence strength