How Beamy Uses Google Cloud to Drive Enterprise AI Transformation
Beamy, a French technology scale-up, built its AI-driven Business Transformation Platform on Google Cloud—using Vertex AI, BigQuery, Cloud Run, and Looker—to give enterprises visibility into how employees actually use applications across their IT landscape. Deployed at organizations like Veolia, the platform uncovered 6,000+ applications beyond official IT inventories and helped prioritize over 1,000 AI initiatives based on real usage patterns.
Impact
6,000+ applications discovered beyond officially tracked IT inventory (Veolia)
1,000+ AI initiatives prioritized based on actual employee usage patterns
Billions of unique behavioral data points processed through Vertex AI
Challenge
Large enterprises lacked visibility into how employees actually used applications across their IT landscape, creating a gap between official application inventories and real-world usage that blocked effective software rationalization, shadow IT governance, and strategic AI investment prioritization.
Solution
Beamy built a Business Transformation Platform on Google Cloud using Vertex AI for scalable model deployment, BigQuery for large-scale behavioral data analysis, Cloud Run for serverless application execution, and Looker for client dashboards—processing billions of usage data points to reconstruct business processes and surface actionable intelligence.
Tools & Technologies
What Leaders Say
“The richness of Google Cloud's managed services, especially Vertex AI, is a game-changer: it allows us to deploy and run models at scale without the operational complexity of infrastructure.”
“We thought we had a catalog of about 4,000 applications; Beamy revealed that over 10,000 solutions were actually being used across the company.”
Sign up to read complete case studies, access detailed metrics, and unlock all use cases.
Full Story
In large organizations, digital transformation hits a major roadblock: truly understanding how work actually gets done. With the rise of AI and SaaS, technology adoption decisions are increasingly made at the department level, creating a blind spot between what exists in the official IT inventory, what teams actually use, and what drives business value.
Beamy, founded in 2017, built an AI-driven Business Transformation Platform to address this gap. The platform uses a browser extension to observe real-time employee activity—opening tickets, modifying CRM fields, validating invoices—and transforms these interactions into structured logs. AI models then reconcile events to reconstruct business process sequences across the entire application estate, revealing the living map of an organization's digital operations.
To deliver this analysis at enterprise scale, Beamy built its infrastructure on Google Cloud. Vertex AI handles model deployment and inference, managing resources dynamically without requiring Beamy to manage AI infrastructure directly. Cloud Run executes application services in a serverless architecture. BigQuery provides large-scale data storage and analysis across billions of behavioral data points. Looker delivers actionable dashboards to clients.
"The richness of Google Cloud's managed services plays a decisive role: it allows us to put our models into production and operate them at scale without the operational complexity of infrastructure," says Andréa Jacquemin, Founder and CEO of Beamy. "Vertex AI facilitates model deployment, manages inference automatically, and dynamically scales resources."
At Veolia—a major European industrial group—the impact was immediate and striking. Veolia expected a catalog of about 4,000 applications; Beamy revealed over 10,000 solutions were actually in use. Beyond the initial discovery, Beamy enables Veolia to rationalize software licenses based on actual usage patterns, achieving near-immediate ROI, and to strategically prioritize which of 1,000+ identified AI initiatives to deploy first based on where employees actually spend their time.
Amazon Bedrock