IT Operations Automation
Large enterprises could not see how employees actually used applications and business processes across thousands of SaaS tools, which made it hard to control shadow IT, rationalize licenses, and prioritize AI initiatives with the highest business impact.
Reported impact
Beamy revealed thousands of previously untracked applications, helped customers rationalize licenses and negotiate spend, and gave enterprises a fact-based way to choose among more than 1,000 candidate AI initiatives.
Beamy built an AI-driven business transformation platform on Google Cloud to reconstruct how people, technologies, and business processes actually interact inside large organizations. A browser extension captures real-time employee activity such as opening tickets, editing CRM fields, or validating invoices, then transforms those interactions into structured logs. Vertex AI models analyze those logs to identify process patterns across a sprawling application estate, while Cloud Run executes Beamy's serverless application services, BigQuery stores and analyzes large-scale behavior data, and Looker exposes the resulting insights through dashboards for business and IT leaders. This architecture lets customers such as Veolia see the gap between official inventories and real usage, negotiate software spend with evidence, and prioritize more than a thousand AI opportunities based on actual work patterns instead of assumptions.
A browser extension observes employee actions across enterprise applications, turns those events into structured logs, analyzes the logs with Vertex AI to reconstruct real business process sequences, stores the behavioral data in BigQuery, and serves prioritized insights to customers through Looker dashboards and Beamy's platform services.
Beamy also uses Cloud Run to execute its application services in a serverless architecture, BigQuery for large-scale data storage and analysis, and Looker to deliver actionable dashboards to its clients.
Beamy leverages Google Cloud to analyze real application usage within large organizations.
Beamy utilizes AI models deployed by Vertex AI.
The system uses a browser extension to observe real-time employee activity. Interactions (opening a ticket, modifying a CRM field, validating an invoice) are transformed into structured logs.
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.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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