Databricks Genie AI Coworker for Telecom Finance

Databricks has developed Genie, an AI coworker for telecom finance. Genie uses a dynamic ontology to provide trustworthy, sourced answers to complex financial questions, grounded in the business's context. It aims to proactively surface anomalies missed by manual processes and deliver insights for trusted actions.

Genie assists telecom finance teams by answering questions related to capturing earned revenue, identifying risks of fraud and error in charges and settlements, and understanding drivers of customer churn. Its learning capabilities and ability to show its work provide a governed view of data for proactive intervention.

Genie learns the business, sharpens with each question, and traces figures to their source, ensuring accuracy and trust. It prepares finance teams to take action, such as recovering unbilled charges or making retention offers, turning individual fights against revenue leakage into a reinforcing mechanism.

Lumen Technologies is already using Genie, with thousands of employees in their CFO office leveraging it as a reasoning agent. This adoption has accelerated insights across billing, finance, and accounts payable, reducing the time for complex spend and invoice data retrieval from days to minutes through automated reconciliation.

Telecom revenue is earned in billions of small moments, and revenue leakage across unbilled services, fraud, and churn significantly impacts profitability. Finance teams face bottlenecks in reconciling data from disparate systems, delaying crucial decision-making and turning potential recoveries into write-offs. Agentic AI and context are presented as solutions to this challenge.