ADM Customers: How Real Teams Are Moving from Firefighting to Autonomy

In today's high-stakes data environment, companies are turning to Agentic Data Management (ADM) to improve incident response, manual reconciliation, and governance. Powered by AI agents, ADM detects problems, diagnoses, and resolves them in real time, reducing mean time to resolution from 6 hours to 20 minutes and improving engineering escalations by 70%. Various industries, including logistics, financial services, and retail, have adopted ADM to address challenges such as pipeline failures, data quality issues, and compliance pressure. With ADM, customers are able to automate tasks, improve trust in their data, and gain early access to new agent capabilities. By joining the shift towards modern enterprise data management, companies can deliver intelligence and autonomy to their data teams.

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