H2O AI Super Agent™ is now being used by AT&T in its next phase of agentic AI initiatives and Ask AT&T, deploying autonomous agentic capabilities in workflows across customer experience, fraud prevention, field operations, enterprise research, and intelligent automation. The H2O AI Super Agent™ enables AT&T to orchestrate autonomous deep research agents, enterprise-grade retrieval-augmented generation (RAG) pipelines, predictive AI systems, and fine-tuned SLMs within a unified architecture designed for enterprise execution.
AT&T deploys H2O AI Super Agent across customer experience, fraud prevention, and field operations.
AT&T processes about 45 billion tokens per day across enterprise AI workloads.
Fine-tuned SLMs reduce costs by up to 90%.
Multi-agent architecture orchestrates predictive, generative, and agentic AI.
Supports sovereign AI deployments including air-gapped and on-premises.
H2O.ai is trusted by more than half of the Fortune 500.
At the core of the H2O AI Super Agent is H2O.ai's convergence of agentic, generative, and predictive AI, combining large language and reasoning models with purpose-built, fine-tuned SLMs and predictive engines. This multi-agent architecture enables agents to reason over structured and unstructured data, make predictions, and execute decisions within end-to-end enterprise workflows. Rather than operating as a single executor, the H2O AI Super Agent acts as an orchestrator—decomposing high-level objectives into structured sub-tasks, deploying agents in parallel, and dynamically adapting workflows based on context.
Andy Markus, Chief Data Officer at AT&T, stated: "At AT&T, we operate AI systems at enormous scale, processing about 45 billion tokens per day across complex environments, including customer and network operations, fraud prevention, and enterprise workflows. As our AI initiatives expand, we need to reduce operational complexity, improve reasoning across separate systems, and deploy lower-latency, cost-efficient AI with enterprise-grade governance. H2O AI Super Agent helps us orchestrate predictive AI and autonomous agents in a scalable architecture built for production."
AT&T is using the H2O AI Super Agent to support workflows across fraud prevention and financial crime detection using predictive and agentic intelligence to identify anomalies and reduce risk; customer experience and field operations intelligence leveraging fine-tuned language models to improve resolution quality and response speed; enterprise research, document intelligence, and content generation enabling agent-based RAG capability to "talk" to documents; advanced analysis and visualization of structured data; and expansion of the Ask AT&T platform with new agent-powered capabilities.
The H2O AI Super Agent is designed for enterprise production from the ground up, with embedded risk controls, audit trails, and governance. For regulated environments, H2O.ai supports sovereign AI deployments, including air-gapped and on-premises configurations, allowing organizations to deploy agentic AI within their own infrastructure while maintaining full control over data, models, and execution.
Sri Ambati, Founder and CEO at H2O.ai, stated: "AT&T stands out as one of the most advanced enterprise AI organizations in the world – we are excited to be powering thousands of users and agents on Ask AT&T. H2O AI Super Agents are sophisticated coding agents with accurate tool calling, orchestrating deep research, reasoning, predictive intelligence, and purpose-built small language models."
About H2O.ai
H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500.
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