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H2O AI Super Agent(TM) is Added by AT&T to Power Enterprise Agentic AI. Jul 14, 2026 MOUNTAIN VIEW, Calif.-(BUSINESS WIRE)-H2O AI Super Agent(TM) 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(TM) 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. This new integration builds on a long-standing relationship between AT&T and H2O.ai focused on operationalizing AI in production environments where scale, latency, governance, and cost efficiency matter. On an average day, AT&T processes tens of billions of tokens across enterprise AI workloads and has increasingly adopted fine-tuned small language models (SLMs) to improve accuracy, optimize latency at scale, and reduce costs by up to 90%. "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. We see the opportunities to improve our employee and customer experiences, by deploying meaningful AI tools that drive business value and better serve our customers." Andy Markus Chief Data Officer at AT&T Moving beyond single agents to autonomous enterprise systems. 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 such as enterprise research, analysis, synthesis, and decision support into structured sub-tasks, deploying agents in parallel, and dynamically adapting workflows based on context. How AT&T will use the H2O AI Super Agent across the business. As part of the deployment, AT&T is using the H2O AI Super Agent to support workflows across customer experience, network operations, security, and risk management, including: * 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, response speed, and operational efficiency * Enterprise research, document intelligence, and content generation, enabling the agent-based RAG capability to "talk" to documents * Advanced analysis and visualization of structured data, including tabular, spreadsheet-based, network, and tower datasets * Expansion of the Ask AT&T platform, with new agent-powered capabilities and interoperable workflows across internal systems and APIs Enterprise-Ready and built for regulated environments. 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. "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. They are designed for traceable, high-fidelity execution across long-running business tasks on both private and public data." Sri Ambati Founder and CEO at H2O.ai The collaboration also includes the co-development of the H2O AI Feature Store, originally built to support AT&T's massive enterprise data ecosystem. Designed to help teams reuse, govern, and operationalize machine learning features across the enterprise, the platform addressed one of the most resource-intensive challenges in AI development: feature engineering. Beyond enterprise AI deployments, the collaboration has also included joint AI-for-Good initiatives, such as flood prediction research with Argonne National Laboratory, validating that AI-driven models can replicate complex physics-based simulations and accelerate scientific discovery. 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. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Chipotle, Workday, Progressive Insurance, and NIH. Through its AI for Good program, H2O.ai supports nonprofits, public sector agencies, and global institutions in advancing healthcare, education, disaster response, and environmental sustainability using agentic and predictive AI. H2O.ai partners include NVIDIA, Dell Technologies, Cisco, HPE, EY, Databricks, Snowflake, AWS, Google Cloud Platform, Azure, Oracle, Anthropic, OpenAI, VAT Data, and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures, and New York Life. Media contact.

An inside look at AT&T's mid-power mini macrocell Open RAN strategy. Open RAN adoption is on the upswing, with roughly 40 percent of network operators having meaningfully adopted the technology. Mobile network operators (MNOs) who have embraced this technology are seeing a significant number of advantages in terms of innovation, speed to market and profitability. Chief among the early adopters of Open RAN is AT&T. I recently sat down with Chad Archer, AT&T's Assistant Vice President for RAN Technology, to explore how AT&T is leveraging Open RAN to implement a mid-power mini macrocell strategy. As I've discussed in this blog before, outdoor small cells are foundational to modern RAN design. As MNOs work to densify existing 5G capacity and coverage in dense urban environments, suburban pockets and high-traffic hotspots, small cells are evolving to meet various deployment needs. Like small cells, mini macrocells (think higher power outdoor small cells) are small and compact enough to comply with many municipal zoning regulations, and can be deployed on lamp posts, inside shrouds, in/on street furniture and on building walls. And with Open RAN, MNOs have greater choice to select the right radios for the mini macrocell deployment environment. Why mid-power mini macrocells? Typical small cells use low-power radios, around 5W per port. To increase coverage and capacity, AT&T collaborated with 1Finity to design a network of mini macrocells that are best described as medium power - not quite the high power of a macrocell, but also not the low power of a traditional small cell - at around 30W per port for frequency division duplex (FDD) and time division duplex (TDD) radios as part of their densification deployment. With mid-power mini macrocell radios that are much stronger than the typical 5W per port, AT&T achieves not just capacity offload from existing macro deployments, but also densification for greater coverage and hotspot connectivity as well. How is AT&T deploying mini macrocells? To speed time to market as they densify their 5G network, AT&T is mounting the small cells on existing streetworks. These deployments might be anywhere from 12 feet to 30 feet off the ground, mounted on light poles, billboards or similar street furniture. In addition to having fiber and power available, AT&T required small, easy-to-install radios for the deployment. Another important consideration for this deployment was the selection of an Open RAN solution to integrate into the existing multivendor network. However, while there are a lot of low-power small cell offerings and high-power macro radios on the market, the 1Finity 44R14 and 44R26 mini macrocell radios offered a compact medium power solution. Similarly, the small form factor of these mid-power radios enables targeted deployment scenarios when needed in certain cities, such as fitting two radios inside a cooling shroud without overheating. Why is Open RAN compliance important? Prior to O-RAN standards, switching to another radio provider required either a complete rip and replace project, or waiting for the next G cycle, (e.g., 3G, 4G, 5G, 6G), which traditionally has been a ten-year cycle. But with Open RAN, AT&T can introduce a new radio unit (RU) provider and still use their existing distributed unit (DU) provider. Likewise, introduction of a new radio vendor used to require bringing in a proprietary element management system (EMS) and operations support system (OSS). Since that is not the case with Open RAN, AT&T is able to choose exactly the right radio for the environment from any O-RAN compliant vendor, and they can fill in portfolio gaps where needed. By leveraging Open RAN, the industry fosters healthy competition, driving improvements not just in performance and energy efficiency, but also in size and weight. Furthermore, this approach strengthens supply chain diversity, allowing AT&T to pivot if a particular vendor or region encounters operational headwinds. Mini macrocell TCO advantages In addition to the economic advantages of Open RAN, the broader mini macrocell layer offers its own set of competitive financial advantages. The compact form factor and mid-power capabilities of the mini macrocell radio translate into meaningful total cost of ownership (TCO) benefits as well, delivering substantial advantages. With the compact mid-power units, AT&T has the flexibility to place nodes exactly where they are needed, provided there is access to power and fiber. This allows strategic traffic offloading, which enhances the performance of both the macro and small cell layers, ultimately resulting in a superior customer experience. From an engineering standpoint, that flexibility is vital. The smaller footprint of these radios simplifies the zoning process and ensures optimized placement for peak performance. Compared to traditional low-power alternatives, the mid-power approach provides greater coverage and capacity to cover a given area with fewer total nodes. Fewer nodes leads to significant operational savings, including reduced power consumption and lower leasing expenses. Open RAN Integration learnings As they integrate their network of Open RAN mid-power mini macrocells, AT&T has gathered some important learnings. First, because fewer sites are required due to strategic placement of the small, lightweight radios, AT&T is able to speed their deployment timeline, bringing more sites to market more rapidly. This level of efficiency is vital in today's mobile network environment, given the level of zoning requirements. Typically, MNOs would roll out specific vendors in different geographies; however, because of the way that AT&T fully integrates multiple vendors in their Open RAN network, they are able to pursue a unique scenario with different vendor radios connected to the same DU via an open fronthaul. Multivendor SMO advantages The Service Management and Orchestration (SMO) framework outlined in the Open RAN standard enables multivendor control of RAN functions over standard interfaces. This provides AT&T's network technicians and operations team a single platform to manage multivendor radios in their network. With the development of targeted radio applications, or rApps, built on top of the SMO AT&T is able to create new apps that can be 'ported over' and quickly launched. Plus, as more artificial intelligence (AI) tools and autonomous network capabilities become available, the network can be quickly upgraded - moving at the speed of software. Technicians will be able to not only get a view of each site, but they can also then quickly zoom out for a complete overview of all the sites in the network, allowing the operations team to optimize performance for the entire city, and maximize customer experience from the small cell to a macro level. In a nutshell, all of these benefits stem from a mature Open RAN implementation, enabling AT&T to completely control their network and optimize it for the best possible performance 24x7x365. In fact, a recent benchmark study demonstrated that AT&T's Open RAN deployment in Dallas provides outstanding performance, setting the stage for widespread deployments later this year to providing greater coverage and capacity in targeted areas.