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Carriers already run a fraud stack, a contact center, and a network operations center, and none of it closes the gap between what a model predicts and what a system can act on. Predictive, generative, and agentic AI that works the call, the alert, and the ticket, in production.
“We returned 2X ROI in free cash flow on every dollar we spent on generative AI last year.”Andy MarkusSVP and Chief Data & AI Officer, AT&T
Device fraud, SIM swaps, and subscription scams evolve faster than a rules engine can be retrained by hand, and the loss lands on the carrier's own balance sheet before the pattern is written. Score every line and transaction in real time, and work the alert before the number is gone.
Use the H2O AI platform to score fraud risk with predictive models and put an agentic investigator on everything that trips, replacing brittle rules and a slowly evolving ML approach. It runs sovereign inside your own perimeter, and every decision carries a reason code you can defend.
Tens of millions of calls a year outpace the headcount to handle them, each one touching backend systems no agent has time to reconcile, while the churn you can predict sits on a retention list nobody owns. Answer the call and save the customer while the moment is still live.
Use the H2O AI platform to classify and route calls with fine-tuned small language models, then let agents resolve and sync the backend systems without a human handoff. It scores churn and next-best-action on the same customer everywhere, and plugs into the channels you already run.
Network and field teams spend their hours on manual telemetry correlation, ticketing, and incident write-ups instead of fixing the network, and non-technical teams stay blocked from their own data because every question needs an analyst. Set agents on the whole path instead, end to end.
Use the H2O AI Super Agent to orchestrate network operations, field dispatch, and data access into autonomous, multi-agent pipelines that a human never has to babysit, with text-to-SQL that answers a business question in plain language. Governed and auditable, it runs in production, not just a demo.
Each part of the business has its own problems, data, and rules. Start with your department.
H2O AI classifies and routes calls with fine-tuned small language models, then lets agents resolve issues and sync backend systems without a human handoff. AT&T cut call-center cost 90% and reached 3x faster resolution with H2O AI.
