# How PagerDuty Powers Intelligent Incident Response for The Golden State Warriors, UWM, and Arize by PagerDuty > Source: > Published: 2026-07-20 13:00:51+00:00 # How PagerDuty Powers Intelligent Incident Response for The Golden State Warriors, UWM, and Arize [PagerDuty](https://www.pagerduty.com/blog/author/pagerduty/)July 20, 2026 | 6 min read The best incident is the one your customers never notice. A payment clears, a stream doesn’t buffer, a loan closes on time—all because upstream, your team diagnosed and resolved the problem before it spread. But that’s getting harder to pull off. PagerDuty is already ahead of that curve—and customers are seeing compounding results. With [59% of organizations already actively incorporating AI into operational workflows](https://www.pagerduty.com/state-of-ai-first-operations/), applications are generating more signals (and more novel failure modes) than legacy monitoring systems were ever designed to handle. That means more noise for your team to sift through to reach the root of the issue. Meanwhile, customers get frustrated, and you creep closer to the limits of your SLAs. The enterprises winning in this era aren’t just collecting more signals. They’re making them actionable. PagerDuty’s Operations Cloud uses AI Ops—including intelligent triage, automated runbooks, and the PagerDuty SRE Agent—to accelerate alert triage, route incidents to the right responders with full context, and resolve routine issues automatically. Now, teams can detect, fix, and even prevent incidents before they impact end users. Here’s what the benefits look like for three PagerDuty customers. **Catch critical issues before they affect service** The Golden State Warriors run one of the most technology-forward operations in sports. At Chase Center, their home arena in the Bay Area, the fan experience spans online ticket sales, in-venue food and beverage transactions, and a website that serves more than 70,000 active users a month. Fans expect a seamless experience, so every system has to perform perfectly during the game, when there’s no option to delay service. Before PagerDuty, executives or fans flagged 80% of issues *before *the Warriors’ IT team ever knew about them. In one case, a bug buried in third-party code slipped through testing and reversed an entire category of transactions before anyone caught it the next day. With PagerDuty, their system now tracks logs across the Warriors’ digital platforms, surfaces irregular patterns, and alerts the team the moment something looks off—sending them to the people who can fix them before they cascade into a game day service failure. PagerDuty also helped the team map its incident response from end to end, defining escalation paths for both critical and non-urgent incidents. Each alert now gets prioritized, so the team applies the right level of response every time. “We need to be able to respond quickly, and PagerDuty allows us to inform the right person at the right time so that we’re able to intervene and get a resolution as fast as we can,” says Nick Manning, Senior Director of Consumer Product and Emerging Technologies at the Golden State Warriors. Now the team catches issues before executives or fans do, maintaining a seamless fan experience instead of scrambling to react. **Modernize systems for better communication** United Wholesale Mortgage (UWM) is ranked among the nation’s top mortgage lenders. When their service is disrupted, borrowers aren’t just frustrated—they’re delayed from closing on their homes. But for years, UWM’s incident response workflows actually got in the way of their mission. Before PagerDuty, brokers reported issues to the help desk, who then tracked down a few key people by email or text, then tagged the rest of the IT floor in Microsoft Teams (day or night). Each manual handoff burned critical minutes and fragmented context, leaving leadership in the dark. It was chaotic, exhausting, and ultimately unsustainable. Now, PagerDuty connects UWM’s ServiceNow and Microsoft Teams into an automated loop. Incidents route to the right subject-matter expert through escalation policies. Engineers can then acknowledge and act directly from Teams without context-switching. “With PagerDuty, we get the right context to the right people who can fix the problem at the right time,” says Jim Wallace, Operations Administrator at UWM. For Wallace, the change runs even deeper than speed: “[PagerDuty] is revolutionizing communication across IT.” Because disruptions to UWM’s broker-facing systems now get caught and resolved *before *they stall applications, loans keep moving. UWM now has an average close rate of 14 days—more than three weeks faster than the [38-day industry benchmark](https://mortgagetech.ice.com/resources/data-reports/may-2026-mortgage-monitor). **Build toward autonomous resolution** As AI agents move into production, they introduce failure modes that legacy monitoring systems weren’t built to catch. Hallucinations, model drift, and incorrect tool calls create subtle degradation in response quality. Without a system that treats AI quality drift as a high-priority incident, problems often reach customers (and impact business outcomes) before they reach the response team. Arize was built to close that gap. Their AI and agent engineering platform helps teams observe, evaluate, and improve AI agents in production by tracing every interaction, scoring outputs for quality, and tracking behavior over time. But detection is only part of the work. By integrating with PagerDuty, Arize can turn quality alerts into actionable guidance. Arize catches quality issues early to lower mean time to detection. PagerDuty gets each incident to the right person fast to lower mean time to resolution. When an Arize evaluation crosses a threshold, it fires an alert into PagerDuty, which routes it to the right responder with the context they need to triage. “Arize and PagerDuty together turn AI quality into a proactive operational discipline,” says Richard Young, Technical Director of Partner Solutions Architecture at Arize. The bigger payoff is what Young calls “self-improving” agents. Rather than shipping once and slowly degrading, agents connected to Arize and PagerDuty continuously improve with use. Every interaction becomes data, and that data informs the next version. **Turn raw signals into targeted action for the agentic era** The Warriors, UWM, and Arize had a problem many enterprises are facing right now: too much noise to act quickly. Across industries, PagerDuty is the layer that turns overwhelming raw signals into prioritized incidents and routes them to the right responder, with the right context. Problems get resolved upstream, before they reach the people who matter most. With PagerDuty, companies are turning fragmented data into intelligent action—and with every incident resolved, the platform gets smarter, compounding operational resilience over time. See how PagerDuty can help your team develop proactive incident response workflows. [Schedule a demo today](https://www.pagerduty.com/request-a-demo/).