Pibit.AI

A question for the CIOs evaluating AI underwriting vendors right now: when your AI partner goes down, who eats the cost of that downtime, and have you actually run the math on what an hour of frozen intake looks like during your peak submission window? Just as businesses three decades ago pivoted to the internet, and that became a turning point for how companies fundamentally work, today's shift to AI layers also comes with its own set of challenges. On April 6 this year, Anthropic's Claude was down for roughly ten hours. In March, the same service had a string of capacity-driven outages that ran for days; on April 19, the Claude 4 API degraded, with 503 errors spiking out of West Coast data centers in the middle of the enterprise procurement cycle. PYMNTS called it the cracking of the five-nines standard. Not enough people in the AI procurement are talking about this, and it is the part that decides whether your platform holds up during the April 1 submission ramp into July 1 renewals or whether your underwriters spend that morning watching a frozen queue while the vendor's status page slowly updates. Most AI vendors selling into carriers and MGAs are reselling tokens with a workflow wrapper on top, which means their latency, throughput, and uptime are all downstream of decisions being made by an upstream provider they have no leverage over, and the SLA they put in your contract is a promise about something they do not actually own. We knew in 2020 that this problem would one day become a challenge. We have spent half a decade building for exactly this, and our multi-model approach and strong guardrails to mitigate downtime without even microsecond disruptions on the user end are engineering capabilities I often highlight. But from an industry standpoint, there are a few questions worth getting into your next RFP before signing anything. Questions like: • What is the multi-provider failover architecture, and when was it last tested under load? • What is the contractual remedy when uptime is missed during a peak submission window? • How does the vendor's infrastructure mature as your volume scales from a few hundred submissions a month into the tens of thousands? Reliability engineering is where the next eighteen months of vendor selection are going to be quietly won and lost.