You are concentrated on Anthropic. When Claude has an outage or deprecates your model mid-quarter, what happens to my board meeting?

The full executive answer

Your board meeting proceeds, and here is the mechanical chain that makes that true. First, most of what a board consumes is already generated and stored — insights are persisted artifacts, not live model calls, so an outage cannot take existing decision material off the screen. Second, for new generations there is automatic cross-provider failover baked into the engine: if the Anthropic call fails, the same request runs against OpenAI’s GPT-4o with the same schema enforcement and the same validation gates, and the switch is stamped in the audit log — a circuit breaker even stops hammering a failing provider and routes around it for a cooldown window. This is not a disaster-recovery document; it is the ordinary code path, exercised whenever a provider hiccups.

Third, the deterministic layer — assessments, evidence maps, forecasts, the causal analytics — involves no external model at all and keeps working through any AI-provider event whatsoever. On deprecation rather than outage: every model is resolved through configuration against a governed registry, so a model retirement is a config change plus a forced governance entry, and the cache fingerprint ensures old-model outputs are never silently passed off as new-model ones. Honest residual concentration: both frontier providers are US companies and the fallback tier is thinner than the primary — full multi-region and additional-provider diversity is roadmap, priced against real enterprise demand. But single-provider failure is already an absorbed event, not an incident.