Choose an AI provider based on demonstrable resilience, not rumours

By Pascal Bouman··3 min read
Dutch software engineer viewing an API status dashboard with red alerts on several monitors in a modern Amsterdam tech office.

Treat provider selection as a testable production decision

The passages say nothing about the actual capacity, availability, communication or pricing of Anthropic, other API providers or self-hosted models. They therefore do not support a source-based conclusion that a proprietary API or open-source self-hosting is currently better, cheaper or more reliable. The supported decision is this: assess, for each production workflow, whether the service continues to perform under different conditions, and keep that assessment current through monitoring. NIST defines robustness as the ability to maintain performance levels under a variety of circumstances and identifies ongoing testing or monitoring as a way to assess deployed AI systems. A provider route therefore remains in use only as long as the agreed metrics and fallback continue to work.

Map the entire availability chain against the workflow

In production, availability is not just a model property. NIST identifies the confidentiality, integrity and availability of the system and its training and output data, alongside the security of the underlying software and hardware, as overlapping risks. Therefore, define for each workflow what constitutes an outage: no response, slow output, inaccessible data, a failed integration or a fallback that cannot be executed safely. Assign an owner to review the outcomes. This prevents a general uptime promise from being confused with the specific risk of the workflow coming to a halt.

Developer office with a decision tree for choosing an AI provider, sticky notes and a cost-calculator spreadsheet.

Complete a provider card and review it after an incident

For one critical workflow, use this provider card: document the owner, performance metric, data and infrastructure dependencies, fallback route, incident threshold and review decision for each workflow. After an incident, record what failed, which control should have detected it and what decision follows. This lets you compare an API and self-hosting against the same requirements, management burden and recovery route, without making an upfront claim about cost or reliability. The supplied passages do not support statements about Anthropic, specific uptime, quotas, prices or the tipping point at which self-hosting becomes cheaper or more reliable. Your own workload, contract and risk data are therefore needed for costs, contracts, capacity and legal viability.

Server room in a Dutch data centre with rows of racks, one rack showing an orange warning light.

Further reading

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