Choose AI by workflow, not by model rankings
The choice: make the workflow the selection unit
Do not choose a model as an overall winner. For each specific workflow, choose an implementation path and document what that path must support: the intended use, required capacity, acceptable usage limits, connections to existing processes, data flow, cost per task, and an alternative in the event of an outage or restriction. This is an editorial recommendation based on the reader’s question, not a performance comparison between providers. The NIST passage requires the intended application scope to be specified and documented based on capability, context and AI system categorization. It also calls for risks and benefits to be mapped for all AI system components, including third-party software and data. The source therefore mainly supports an auditable decision-making process; it does not provide thresholds for capacity, price or permitted limits.
Assess risk and oversight before scaling
Do not relegate data risks and integration to a footnote after choosing a model. Describe which third-party software and data are part of the workflow, who reviews the output, and when the task must stop or be handed over to a human. The NIST passage refers to processes for human oversight that must be defined, assessed and documented in accordance with organizational policy. It also refers to a documented approach to the technical and legal risks of components, including the use of third-party data or software. This does not mean that every AI application is subject to the same legal obligations. The supplied EU passage specifically concerns guidelines enabling providers and deployers to assess whether a system is high-risk; according to that passage, the examples are not exhaustive and may change.
Use a decision register that enforces review
Use one register per workflow, including: task and intended scope; owner; selected model or vendor path; required capacity and known limits; data and connected systems; cost metric per task; oversight and escalation; fallback; and review date. This makes dependence on a single vendor visible as a business choice you can test, rather than an abstract risk. Start with an existing workflow that already affects real users or processes, and check the assumptions after a change in usage, integration or risk profile. For each workflow, record the task, owner, capacity and usage limit, data flow and integration, cost per task, oversight, fallback and review date. The supplied passages do not provide individual legal, financial or professional advice, and do not determine which vendor, price, capacity or legal classification is appropriate for a specific organization.
