enterprise

Licences are not adoption. The interviewer wants the real reasons people don't use the tool, and a plan that embeds AI into specific workflows with champions, measurement and honest pruning.

A principal-level question about competing when the core product's lead is temporary. The answer has to find durable advantages beyond the next benchmark: reliability, trust, ecosystem, products and enterprise depth.

Enterprise vendors have released models under MIT, Apache and non-commercial licences. Release when the model complements what you sell, pick the licence that matches the goal, and keep the workflow-tuned versions closed.

Choice wins deals and moves quality and data terms onto the customer's chosen provider. Offer a curated set per feature with one tested default, allow your customers' own models only where your evaluation gate passes, and show each provider's terms.

A RAG pipeline is the obvious first sketch. A strong answer starts with permissions instead, because one leaked salary document ends the product.

Plain language is easy to write and hard to guarantee. Let customers describe procedures in words, make money and identity checks deterministic steps, and require simulation tests before publishing.

Enterprise deals stall on this question. 'The provider doesn't train on our data' answers one of five different questions. The interviewer wants the full set and a clear answer to each.

A principal-level question about enabling speed inside strict risk management. The answer that scores is a tiered system that makes low-risk uses fast and high-risk uses rigorous, built on the bank's existing model-risk practices.

Model latency depends on input length, output length, load and the model itself, so a naive guarantee is either meaningless or impossible. The interviewer wants a guarantee that is defined precisely, measurable and backed by capacity.

Sovereign deployments combine product, infrastructure, security, policy and commercial questions. Principal answers separate what the customer needs (control, residency, continuity, local language) from what they ask for, and design a deployment model the company can sustain.

Regional capacity is fragmented capacity, and four providers charge about 10% for it. Price it, define exactly what you promise, and tell customers which models arrive late in their region.

Zero retention and abuse monitoring pull in opposite directions. Offer eligibility rather than a switch, automated review without storage, customer-held storage, and be honest about which models and features are excluded.