Hiring an AI Development Company in the USA: What to Actually Check in 2026
Ask for production work, not demos
Almost any vendor can show an impressive AI demo. What matters is whether they've shipped models into production systems that handle real user traffic, real data volume, and real edge cases. Ask specifically for case studies where the AI feature has been live for at least 6 months, and what changed after launch based on real usage.
Understand where your data actually goes
US clients — especially in healthcare, finance, and legal — need clear answers on data residency, whether models are fine-tuned on your data in isolation or shared infrastructure, and whether the vendor uses your data to improve models for other clients. Get this in writing in the contract, not just verbally.
Time zone overlap matters more than people admit
AI projects need fast iteration — a model that misclassifies something needs a same-day fix, not a 24-hour turnaround. Look for vendors with dedicated hours overlapping US business hours (EST/PST), not just 'we'll respond within 24 hours.'
Post-launch monitoring is not optional
AI models drift — performance degrades as real-world data shifts away from training data. A serious AI partner should include model monitoring, retraining triggers, and clear SLAs for accuracy degradation, not just a one-time delivery and handoff.
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