What are the common risks and hidden dependencies in AI app development under a 90-day guarantee?
The main risks include hidden dependencies like data pipelines, model training environments, and third-party API stability that can consume the timeline before reaching production-ready code. Integration risks with existing cloud infrastructure or legacy systems often surface late, forcing difficult choices between cutting features or risking the guarantee. Additionally, deployment delays from staging environment provisioning or security approvals can threaten the timeline without touching core application code.