Important information about AI-generated output, human oversight, high-impact decisions, privacy and responsible AI deployment.
AI-generated content, classifications, summaries, recommendations, predictions and extracted information can be inaccurate, incomplete, biased or outdated. AI output should not automatically be treated as fact or as a substitute for qualified human judgment.
For consequential workflows, appropriate validation, approval and exception handling should be designed into the process. Customers remain responsible for determining the level of review required for their use case.
Unless expressly agreed and appropriately controlled, InbuiltAI website content and general AI capabilities should not be used as the sole basis for medical, legal, financial, employment, safety, eligibility or other high-impact decisions.
Customers are responsible for defining permitted uses, applicable laws, approval thresholds, data controls and operational safeguards for AI systems deployed in their environment.
AI solutions should be evaluated against representative scenarios, edge cases and failure modes, with appropriate security, privacy, access controls, logging and monitoring. Model/provider behavior can change over time and should be managed as a production dependency.
Website examples, architectures, ROI models and use cases illustrate possible approaches. They are not guarantees of performance, savings, accuracy, compliance or business outcomes.
Legal requirements can vary by jurisdiction, customer contract, data type and deployment model. Contact InbuiltAI for questions about how these principles apply to your engagement.