According to @elevenlabsio, AI-powered traffic control enables teams to safely test new software versions by routing a specific share of user traffic to experimental versions while maintaining a stable main version. This approach allows businesses to perform precise A/B tests to determine which AI model or application version delivers superior performance before committing to a full deployment, minimizing risk and optimizing user experience. The method is increasingly adopted in AI-driven SaaS and product development workflows to ensure reliable outcomes and data-driven decision making (source: ElevenLabs @elevenlabsio, Dec 18, 2025).