How InterWiz reduced AI costs by 90% with Amazon Bedrock

This article describes how InterWiz, an AI-powered recruitment company, reduced AI costs by 90% and improved performance by migrating to Amazon Bedrock with AWS Partner Emumba's guidance.

• Migrated from GPT-4 Turbo ($0.25/interview) to multi-model architecture ($0.025/interview) using Claude and Llama
• Achieved 55% latency improvement (850ms to 450ms) and maintained 99.9% uptime with automatic fallback
• Used Emumba's seven-phase migration framework covering assessment, model evaluation, prompt optimization, and progressive rollout
• Applied prompt caching and intelligent prompt routing to reduce costs up to 90% and latency up to 85%
• Completed zero-disruption migration in 3 months, enabling profitable scaling to 10,000 monthly interviews

The migration demonstrates how multi-model flexibility on Amazon Bedrock provides cost predictability, strategic model choice, and faster adoption of new foundation models compared to single-provider architectures.