OpenAI & Anthropic to Amazon Bedrock Fit Check

Organizations are increasingly adopting generative AI across multiple teams and use cases, often using a mix of providers such as OpenAI, Anthropic, and others. This can create fragmented environments, rising costs, limited governance, and challenges scaling beyond initial pilots into production. The Compass UOL Bedrock Assessment Fit Check is a rapid, system-driven engagement designed to evaluate current GenAI usage and identify where Bedrock can improve cost efficiency, governance, and production scalability. This is not a traditional consulting assessment. It is a fast, low-friction entry point that provides immediate insights and enables clear next-step decisions. Buyer Challenges:* Rising costs across multiple GenAI providers (OpenAI, Anthropic, and others) * Limited governance, visibility, and usage controls, * Difficulty scaling GenAI pilots into production,* Need to consolidate GenAI workloads onto AWS. Delivery Model - The engagement follows a simple three-step process:. 1. Questionnaire – Customer completes a short self-paced questionnaire (approximately 5 minutes) 2. Automated Assessment Report – A report is generated with key findings, usage insights, and prioritized recommendations 3. 30-Minute Expert Review – A complimentary session with a Compass UOL AI/Cloud SME to validate results and discuss next steps This delivery model minimizes customer effort while quickly producing actionable results.Assessment Highlights: * Evaluation of current GenAI usage, vendors, and cost drivers, * Identification of high-impact optimization and migration opportunities, * Initial assessment of governance, security, and architectural considerations, *Recommendations aligned to Amazon Bedrock adoption strategies, * Guidance on optimization, migration, or production-scale implementation paths. Key Questions Addressed: * Which OpenAI and Anthropic workloads should be optimized, transitioned, or migrated to Amazon Bedrock? * Where can governance, visibility, and operational controls be improved? * What is the fastest path to move GenAI initiatives from pilot to production on AWS?