AWS Generative AI Competency
Amazon Bedrock Consulting
Implement generative AI with Amazon Bedrock: RAG, agents, fine-tuning, and guardrails. AWS Partner with Generative AI Competency and proven results.
The challenge
Going from proof of concept to production with generative AI
Most companies can build a generative AI prototype quickly, but struggle taking it to production: enterprise data integration, latency, inference cost, data security, and governance. Amazon Bedrock solves the infrastructure, but implementing it correctly requires experience with RAG, agents, Knowledge Bases, and guardrails.
Who it's for
Companies implementing generative AI on AWS
Companies already using or planning to use AWS that want to implement generative AI for automation, customer service, document analysis, or content generation. Ideal for teams that need help going from prototype to production with Bedrock.
Bedrock services
How we implement Amazon Bedrock
RAG with Knowledge Bases
Retrieval-Augmented Generation with Amazon Bedrock Knowledge Bases. Connect language models to your enterprise data in S3, databases, and APIs for precise, contextual answers.
Bedrock Agents
Autonomous agents that execute complex tasks: query systems, process documents, and make decisions. Integrated with enterprise APIs and Knowledge Bases.
Guardrails and governance
Bedrock Guardrails to control topics, filter content, and prevent hallucinations. Governance with CloudWatch, CloudTrail, and per-model cost control.
Fine-tuning and cost optimization
Custom model training and fine-tuning to improve accuracy for your domain. Cost optimization with model selection, caching, and batch inference to reduce inference waste.
35%
inference cost reduction in a real case
250+
launches on AWS
GenAI
AWS Generative AI Competency
Related guides
Explore generative AI and data on AWS
About Elevata
Your AWS partner for Amazon Bedrock Consulting
Elevata is a consulting company specialized in helping your business tap into the full potential of AWS. Whether it's generative AI, modernization, or migration, our solutions are built to support efficient, sustainable growth. As an AI-native AWS Advanced Partner, we bring deep AWS expertise to help you adopt generative AI and build secure, scalable cloud environments aligned with your business needs and focused on outcomes you can sustain and build on over time.
More about usFrequently asked questions
What do people ask about Amazon Bedrock Consulting?
What is Amazon Bedrock?
Amazon Bedrock is a managed AWS service that provides access to leading language models (Claude, Llama, Titan) via API. It includes Knowledge Bases for RAG, autonomous agents, guardrails, and fine-tuning, all without managing GPU infrastructure.
Do I need AI experience to use Bedrock?
No. Bedrock abstracts the ML infrastructure. Our team handles the technical implementation, including RAG, agents, and integration with your data. Your team only needs to define use cases and validate results.
How much does it cost to implement Bedrock?
Cost depends on the model and usage volume. Smaller models like Haiku cost cents per call. Elevata optimizes costs with model selection, caching, batch inference, and Knowledge Bases that reduce unnecessary tokens.
Is my data secure with Bedrock?
Yes. Amazon Bedrock does not use your data to train models. Data is encrypted in transit and at rest. With VPC endpoints, no data transits the public internet. Guardrails add control over topics and content.
Next step
Start your Amazon Bedrock project
Schedule a conversation to discuss your generative AI use cases and how Amazon Bedrock can solve them.