AWS Generative AI Competency
AWS Generative AI Consulting
From strategy to production: we implement generative AI with Amazon Bedrock and SageMaker. AWS Partner with Generative AI Competency and real cases with 35% inference cost reduction.
The challenge
Turning generative AI potential into business results
Generative AI promises to transform operations, but most initiatives get stuck in POCs that never reach production. The challenges: identifying use cases with real ROI, integrating with enterprise data, controlling inference costs, and ensuring governance. An end-to-end strategy connects business vision to technical implementation.
Who it's for
Companies that want to implement generative AI on AWS
CTOs, VPs of Engineering, and data leaders who need a clear generative AI strategy. Companies that have already done POCs and want to scale, or those just starting and wanting to avoid common pitfalls.
GenAI services
Our generative AI framework
Strategy and use case discovery
Structured workshop to identify generative AI use cases with highest ROI. Prioritization by business impact, technical feasibility, and data availability. Phased implementation roadmap.
Implementation with Amazon Bedrock
RAG with Knowledge Bases, autonomous agents, guardrails, and enterprise data integration. Claude, Llama, and Titan models available on demand, without managing GPUs.
SageMaker for custom models
Training, fine-tuning, and deployment of custom models with SageMaker. For cases where foundation models don't suffice or proprietary data requires dedicated models.
Optimization and ongoing operations
Quality monitoring, inference cost optimization, model updates, and continuous evolution. Optional managed services via Elevata Orbit.
35%
inference cost reduction
GenAI
AWS Generative AI Competency
250+
launches on AWS
Data and AI ecosystem
Integrations with platforms used by modern AI teams
Related guides
Dive deeper into AI and data on AWS
About Elevata
Your AWS partner for AWS Generative AI 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 AWS Generative AI Consulting?
What's the difference between Bedrock and SageMaker for generative AI?
Amazon Bedrock is ideal for using foundation models (Claude, Llama, Titan) via API without managing infrastructure. SageMaker is for training and deploying custom models when foundation models don't suffice. Most projects start with Bedrock and use SageMaker for specific needs.
How did Elevata earn the AWS Generative AI Competency?
The AWS Generative AI Competency is awarded to partners who demonstrate technical proficiency, proven customer experience, and success stories in generative AI. Elevata went through technical validation and case review by AWS.
How long does it take to implement generative AI?
A POC with Bedrock can be delivered in 2-4 weeks. A full implementation with RAG, agents, and data integration takes 6-12 weeks. Initial strategy and discovery takes 1-2 weeks.
Can Elevata help with credits for AI projects?
Yes. As an AWS Partner, we help assess eligibility for programs such as PoC and AWS Activate. Credit availability depends on the use case, company stage, and AWS approval.
Next step
Define your generative AI strategy
Schedule a discovery workshop to identify the generative AI use cases with the highest impact for your company.