Overview
Enterprise Generative AI & Agentic AI Solutions with Proven Business Outcomes
Our AWS AI Consulting Services deliver enterprise-grade Generative AI and Agentic AI solutions that transform business operations through intelligent automation. Leveraging Amazon Bedrock foundation models (Claude, Llama, Titan), Amazon SageMaker for model customization, and advanced RAG architecture using Amazon Kendra, OpenSearch Service, and vector databases, we architect and implement production-ready AI applications including intelligent document processing, AI-powered customer service agents, multi-agent automation platforms, and custom AI solutions. Our proven methodology achieves 60-70% reduction in manual knowledge work, 40-50% faster customer service response times, 80% faster document processing, and measurable ROI within 12-18 months, with solutions deployed to production in 3-6 months.
End-to-End AI Lifecycle Services with Security & Responsible AI Governance
Our comprehensive service offering spans the entire AI lifecycle: AI readiness assessment and strategy development, foundation model selection and evaluation (4+ models), RAG implementation with chunking optimization and re-ranking, advanced prompt engineering (few-shot, chain-of-thought), model fine-tuning using SageMaker Training and Bedrock custom models, multi-agent orchestration with Bedrock Agents and frameworks (LangGraph, Strands), and production-grade MLOps using SageMaker Pipelines, Model Registry, and Model Monitor. We implement robust security and responsible AI governance using Bedrock Guardrails for content filtering and PII redaction, SageMaker Clarify for bias detection and explainability, IAM policies and VPC endpoints for secure access, and comprehensive audit logging with CloudTrail, ensuring compliance with GDPR, HIPAA, and emerging AI regulations while maintaining 99.9% uptime and <2 second response times.
Seamless Integration with 25+ AWS AI/ML Services & Comprehensive Support
This consulting service integrates seamlessly with AWS services including Amazon Bedrock, Amazon SageMaker (JumpStart, Training, Endpoints, Pipelines, Model Registry, Model Monitor, Clarify, Ground Truth), Amazon Kendra, Amazon OpenSearch Service, Amazon Textract, Amazon Comprehend, Amazon Translate, Amazon Transcribe, AWS Lambda, AWS Step Functions, Amazon DynamoDB, Amazon S3, Amazon RDS (pgvector), AWS Glue, Amazon CloudWatch, AWS X-Ray, Amazon EventBridge, AWS Secrets Manager, AWS KMS, AWS CloudTrail, Amazon API Gateway, and AWS CodePipeline. Our service includes comprehensive knowledge transfer (80-240 hours based on tier), operational playbooks, prompt management procedures, and 2-4 weeks of hypercare support to ensure successful adoption and long-term operational excellence.
Highlights
- Business Value & Results Proven Business Outcomes: Achieve 60-70% productivity gains, 80% faster document processing, and measurable ROI in 12-18 months with production-ready Generative AI and Agentic AI solutions using Amazon Bedrock, SageMaker, and RAG architecture.
- Technical Capabilities & AWS Services Complete AI Lifecycle Implementation: End-to-end services from AI strategy and foundation model selection to RAG implementation, prompt engineering, fine-tuning, multi-agent orchestration with Bedrock Agents, and production MLOps using SageMaker Pipelines—integrated with 25+ AWS AI/ML services.
- Security & Support Enterprise Security & Comprehensive Support: Responsible AI governance with Bedrock Guardrails, SageMaker Clarify for bias detection, GDPR/HIPAA compliance, plus 80-240 hours knowledge transfer and 2-4 weeks hypercare support for successful adoption.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.