Sold by: Cloud Wizard Consulting
Fixed-scope AI engagement from an AWS Select Tier Partner. Get a working Generative AI proof of concept in 1-2 weeks using Amazon Bedrock and Amazon Q with RAG integration.
Overview
Accelerate Enterprise AI Innovation with AWS
Generative AI is transforming how organizations engage customers, empower employees, and unlock business insights. However, moving from experimentation to production requires the right architecture, governance, and implementation expertise.
The Generative AI Accelerator on AWS from Cloud Wizard Consulting is a fixed-scope professional services engagement that delivers a working proof of concept in 1-2 weeks per workshop phase. As an AWS Select Tier Consulting Partner and AWS Advanced Training Partner, Cloud Wizard brings certified expertise - our authorized instructors hold all AWS certifications, and we have trained more than 5,000 professionals on AWS technologies.
Proven Results
Cloud Wizard has helped clients achieve measurable outcomes through structured AI engagements. In one engagement, we reduced operational costs by 40% through optimized AI architecture design and implementation. Our structured methodology ensures you move from idea to validated proof of concept rapidly while reducing implementation risk.
Detailed Use Case: Enterprise Document Intelligence in Financial Services
A financial services organization needed to process thousands of policy and compliance documents daily. Staff spent significant time manually searching and cross-referencing regulatory content. Cloud Wizard designed a RAG-based solution using Amazon Bedrock for foundation model access, Amazon S3 for document storage, and Amazon OpenSearch Service for vector embeddings. The workflow followed a clear pipeline: document ingestion from internal repositories, chunking and vector embedding, semantic retrieval based on user queries, and contextual response generation with source citations. The proof of concept demonstrated how employees could query complex regulatory content in natural language and receive accurate, cited answers - dramatically reducing manual research time.
What is Included
AI Discovery Workshop (Week 1)
Every engagement begins with a collaborative workshop to understand your business objectives and identify the most valuable AI opportunities.
- Business use case assessment and prioritization
- AI readiness evaluation
- Technical architecture discussion
- Success criteria definition
- Implementation roadmap
Solution Architecture Design
Design a secure and scalable AI solution tailored to your business:
- Reference architecture with annotated diagrams
- Security and governance recommendations
- Data integration strategy
- Model selection guidance (Amazon Bedrock foundation models)
- Cost optimization recommendations
Proof of Concept Development (Week 1-2)
Build a functional Generative AI application that demonstrates business value:
- Enterprise knowledge assistant
- Customer support chatbot
- Document Q&A solution
- AI-powered search application
- Content generation workflows
Retrieval-Augmented Generation (RAG) Implementation
- Knowledge base integration with enterprise data sources
- Document ingestion and chunking strategy
- Vector database architecture guidance
- Prompt optimization and response quality evaluation
AWS AI Services Integration
- Amazon Bedrock
- Amazon Q Business
- Amazon S3, AWS Lambda, Amazon API Gateway
- AWS IAM, Amazon CloudWatch
- Amazon OpenSearch Service
Security, Governance & Knowledge Transfer
- Identity and access management
- Data privacy and responsible AI recommendations
- Architecture diagrams and solution documentation
- Deployment and operational guidance
- Knowledge transfer session with your team
Benefits
- Validate AI use cases with a working proof of concept in 1-2 weeks
- Reduce implementation risk with AWS-certified experts
- Build secure, scalable AI architectures following AWS Well-Architected principles
- Integrate enterprise knowledge into AI applications using RAG
- Establish governance and operational best practices
- Receive a clear roadmap for production deployment
Ideal For
- Mid-market and enterprise organizations exploring Generative AI
- Teams building internal AI assistants or customer support chatbots
- Organizations implementing intelligent document search
- Businesses seeking a validated proof of concept before committing to production deployment
- Teams looking to leverage Amazon Bedrock or Amazon Q
Next Steps
Book a 30-minute AI Discovery Call to discuss your use case and determine scope. Cloud Wizard Consulting can also support production deployment, managed operations, and ongoing AI optimization following a successful proof of concept.
Highlights
- Build Enterprise-Ready Generative AI Solutions – Rapidly develop secure AI applications using AWS services such as Amazon Bedrock and Amazon Q.
- From Idea to Working Proof of Concept – Validate business value through an AI discovery workshop, solution architecture, and functional proof of concept.
- Secure, Scalable & Responsible AI – Implement Generative AI following AWS best practices for security, governance, scalability, and operational excellence.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Support During Your Generative AI Accelerator Engagement
Cloud Wizard Consulting provides dedicated support throughout your Generative AI Accelerator engagement. Our AWS-certified consultants are available from AI discovery through proof of concept delivery, validation, and knowledge transfer.
Response Time: Email inquiries receive an initial response within 12 hours.
Engagement Timeline: Each workshop phase typically spans 1-2 weeks depending on use case complexity. The structured methodology follows these milestones: AI Discovery Workshop, Use Case Prioritization, Solution Architecture Design, Proof of Concept Development, Validation and Demonstration, Documentation and Knowledge Transfer.
How to Reach Us
- Email: info@cloudwizardconsulting.com
- Website: https://www.cloudwizardconsulting.com
What Support Covers
During your engagement, our team provides guidance on AI use case discovery, solution architecture design, Amazon Bedrock and Amazon Q implementation, RAG design, knowledge base integration, prompt engineering, AI security and governance, and architecture documentation.
Buyer Responsibilities
To ensure a successful engagement, buyers should provide a designated business and technical point of contact, access to relevant AWS accounts, sample datasets or enterprise knowledge sources where applicable, and availability for discovery workshops, solution reviews, and knowledge transfer sessions.
Engagement Scoping
Each engagement begins with a discovery workshop to understand your business objectives, AI use cases, existing technology landscape, and desired outcomes. Based on this assessment, Cloud Wizard defines the project scope, deliverables, and timeline.
For support inquiries, engagement discussions, or billing questions related to your AWS Marketplace purchase, please contact info@cloudwizardconsulting.com .