Sold by: CloudiQS Techologies
2-day assessment evaluating your organization's readiness for generative AI on AWS Bedrock. Identify use cases, infrastructure requirements, and ROI projections for AI agent deployment
Overview
CloudiQS GenAI Readiness Assessment provides a comprehensive evaluation of your organization's capability to deploy production generative AI solutions using AWS Bedrock, Amazon Bedrock Agents, and Amazon Bedrock Knowledge Bases.
This fixed-price, 2-day assessment is delivered by AWS GenAI Competency certified consultants and includes:
WHAT YOU GET: Current state AI/ML capability audit across your AWS infrastructure AWS Bedrock suitability analysis for your specific workloads Use case identification and prioritization framework Technical architecture recommendations using Amazon Bedrock Agents and AWS Lambda Data readiness assessment for Amazon Bedrock Knowledge Bases integration Security and compliance evaluation for AI workloads (ISO 27001, SOC 2, GDPR) 12-month ROI projection with cost modeling Executive summary with decision framework
AWS SERVICES COVERED: This assessment directly supports adoption of AWS Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, AWS Lambda, Amazon S3, Amazon Kendra, Amazon SageMaker, AWS IAM, AWS KMS, Amazon CloudWatch, and AWS CloudTrail.
DELIVERABLES: • 25-page assessment report with technical findings • ROI model spreadsheet • Prioritised use case roadmap • Reference architecture diagrams • 90-minute executive readout presentation
IDEAL FOR: • Organizations exploring generative AI adoption • Companies with existing AWS infrastructure seeking to add AI capabilities • UK businesses in education, finance, and professional services • Technical leaders planning AI strategy for 2026-2027
WHY CLOUDIQS: CloudiQS is an AWS Advanced Consulting Partner with GenAI Competency, Education Competency, and Microsoft Workloads Competency. Our 18+ technical staff includes ex-AWS Solutions Architects with 15+ years cloud experience. We've deployed production AI agents for organizations across the UK and EMEA.
ENGAGEMENT TIMELINE: Week 1: Discovery workshops and infrastructure review (8 hours) Week 2: Analysis, architecture design, and deliverable preparation (8 hours) Week 2: Executive presentation and Q&A (2 hours)
NO ADDITIONAL AWS COSTS: This is a professional services assessment only. If you choose to implement recommendations, AWS infrastructure costs are separate and will be estimated in the assessment deliverables.
NEXT STEPS: After subscription, CloudiQS will contact you within 1 business day to schedule kickoff. Assessment typically begins within 5 business days of purchase.
Highlights
- 1. AWS Bedrock Production Readiness Analysis: Delivered by AWS GenAI Competency certified consultants, this assessment evaluates your infrastructure, data, and team capability to deploy Amazon Bedrock Agents and Knowledge Bases. Includes security compliance review for ISO 27001, SOC 2, and GDPR requirements with specific recommendations for AWS KMS encryption and AWS IAM policies.
- 2. ROI-Focused Business Case Development: Receive a comprehensive 12-month financial model projecting costs, efficiency gains, and competitive advantages from generative AI adoption. Includes AWS cost estimates for Bedrock inference, Lambda compute, S3 storage, and data transfer with optimization recommendations to maximize value.
- 3. Rapid Implementation Roadmap: Get a prioritized, time-phased deployment plan with technical architecture diagrams, resource requirements, and risk mitigation strategies. Designed to accelerate your journey from assessment to production AI agents in 30-90 days using CloudiQS Agent Bakery rapid deployment framework.
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Support
Vendor support
CloudiQS provides comprehensive support throughout the assessment engagement: • Email support: hello@cloudiqs.com (response within 4 business hours)
• Dedicated project manager assigned from day 1 • Slack channel for real-time communication during engagement • Post-assessment support: 30 days of email support included for implementation questions