Sold by: Proxima Intelligence
Know before you build. A structured 2-week assessment of your organization's AI maturity, data infrastructure, and implementation roadmap — built for regulated enterprises in financial services, healthcare, and manufacturing. Delivered by senior architects with 15+ years of Fortune 100 cloud transformation experience.
Overview
The AI Readiness Assessment evaluates your organization's preparedness to deploy AI and advanced analytics solutions on AWS at enterprise scale. Over two weeks, senior architects conduct a comprehensive analysis across six dimensions: data quality, infrastructure, security, talent, governance, and use case readiness.
This service relates to the following AWS services: Amazon Bedrock, Amazon SageMaker, Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon GuardDuty, AWS Security Hub, and AWS Organizations. The assessment evaluates readiness to adopt these services for enterprise AI workloads in regulated environments.
Deliverables include an AI Maturity Scorecard, gap analysis against AWS AI platform requirements (Bedrock, SageMaker, and AWS data services), a prioritized use case backlog ranked by business value and implementation complexity, a 90-day implementation roadmap, and an executive briefing deck. The assessment identifies gaps in data infrastructure, lakehouse architecture, governance, and security posture that must be addressed before enterprise AI deployment on AWS.
Fixed scope, fixed price, defined outcome — no open-ended engagements.
Highlights
- AI Maturity Scorecard across 6 dimensions with gap analysis and prioritized use case backlog — delivered in 2 weeks with a 90-day implementation roadmap.
- Senior architects on every engagement — no bait-and-switch, no handoffs to junior teams. 15+ years leading cloud transformations at Fortune 100 organizations.
- Built for regulated industries: financial services, healthcare, manufacturing, retail. Compliance-aware methodology aligned to SOC 2, HIPAA, and NIST frameworks.
Details
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Delivery method
Deployed on AWS
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Pricing
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Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Support
Vendor support
https://proximaintel.com/contact — All engagements include direct access to a senior architect. Response within 24 hours on business days.
Software associated with this service
By Amazon Web Services
The AWS API MCP Server enables AI assistants to interact with AWS services and resources through AWS CLI commands. It provides programmatic access to manage your AWS infrastructure while maintaining proper security controls. This server acts as a bridge between AI assistants and AWS services, allowing you to create, update, and manage AWS resources across all available services. It helps with AWS CLI command selection and provides access to the latest AWS API features and services, even those released after an AI model's knowledge cutoff date. This MCP server is meant for testing, development, and evaluation purposes.