Free AI/ML Assessment & Readiness

A comprehensive free assessment to help your organization understand its readiness for adopting AI/ML, both from technical and organizational perspectives, with a practical, risk-aware path to value.

Request private offer

Overview

PathsData, an AWS-focused AI/ML consulting partner, offers a comprehensive, free Readiness Assessment to help organizations unlock the full potential of AI/ML on AWS. The assessment evaluates your current state, identifies opportunities for AI/ML integration, and delivers a clear, action-oriented roadmap that aligns with AWS-native architectures and PathsData’s proven consulting approach.

Key Components

1. Current-State Analysis

Thorough review of your data architecture, systems, and cloud footprint
Evaluation of data management practices, quality, governance, and accessibility within AWS
Targeted security and compliance review aligned with AWS best practices

2. Data Readiness Evaluation

Assess data quality, volume, variety, and readiness for AI/ML workloads
Identify data sources and their compatibility with AWS AI services (SageMaker, Glue, Lake Formation)
Consider data lineage and cataloging to support trust and reproducibility

3. Infrastructure & Security Readiness

Review of AWS resources and scalability for AI/ML workloads
Evaluation of security controls for data and models (IAM, KMS, CloudTrail, guardrails)
Identify vulnerabilities and recommended mitigations

4. Business Discovery & Opportunities

Stakeholder interviews to surface business challenges and AI/ML opportunities
Prioritize initiatives by expected business impact and feasibility
Align AI/ML opportunities with organizational strategy and ROI

5. AI Model Development & Deployment Readiness

Assess capabilities to develop, validate, and deploy models on AWS
Insights to improve the ML lifecycle with AWS services (SageMaker, SageMaker Pipelines)
Recommendations for governance, monitoring, and bias/risk controls

6. Roadmap for AI/ML Integration

Prioritized use-cases with clear outcomes and implementation guidance
Realistic budgets and phased timelines (short-term wins and long-term strategy)
Practical next steps for AWS integration and enterprise rollout

Optional Implementation Support

Ongoing advisory and hands-on help during initial integration into AWS Guidance to align people, processes, and technology for sustainable AI/ML delivery

Why PathsData

AWS-native focus: Built around SageMaker, Glue, Lake Formation, S3, IAM, and more

Actionable deliverables: Readiness snapshot, prioritized gaps, and a practical 90-day or 6–12 month roadmap

Low-friction engagement: Designed for rapid intake and swift value realization with minimal disruption

Highlights

Clear, AWS-aligned readiness plan Quick, structured assessment that maps current state to AWS-native AI/ML capabilities and provides a practical path to value.
Data, security, and governance focus Emphasis on data quality, lineage, governance, and security controls to support trustworthy AI/ML outcomes.
Actionable roadmap with quick wins Prioritized use-cases and a phased roadmap designed for fast impact and sustainable AI/ML maturity growth.

Details

Sold by

PATHSDATA LLC

Unlock automation with AI agent solutions

Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.

Explore AI agent solutions

Pricing

Custom pricing options

Request private offer

Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

How can we make this page better?

We'd like to hear your feedback and ideas on how to improve this page.

Legal

Content disclaimer

Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.