AI Readiness Assessment

Move from AI Intent to a Clear, Prioritized Plan:

Many organizations want to act on AI but lack clarity on what to do and where to start, and readiness often varies widely between departments within the same organization. This professional services offering provides a structured AI readiness assessment that surfaces real gaps and priorities beyond high-level intent, then delivers a directional accelerator plan aligned to the organization's current maturity. The result is grounded clarity: a factual view of AI readiness by dimension, and a set of practical, progression-focused initiatives rather than theoretical recommendations.

Seven-Dimension Readiness Framework:

The assessment evaluates maturity across seven dimensions: AI literacy and adoption, data quality and accessibility, use cases and implementation, technology and platforms, process maturity, governance and risk, and vision and value. Each dimension is scored against a five-level maturity scale, from initial through optimized, and can be assessed for the organization as a whole or, recommended, by individual department to reveal differing readiness levels. A short stakeholder survey—typically 10 to 20 minutes per respondent, with optional context fields—is analyzed by agentic AI to locate gaps and generate recommendations. The output places each dimension at its current maturity level, defines the target level to progress toward, and proposes accelerator initiatives with the teams involved, giving decision-makers a clear, department-aware basis for AI and data investment.

What the Assessment Delivers:

Current AI readiness scored across seven dimensions on a five-level maturity scale Organization-wide or department-level views to reveal differing readiness and priorities Agentic AI analysis of survey responses into gaps and prioritized recommendations A directional accelerator plan aligned to current maturity, delivered within a defined window Clear next-step initiatives with target maturity levels and the teams involved Practical, progression-focused recommendations rather than theoretical guidance A structured three-step path from assessment to planning to acceleration A low-effort entry point for senior stakeholders to ground AI strategy and investment

AWS-Native Architecture:

The assessment's agentic analysis runs on AWS. Amazon Bedrock, with guardrails enforced, analyzes structured survey responses across the seven readiness dimensions and generates the maturity scoring and recommendation narrative, with AWS Lambda handling processing and Amazon Simple Storage Service (Amazon S3) storing responses and generated plans. AWS Identity and Access Management (IAM) and AWS Key Management Service (AWS KMS) enforce access control and encryption, and AWS CloudTrail and Amazon CloudWatch provide audit logging and observability. Inputs are used solely to generate the accelerator plan, and any broader insights are anonymized.