Assessments

Know where you stand before deciding what comes next.

CAS Strategies helps organizations understand what they are ready for, where material gaps remain, and what needs to change. We combine recognized frameworks, operating evidence, and our experience at the leading edge of AI governance and security to turn assessment into a practical path forward.

An assessment should help you make decisions.

We examine the policies, practices, decision rights, technology, workforce, and operating conditions behind the question you need answered. Then we translate what we find into priorities, sequencing, and actions your organization can use.

Understand

Define the question, scope, and evidence needed.

Examine

Understand current practice through the people, processes, documentation, technology, and other evidence relevant to the question.

Assess

Evaluate what we find against the appropriate frameworks, requirements, operating objectives, and CAS expertise.

Act

Turn the findings into priorities, ownership, sequencing, and a practical path forward.

Start with the evidence the question requires.

Not every assessment requires deep technical access. Depending on the question, CAS can establish a useful baseline through leadership and stakeholder interviews, policies, documentation, workflows, existing evidence, and targeted discovery. Where technical validation is necessary, we scope it accordingly.

CAS methodology

Secure AI Readiness Assessment (SARA)

Leading frameworks provide essential guidance for managing AI risk, security, and governance. Organizations still need to understand whether the capabilities behind that guidance are actually connected and working in practice.

CAS created SARA for that question. It brings recognized frameworks together with what we have learned helping organizations govern emerging technology in real operating environments, examining readiness across strategy, authority, security, data, lifecycle management, workforce, oversight, and change.

The result is a view of organizational readiness that can evolve as your technology, operating environment, and governance mature.

Draws from

NIST AI Risk Management Framework
ISO/IEC 42001
NIST Cybersecurity Framework 2.0
OECD AI Principles

A CAS methodology; not a certification or an instrument endorsed by any standards body.

Built for a moving target

AI capability, organizational use, and risk will keep changing, so readiness cannot be a one-time exercise. SARA creates a baseline organizations can revisit as their technology, governance, workforce, and operating environment evolve.

The same emphasis on continuous learning informs CAS’s work on adaptive governance and control architectures, including the Authority-Centered Enforcement™ framework for systems acting with delegated authority.

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Seven domains

I

Strategy & Governance

II

Secure Infrastructure & Data

III

AI Lifecycle & Risk Management

IV

Workforce & Culture

V

Monitoring & Incident Response

VI

Responsible & Explainable AI

VII

Change Readiness

Together, the seven domains show whether the capabilities required for responsible AI adoption are developing as a connected system.

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From readiness questions to an operating baseline.

A full SARA engagement gives leaders a shared view of current readiness, the capabilities that matter most, and where to focus next. It also creates a baseline for measuring progress as the organization matures.

Delivered as the Signature Readiness Assessment™. Typical engagement: approximately four weeks; scope set together at the outset.

Readiness baseline

A directional view across the seven SARA domains.

Evidence-backed findings

What is working, where material gaps remain, and what the evidence shows.

Framework alignment

How relevant findings map to recognized frameworks and requirements.

Prioritized roadmap

What to strengthen first, with sequencing, ownership, and dependencies.

Designed for reassessment as the organization and technology evolve.

SARA readiness levels are directional maturity indicators, not certification, compliance, or externally validated performance ratings.

Assess the question you actually need answered.

Organizations come to CAS at different stages and with different questions. We tailor the scope, evidence, and reference frameworks accordingly.

AI Governance & Organizational Readiness

Are governance, decision rights, policies, processes, technology, and organizational capacity ready to support the AI you want to deploy?

AI Use, Vendor & Implementation Readiness

Where is AI already being used, what are you considering next, and are the vendors, data, controls, workflows, and oversight ready to support it?

AI Security & Operational Resilience

Can your identity, access, data, monitoring, third-party risk, and incident-response capabilities keep pace as AI becomes more connected to enterprise systems?

Workforce & Change Readiness

Are employees, managers, practitioners, communications, training, and organizational support prepared for adoption to work in practice?

Have a different question? We tailor assessments to the decision, framework, risk, or capability your organization needs to understand.

Already working from a framework?

We can assess against the standards, internal requirements, regulatory expectations, or control frameworks your organization already uses, and map across multiple frameworks when a consolidated view is more useful.

NIST AI RMF · NIST CSF 2.0 · ISO/IEC 42001 · ISO 27001 · OECD AI Principles · your own policies and controls

Start with the question.

Tell us what you need to understand or decide. We’ll help determine the right assessment, the evidence it requires, and whether a formal assessment is even the right next step.