What is an AI readiness assessment for enterprises?

An enterprise AI readiness assessment is a structured diagnostic that evaluates whether an organization's data infrastructure, governance frameworks, workforce capabilities, and security posture are prepared to successfully deploy and scale artificial intelligence. A proper AI readiness assessment identifies where AI investments will generate value and where they will fail — before the budget is committed. The ETRIS AI & Agentic Readiness Diagnostic℠ goes further by also evaluating readiness for agentic AI systems, which operate with greater autonomy and require a different governance and oversight model than traditional AI deployments.

How does the AI & Agentic Readiness Diagnostic℠ work?

After purchase, you complete a 20-question diagnostic questionnaire that takes 15 to 20 minutes. Questions span five pillars and are designed to be answered from your current executive knowledge — no technical data gathering is required. Your answers are analyzed through a proprietary framework built on 25+ years of enterprise technology leadership and AI strategy experience. Within 24 hours you receive a personalized 15-page PDF report with your AI readiness score, pillar diagnostics, top risk areas, an agentic AI adoption roadmap, and vendor-specific implementation recommendations.

What do I receive with the AI Readiness Diagnostic?

You receive a personalized 15-page PDF report delivered within 24 hours that includes: your overall AI readiness score; individual scores across five pillars with plain-language diagnostics for each; your top 3 AI investment risk areas; an agentic AI readiness assessment with a phased adoption roadmap; vendor-specific recommendations based on your readiness profile; and a prioritized set of executive actions to close your most critical readiness gaps before committing significant AI investment.

Is this useful if we've already started AI pilots or deployments?

Yes — the AI & Agentic Readiness Diagnostic℠ is often most valuable at the point when an organization has completed early AI pilots and is considering broader rollout or additional investment. Many organizations discover mid-deployment that their data infrastructure, governance frameworks, or workforce readiness gaps are constraining what should have worked in theory. The diagnostic provides a structured analysis of what's limiting your current AI performance and what needs to be addressed before you scale.

How is this different from vendor AI readiness tools?

Vendor AI readiness tools are designed to identify readiness gaps that the vendor's own products can address. The diagnostic is calibrated to generate a result that leads naturally toward the vendor's solution stack. The AI & Agentic Readiness Diagnostic℠ is vendor-neutral — it was not built to sell you any particular technology platform. The recommendations it generates are based on your actual readiness profile, not a vendor's product catalog. Where specific vendors are mentioned, they represent leading product offerings at the time of the report — not a static or prescriptive list. Your readiness profile, not a commercial partnership, drives the guidance.

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AI & Agentic Readiness Diagnostic℠ report cover — enterprise AI assessment by Kevin Carl, ETRIS℠

Product 03 — Executive AI Diagnostic

$247

AI & Agentic Readiness
Diagnostic℠

Know where AI will work. Know where it will fail. Before you spend.

A 20-question diagnostic that scores your enterprise's AI readiness across 5 critical pillars — data, governance, workforce, use cases, and security — and delivers a personalized 15-page report with an agentic AI roadmap and category-matched solution guidance. In 24 hours.

Get Your AI Readiness Score — $247 →

AI investment without a readiness baseline is a guess. Complete the 20-question diagnostic and receive your personalized 15-page report — with agentic AI roadmap and category-matched solution guidance — within 24 hours.

Get Your AI & Agentic Readiness Diagnostic — $247 →

The Diagnostic

What You Get

Agentic AI is not simply broader AI readiness — it's a specific, distinct challenge. AI agents can work alongside current employees, or in some cases perform the primary functions those employees do today. These are fundamentally different use cases with very different organizational change dynamics. This diagnostic answers both questions: which approach is right for your organization, and are you actually ready to implement it?

20-Question Agentic AI Diagnostic

A precisely engineered set of questions spanning five pillars of enterprise AI and agentic AI readiness — from data infrastructure quality to governance maturity for autonomous systems. Takes 15–20 minutes. Designed to be answered from your current executive and technology leadership knowledge without data gathering.

Personalized 15-Page PDF Report

Generated from your specific answers — not a generic AI readiness template. Your report reflects your organization's actual AI readiness profile: which pillars support immediate deployment, which require foundational investment first, and critically — whether your organization is better suited for agents that work alongside employees or agents that perform primary functions. The distinction matters enormously for change management and governance.

5-Pillar AI Readiness Score

Individual scores across five pillars — Data Infrastructure & Quality, AI Governance & Ethics, Workforce Readiness, Use Case Prioritization, and Security & Compliance — with a plain-language diagnosis for each. Gives you and your leadership team a shared, specific picture of where the organization stands across every dimension of AI and agentic AI readiness.

Agentic AI Roadmap

A dedicated assessment of your organization's readiness specifically for agentic AI systems — the next frontier of enterprise AI. Includes a phased roadmap calibrated to your current readiness profile, governance requirements, and the oversight infrastructure required before autonomous AI agents can operate safely at scale in your environment.

Category-Matched Solution Guidance

Unlike generic AI readiness tools, your report identifies which category of AI or agentic solution fits your organization's profile — from data infrastructure and governance platforms to AI deployment and workflow automation tools. Where specific vendors are cited, they represent leading product offerings at the time of the report, not static or prescriptive recommendations. Your organization's readiness profile drives the guidance, not a vendor partnership.

Delivery Within 24 Hours

From assessment submission to actionable AI intelligence in under one business day. Your report arrives as a high-quality PDF formatted for executive review and technology leadership distribution — suitable for board-level AI strategy briefings, CIO/CDO planning sessions, and vendor evaluation processes.

The Five Pillars of Enterprise AI Readiness

01

Data Infrastructure & Quality

The single most common reason enterprise AI fails to deliver is not the algorithm — it's the data. This pillar evaluates the accessibility, quality, governance, and integration maturity of your data infrastructure. AI models trained on incomplete, inconsistent, or poorly governed data produce unreliable outputs that erode trust and adoption. Your score here tells you whether your data foundation can support the AI use cases you're considering — or whether foundational data work must come first.
02

AI Governance & Ethics

As AI systems move from experimental to operational, governance gaps become organizational liabilities. This pillar evaluates whether your organization has the policies, oversight mechanisms, accountability structures, and ethical frameworks necessary to deploy AI responsibly at enterprise scale — including the specific governance requirements for agentic AI systems that operate with significant autonomy. Organizations without governance infrastructure in place before scaling AI create risks that are far more expensive to address after deployment.
03

Workforce Readiness

AI does not replace workforce strategy — it requires one. This pillar evaluates the AI literacy, change readiness, and capability development infrastructure across your organization. Successful enterprise AI adoption depends on a workforce that understands how to work with AI tools, trusts their outputs, knows their limits, and can identify when AI-generated results require human review. The gap between AI capability and workforce readiness is where most enterprise AI pilots stall before reaching production.
04

Use Case Prioritization

Not all AI use cases are equally ready, equally valuable, or equally safe to deploy at the same time. This pillar evaluates the quality of your organization's AI use case portfolio — whether you have a rigorous prioritization methodology, whether your highest-priority use cases are genuinely supported by your current data and infrastructure, and whether your AI investment thesis is based on a realistic assessment of value versus a vendor's success story that doesn't match your context.
05

Security & Compliance

Enterprise AI introduces security and compliance requirements that most organizations have not fully mapped. This pillar evaluates your security posture for AI-specific risks: model poisoning, prompt injection, data exfiltration through AI interfaces, regulatory compliance for AI-generated decisions, and the specific security architecture required for agentic AI systems with external access and autonomous action capabilities. Security gaps at this pillar represent the highest-severity risks in your AI readiness profile.

The Methodology

Why It Works

AI investment decisions without a readiness baseline are guesses dressed in business cases. The enterprise AI market is driven by vendor narratives, analyst enthusiasm, and competitive pressure — not by an honest assessment of whether your specific organization's data infrastructure, governance maturity, and workforce capability are ready to support the investments being proposed. The result is a growing graveyard of AI pilots that proved the technology worked in a controlled environment but failed to survive contact with the messy reality of enterprise operations.

The AI & Agentic Readiness Diagnostic℠ was built to solve exactly that problem. The five-pillar framework reflects the five categories where, over and over, the gap between an organization's stated AI readiness and its actual AI readiness determines whether AI investments deliver value or become expensive technical debt. Every question in the assessment maps to a specific failure mode observed in real enterprise AI deployments — not theoretical risk categories from an analyst framework, but actual patterns from organizations that got certain pillars right and paid the price for getting others wrong.

The inclusion of agentic AI readiness is deliberate and forward-looking. Most current AI readiness assessments were designed for the previous generation of AI — models that answer questions, classify documents, or generate content in response to prompts. Agentic AI systems that can take autonomous action, interact with external systems, and execute multi-step workflows require a fundamentally different readiness model. Organizations that build agentic AI readiness now will have a decisive competitive advantage as the technology matures. Organizations that deploy agentic systems without proper governance will face risks that are difficult to contain once they materialize.

The distinction between agents that work alongside employees and agents that perform primary functions is not a technical nuance — it's a strategic and organizational one. An AI agent that assists a customer service rep with suggested responses has fundamentally different change management, governance, and workforce implications than an agent that handles the customer interaction directly. Most AI readiness assessments don't draw this distinction at all. This diagnostic is built around it — because getting it wrong means either underinvesting in governance when it's critical or over-engineering for a deployment model you're not actually pursuing.

The framework underlying this diagnostic reflects 25+ years of practitioner experience at the intersection of technology strategy and enterprise operations — spanning roles including Global Managing Director of Digital Travel at Accenture, EVP and Global CIO at Radisson Hotel Group, and Managing Director at Alvarez & Marsal. Kevin Carl, Founder of Proxideo Partners, was named one of the Top 25 Artificial Intelligence Consultants and Leaders of 2024 by Consulting Report magazine. The AI & Agentic Readiness Diagnostic℠ is a practitioner's tool for executives who need a clear, vendor-neutral, actionable picture of their AI readiness — before they commit to a path that will be very expensive to reverse.

"I walked into our ELT with a completely different approach after digesting the report. It changed how I presented our AI roadmap and how the leadership team received it."

— CIO, Mid-Market Home Services Firm

The Results

What You'll Walk Away With

A clear AI readiness baseline — scored and specific Individual pillar scores across five dimensions of AI readiness, with a diagnosis for each. This baseline replaces the vague sense that "we're probably AI-ready in some areas" with a specific, shared picture that your technology and business leaders can align around and act on.
Your top 3 AI investment risk areas, diagnosed The three areas where your organization's AI investments are most likely to underperform or fail — named, explained in plain language, and connected to the specific patterns behind them. Not a list of everything that could go wrong. The specific three that your profile predicts will go wrong.
An agentic AI readiness roadmap A phased roadmap for agentic AI adoption based on your current readiness profile — including the governance infrastructure, oversight mechanisms, and security requirements you need to have in place before autonomous AI agents can operate safely and effectively in your environment.
Category-matched, vendor-neutral guidance Identification of which category of AI or agentic solution fits your organization's profile, with leading product examples current at the time of the report. Written without any vendor relationship influencing the recommendation — what's right for your readiness profile, not what's in a partnership agreement.
A defensible basis for AI investment decisions A 15-page PDF formatted for board and leadership distribution. Use it to support or challenge an AI investment proposal, brief the board on AI readiness and risk, align the technology and business leadership around a shared AI strategy, or establish the baseline against which future AI maturity will be measured.

About Proxideo Partners & ETRIS℠

Proxideo Partners brings together experience from more than 40 transformation change programs and practical experience implementing AI solutions in a variety of businesses. ETRIS℠ is the diagnostic suite of Proxideo Partners, LLC, created to give senior executives a clear readiness baseline before committing to transformation or AI adoption.

The AI & Agentic Readiness Diagnostic℠ reflects 25+ years of technology leadership across enterprises where AI and digital strategy were not theoretical — they were operating reality.

Kevin Carl is the Founder and Principal Advisor at Proxideo Partners. He has led or advised more than 20 enterprise transformation programs across travel and hospitality, professional services, and technology-enabled businesses. He was named one of "The Top 25 Artificial Intelligence Consultants and Leaders of 2024" by Consulting Report magazine. Previous roles include Managing Director at turnaround giant Alvarez & Marsal, General Manager and SVP of Engineering at tech unicorn Copado, Group Vice President of Global Hospitality Consulting at Oracle, EVP & Global CIO at Radisson Hotel Group, and Global Managing Director of Digital Travel at Accenture.

Frequently Asked Questions

About the AI & Agentic Readiness Diagnostic℠

What do I actually receive?

You receive a personalized 15-page PDF report delivered within 24 hours. Components include: your overall AI readiness score; individual pillar-by-pillar scores across five dimensions (Data Infrastructure & Quality, AI Governance & Ethics, Workforce Readiness, Use Case Prioritization, and Security & Compliance) with a plain-language diagnosis for each; your top 3 AI investment risk areas named and explained; an agentic AI readiness assessment with a phased adoption roadmap; and vendor-specific recommendations calibrated to your readiness profile. The report is formatted for executive and board distribution.

How long does it take to receive my report?

Your personalized 15-page report is delivered within 24 hours of completing the assessment form. The assessment itself takes 15 to 20 minutes — no data gathering or advance preparation required. Total time from purchase to actionable AI intelligence: less than one business day.

What is the intake process?

After purchase, you complete the assessment form — that's the only input needed. The assessment uses a standardized set of 20 questions built around a data-driven, scientific approach to AI readiness measurement. The questions span all five pillars and are designed to be answered from your current executive and technology leadership knowledge — no technical data gathering is required. Free-form text questions capture the "voice of the client" and allow the analysis to be personalized further to your organization's specific AI ambitions, constraints, and context. The whole process takes 15–20 minutes.

Is this personalized or generic?

Fully personalized to your answers. The standardized questions provide a consistent measurement framework across all five pillars; the free-form questions capture the specific details of your AI agenda, governance posture, and organizational context. The 15-page report is generated from your responses and reflects your organization's actual AI readiness profile — including the critical distinction between readiness for agents that work alongside employees versus agents that perform primary functions. It reads like it was written about your organization — because it was.

Who is this designed for?

The AI & Agentic Readiness Diagnostic℠ is designed for senior technology and business executives — CIO, CDO, CTO, CEO, COO — at companies with 200 to 5,000 employees who are evaluating, planning, or mid-way through an enterprise AI adoption initiative. It is particularly valuable for executives who have been presented with AI investment proposals and need an independent, vendor-neutral readiness assessment; for technology leaders who need to present a defensible AI strategy to the board; and for any executive whose organization is considering agentic AI and needs to understand what "ready" actually means before committing.

What is the AI & Agentic Readiness Diagnostic℠?

The AI & Agentic Readiness Diagnostic℠ is a 20-question executive assessment that evaluates your enterprise's readiness to deploy artificial intelligence — including agentic AI — across five critical pillars. It specifically addresses the distinction between agentic AI that works alongside employees versus agentic AI that performs primary employee functions — a critical strategic and organizational difference most assessments ignore. Within 24 hours you receive a personalized 15-page PDF report with pillar scores, top risk areas, an agentic AI roadmap, and vendor-specific recommendations. Built by Kevin Carl, named Top 25 AI Consultant of 2024 by Consulting Report magazine.

What is agentic AI and why does readiness for it matter?

Agentic AI refers to AI systems that can take sequences of actions, make decisions, and operate autonomously to complete multi-step tasks — often without human review of each individual step. Critically, there are two very different deployment models: agents that work alongside current employees (augmenting their work) versus agents that perform the primary functions those employees do today (replacing workflows). These models have fundamentally different organizational change dynamics, governance requirements, and workforce implications. Organizations that deploy agentic AI without understanding which model they're pursuing — and whether they're ready for it — face significant operational, reputational, and compliance risks.

Is this useful if we've already started AI pilots?

Yes — and in many cases it is most valuable at this point. When an organization has completed early AI pilots and is considering broader rollout, the AI & Agentic Readiness Diagnostic℠ provides a structured analysis of what's limiting current AI performance and what needs to be addressed before scaling. Many organizations discover mid-deployment that data quality, governance gaps, or workforce readiness issues are constraining what should have worked in theory. This diagnostic tells you exactly which pillar gaps are creating those constraints and what to do about them.

Will my answers be kept confidential?

Yes. Your responses are transmitted securely and handled on a strict need-to-know basis. They are not sold, shared, licensed, or aggregated. They are not used for benchmarking, third-party research, AI model training, or any commercial purpose beyond producing your personalized report. Your organization's AI strategy and readiness data are treated with the confidentiality you would expect from a senior advisory engagement.

Know where AI will work. Know where it will fail.

Complete the 20-question diagnostic. Receive your personalized 15-page AI readiness report — with agentic AI roadmap and category-matched solution guidance — within 24 hours.