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Enterprise AI readiness assessment
Free · 5 Minutes · No Sales Pressure

Find out where your organization actually stands on AI readiness

Most enterprise AI programs fail because organizations overestimate their readiness. This free assessment benchmarks your organization across 6 critical dimensions using the same framework our senior advisors apply in paid engagements. You receive a scored report with specific, actionable recommendations within 48 hours.

200+ enterprises benchmarked 6 readiness dimensions scored Personalized recommendations No obligation or sales follow-up
Free Assessment · No Cost · No Obligation
Start Your AI Readiness Assessment
Complete this form and a senior practitioner will send you a scored AI readiness report within 48 hours. The report benchmarks your organization against 200+ enterprises we have previously assessed.
No spam. No sales pressure. Your information is never shared with vendors.
What Gets Scored

6 dimensions that determine AI readiness

These are the dimensions that consistently differentiate organizations that successfully deploy AI from those that stall in proof-of-concept cycles.

01
Data Maturity
The quality, accessibility, and governance of your data assets. Most AI programs fail here. We assess whether your data is actually ready for the AI you are planning, not the AI you demoed.
Data pipeline reliability and latency
Feature engineering capability
Data labeling infrastructure
Data governance and lineage
02
Technical Infrastructure
Whether your technology stack can support production AI, including MLOps tooling, compute infrastructure, API integration patterns, and deployment automation.
MLOps and model deployment tooling
Compute infrastructure scalability
API and integration architecture
Monitoring and observability
03
Organizational Capability
The internal skills, roles, and team structures needed to build and maintain production AI. Includes both technical roles and the business-side AI product capability that is often overlooked.
ML engineering depth
Data science vs. engineering balance
AI product management capability
Upskilling and reskilling programs
04
AI Governance Framework
The policies, processes, and controls that manage AI risk, regulatory compliance, and model accountability. Particularly critical for regulated industries but necessary for all enterprise AI programs.
Model risk management policies
Regulatory compliance readiness
Bias and fairness assessment processes
AI audit and documentation standards
05
Use Case Clarity
Whether your planned AI use cases have well-defined business outcomes, clear success metrics, and the data availability to support them at production scale, not just in a proof of concept.
Business outcome definition
Success metric specificity
Data availability at production scale
ROI modeling rigor
06
Leadership Alignment
The organizational conditions that determine whether AI programs get the resources, prioritization, and change management support needed to reach production. The most overlooked dimension in AI readiness assessments.
C-suite AI ownership clarity
Investment commitment signals
Change management sponsorship
Cross-functional alignment
What You Receive

Your personalized AI readiness report

Not a generic checklist. A scored assessment based on your specific organization, benchmarked against comparable enterprises from our practice history.

Readiness score across all 6 dimensions
Each dimension is scored on a 1 to 5 scale based on your responses, with a composite readiness score and a percentile ranking against comparable organizations from our benchmark database.
Specific gap analysis
The report identifies your 2 to 3 most critical readiness gaps and explains why they represent the highest risk to your AI program success, with evidence from comparable deployments.
Prioritized use case recommendations
Based on your industry, organization size, and current readiness profile, the report recommends 3 to 5 AI use cases that match your current capabilities and offer the highest probability of production success.
90-day action plan
A concrete sequence of actions for the next 90 days designed to move your organization from your current readiness score to the threshold needed for successful production deployment of your first AI use case.
Benchmarks from comparable enterprises
Your scores are benchmarked against 200+ enterprises we have previously assessed, segmented by industry and company size. You see exactly where you stand relative to organizations that have successfully deployed AI.
Optional 30-minute debrief call
Every assessment recipient has the option to schedule a 30-minute debrief with a senior partner to discuss the findings. This is optional, not automatic, and carries no sales obligation.
Our Track Record

The benchmark behind the assessment

200+
Enterprises Benchmarked
94%
Production Deployment Rate
340%
Average Client ROI
48hrs
Report Delivery Time

"We completed the free assessment expecting a generic checklist. What we received was a 12-page report that identified three specific data infrastructure issues we had not considered, correctly predicted the governance gap that would delay our deployment, and recommended a use case sequence that we subsequently followed. Two of our three recommended use cases are now in production."

CDO testimonial
Chief Data Officer
Fortune 500 Manufacturing Company
Right For You If...

This assessment is designed for

CIOs and CTOs who are being asked to build an AI strategy and need an honest baseline assessment before committing to a direction or a budget.
CDOs and data platform leaders who need to understand whether their existing data infrastructure is actually sufficient to support the AI use cases the business is requesting.
CFOs and finance leaders who need a credible readiness baseline before approving significant AI investment, and want an independent view rather than a vendor-sponsored assessment.
AI program leaders who have an existing AI initiative but suspect there are readiness gaps they have not fully addressed, and want an outside perspective before the next phase of investment.
Board members and non-executive directors who sit on boards with AI programs and need an independent framework for evaluating management's AI readiness claims.
Executives in regulated industries including financial services, healthcare, and insurance who need to understand their governance readiness for AI alongside technical readiness.
Common Questions

About the free assessment

What exactly is included in the free assessment report?
The report covers your scored readiness across all 6 dimensions (Data Maturity, Technical Infrastructure, Organizational Capability, AI Governance, Use Case Clarity, and Leadership Alignment), a composite readiness score with percentile benchmark, a specific gap analysis identifying your 2 to 3 highest-risk readiness gaps, 3 to 5 prioritized use case recommendations calibrated to your current capabilities, and a 90-day action plan. Reports average 10 to 14 pages. The assessment is produced by a senior practitioner, not automated software.
Is this actually free? What is the catch?
The assessment is genuinely free with no strings attached. We produce it because it generates useful intelligence for us about the market, and because a significant percentage of assessment recipients become advisory clients when the report identifies issues they want to address. There is no automatic follow-up sales call unless you opt into the optional 30-minute debrief. You will not be added to a marketing email list without explicit consent.
Who produces the assessment report?
A senior partner reviews your submission and produces the report personally. We do not use automated scoring tools or junior analysts for this work. This is why the report takes 48 hours rather than being instant: it is being read and analyzed by a practitioner who has conducted more than 50 similar assessments and can contextualize your situation accurately.
How is this different from a vendor assessment or tool-based self-assessment?
Vendor assessments are designed to identify where their products can help you, not where your program is genuinely at risk. Tool-based self-assessments rely on self-reporting without the external context needed to interpret the answers accurately. Our assessment is produced by practitioners who have seen how the same answer to "how mature is your data infrastructure?" translates into radically different production outcomes depending on the specific context, industry, and use case.
We have already done an AI readiness assessment with another firm. Is this worth doing again?
It depends on what that assessment covered and who produced it. If the previous assessment was produced by a vendor with platform interests, a consulting firm using a standardized framework, or a team without hands-on production AI experience, the answer is often yes. The specific gaps we identify most frequently — data infrastructure quality at production scale, governance readiness for regulated industries, and MLOps infrastructure maturity — are consistently underweighted in standard framework assessments.
What happens to the information I provide?
Your information is used only to produce your assessment report and, if you request it, for the optional follow-up conversation. It is never shared with third parties, vendors, or technology partners. We do not sell data. Your information is retained for internal benchmarking purposes only, in anonymized aggregate form after your assessment is complete.
Free · No Obligation · 48-Hour Turnaround

Know where you stand before you invest further

Most organizations overestimate their AI readiness by 2 to 3 dimensions. The ones that find out early course-correct before the expensive failures. The ones that find out late explain those failures to their boards.