Free AI Readiness Assessment
AI is transforming industries, but many organizations find adoption unclear, complex, and overwhelming. Start with a free AI readiness assessment to uncover opportunities, identify gaps, and build a clear, actionable path forward.
What's included in your free assessment?
Scored maturity rating
Your readiness across all seven dimensions on a 1–5 scale, with a clear view by dimension and overall, including gaps that may limit deployment at scale.
Top impact recommendations
A 90-day roadmap
Practical, sequenced next steps you can act on. Concrete enough to start immediately and designed to move from planning to execution.
Now's the time to align AI to your goals and processes.
Most AI projects stall not because of technology, but because of unclear goals, poor alignment, fragmented ownership, and lack of governance.
This free AI Readiness Assessment will provide you with:
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An honest assessment of where your organization sits today across seven AI readiness dimensions.
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The two or three changes that would unlock the most progress for your specific situation.
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A 30-minute session to walk through the report together, answer questions, and align on next steps toward a secure and governed production environment.
"I rely heavily on others who focus on their secret sauce in order to provide the services the organization needs in an efficient, cost-effective, timely manner. Using partners is always helpful, and I couldn't do what I do if I didn't have the support."
– Michael Wilson, Executive Director of IT & Chief Security Officer, Archdiocese of Washington
How you will be evaluated
This AI assessment measures your organization’s preparedness for AI adoption across seven key domains including the strategic, organizational, and technical aspects of your AI readiness.
Business Strategy
How AI is positioned as a strategic priority — investment, use cases, security framing.Organization and Culture
Leadership posture, AI skills, decision agility, expertise depth, security mindset.AI Strategy and Experience
Model selection rigor, development workflows, team capability, security alignment.Data Foundations
Cloud infrastructure, governance, ingestion, quality, integration, privacy, metadata.AI Governance & Security
Transparency, compliance, ethics, training — the responsible-AI control plane.Infrastructure for All
Provisioning, scaling, deployment, cost, monitoring of AI workloads.Model Management
The full ML lifecycle — EDA through fine-tuning, monitoring, and prompt flow.Most organizations aren't getting real business value from AI
83%
of companies say AI is their top priority.
– Forbes
12%
of AI pilots make it to production.
–IDC
1%
of companies call themselves "mature" on the AI deployment spectrum.
– McKinsey & Company
See exactly where you stand with your free AI Readiness Assessment


Here are your top 3 recommendations (example):
Governance
Establish AI-specific data governance.
Your compliance governance is mature; what you need is an AI-specific extension that addresses lineage, classification, ownership, and access for AI workloads specifically.
First step in the next 30 days:
Nominate an AI Data Owner with cross-functional authority and begin a 60-day data classification sprint focused on the data feeding your current Copilot pilots.
Investment
Formalize the AI investment plan.
Your AI spend today is ad-hoc, drawn from project budgets. Convert it to a discrete budget line with a multi-year horizon, executive sponsorship, and a documented prioritization process for new use cases.
First step in the next 30 days:
Have your CFO and you co-author a one-page AI investment principle that goes to the board in your next strategic update.
Compliance
Extend your compliance framework to cover AI risk.
Don't build AI governance from scratch — extend what already works. Take your existing FINRA-aligned compliance framework and add the AI-specific layers: model usage approval, prompt logging, bias monitoring, third-party data sharing for training.
First step in the next 30 days:
Convene your Chief Compliance Officer and your data scientist for a 90-minute workshop on AI risks specific to your business; produce a one-page addendum to existing policy.
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