Is Your Organization Ready for Agentic AI? Take This Free Assessment to Find Out

Most executives today face the same challenge: they know agentic AI will transform how work gets done, but they don't know if their organization is ready to make the leap from experimentation to production deployment.

The gap between running a successful pilot and deploying autonomous agents at scale is larger than most leaders realize. It's not just about having good data or smart developers. Organizations that successfully deploy agentic AI have built readiness across six critical dimensions, from technical infrastructure to governance frameworks to team capabilities.

That's why we created the Agentic AI Readiness Assessment, a free tool that helps executive leaders understand exactly where their organization stands and what they need to do next. The free assessment is based on the eBook “The Complete Agentic AI Readiness Assessment” that we published in December 2025 (available on Amazon).

What Makes This Assessment Different

Unlike generic AI maturity models, this assessment focuses specifically on what it takes to deploy autonomous agents that can perform job functions with minimal human intervention. It's based on research with over 440 enterprise organizations and synthesizes the patterns we've seen across successful and struggling implementations.

The assessment takes 10-15 minutes to complete and provides immediate results. No email required to see your score, though you can opt in for a detailed PDF report if you want deeper analysis.

The Six Dimensions of Agentic AI Readiness

The assessment evaluates your organization across six critical areas:

Organizational Maturity examines how your organization thinks about automation and decision-making. Are you still primarily reactive, or have you built the muscle for autonomous operations? The difference between organizations that view AI as task automation versus those that think about digital workers handling complete job functions shows up clearly in deployment success rates.

Technical Infrastructure looks at whether your systems are ready to support agents operating at enterprise scale. This includes API accessibility, data quality, scalability, security controls, and observability infrastructure. Many organizations discover that their current infrastructure, while adequate for traditional applications, needs significant enhancement to support autonomous agents.

Team Capabilities assesses whether you have the right skills in place. This isn't just about AI expertise. It includes operations teams that can manage complex autonomous systems, business analysts who can identify high-value agent opportunities, and a systematic approach to building capabilities you don't yet have.

Governance and Risk Management evaluates your ability to deploy agents safely and responsibly. Can you explain and audit agent decisions? Do you have clear policies for AI use? Are you prepared for regulatory requirements? These capabilities separate organizations that scale successfully from those that hit compliance walls.

Use Case Clarity determines whether you've identified specific, high-value opportunities and built stakeholder alignment around them. Vague aspirations about "using AI" don't drive successful deployments. Clear use cases with validated business value do.

Readiness to Execute looks at whether you have the resources, timeline, and organizational commitment to move forward. Pilot projects languish when they lack dedicated resources and executive sponsorship.

Four Readiness Levels with Specific Guidance

Based on your total score across these dimensions, the assessment places you in one of four readiness levels:

Early Explorers (25-50 points) are in the foundation-building stage. These organizations should focus on education, small-scale automation projects, and beginning to build core capabilities. Timeline to production deployment: 9-18 months.

Capable Builders (51-75 points) have moderate readiness with specific strengths and gaps. They're positioned to launch focused pilots but need to address capability gaps before broad deployment. Timeline to production: 3-9 months.

Production Ready organizations (76-100 points) have strong readiness across most dimensions and should focus on execution and scaling. Timeline to first deployment: 1-3 months.

Advanced Practitioners (101-125 points) have mature capabilities and are likely already implementing agentic AI. Their focus should be on optimization, cost efficiency, and expanding to additional use cases.

What You'll Learn

Your results include your overall readiness score, a breakdown by each of the six dimensions, identification of your strongest areas and biggest gaps, and personalized recommendations for your next steps.

The assessment also shows you your critical path, the primary constraint limiting your progress. This single insight often clarifies months of internal debate about priorities.

Most importantly, you'll understand whether you're ready to proceed with deployment or need to build specific capabilities first. This prevents the common mistake of rushing into production before you're ready, which usually results in failed pilots and eroded confidence in AI initiatives.

Why This Matters Now

The organizations that move decisively on agentic AI in 2025 will build competitive advantages that compound over time. They'll reduce operational costs, improve service quality, and free their human workforce to focus on higher-value work.

But moving decisively doesn't mean moving recklessly. It means understanding your readiness, addressing your gaps systematically, and deploying agents where you have the capability to succeed.

The assessment is designed to give you that clarity in 15 minutes.

Take the Assessment

Visit arionresearch.com/readiness-assessment to get started. You'll receive your results immediately, with no email required unless you want the detailed PDF report.

Whether you're just beginning to explore agentic AI or already running pilots, the assessment will show you where you stand and what to do next. In a landscape where most organizations are still figuring out their approach, that clarity is worth considerably more than 15 minutes of your time.

Michael Fauscette

Michael is an experienced high-tech leader, board chairman, software industry analyst and podcast host. He is a thought leader and published author on emerging trends in business software, artificial intelligence (AI), agentic AI, generative AI, digital first and customer experience strategies and technology. As a senior market researcher and leader Michael has deep experience in business software market research, starting new tech businesses and go-to-market models in large and small software companies.

Currently Michael is the Founder, CEO and Chief Analyst at Arion Research, a global cloud advisory firm; and an advisor to G2, Board Chairman at LocatorX and board member and fractional chief strategy officer for SpotLogic. Formerly the chief research officer at G2, he was responsible for helping software and services buyers use the crowdsourced insights, data, and community in the G2 marketplace. Prior to joining G2, Mr. Fauscette led IDC’s worldwide enterprise software application research group for almost ten years. He also held executive roles with seven software vendors including Autodesk, Inc. and PeopleSoft, Inc. and five technology startups.

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