Manufacturers are under growing pressure to find practical ways to use artificial intelligence. However, before investing in new AI tools, it’s important to understand whether your operational foundation is actually ready to support them. That’s exactly why we created the Manufacturing AI Readiness Assessment.

The promised benefits of AI are significant: better forecasting, reduced downtime, improved quality, faster troubleshooting, more efficient maintenance, and stronger operational decision-making.

However, successful AI adoption depends on far more than selecting the right platform or identifying an interesting use case.

It depends on the foundation underneath it.

A practical way to evaluate your foundation

The Manufacturing AI Readiness Assessment helps manufacturers evaluate the operational, technical, and organizational capabilities required to support successful AI adoption. The assessment focuses on the operational foundations that support trustworthy AI adoption, which aligns with principles outlined in the NIST AI Risk Management Framework.

Rather than focusing only on AI tools, the assessment examines five foundational areas:

Data Foundation

Is production data collected consistently, stored accessibly, and trusted by the people using it?

AI cannot produce reliable insight from incomplete, inaccurate, or inaccessible information.

Systems and Connectivity

Can information move effectively between equipment, production systems, and enterprise platforms?

Connected PLC, SCADA, historian, MES, quality, and ERP environments create the context AI needs to generate useful recommendations.

Operational Maturity

Are workflows standardized, measurable, and repeatable?

AI performs best when the processes it analyzes are stable enough to identify meaningful patterns and evaluate improvement opportunities.

People and Governance

Does your organization have clear ownership, leadership alignment, cybersecurity practices, and employee support?

Even the strongest technical solution will struggle without the governance and organizational readiness required to sustain it.

AI Readiness

Has your organization identified realistic use cases, measurable outcomes, and teams capable of acting on AI-generated recommendations?

The goal is not simply to deploy AI. It is to apply it where it can create measurable operational value.

What participants receive

The assessment includes 25 questions and takes approximately five minutes to complete.

Participants immediately receive:

• An overall Manufacturing AI Readiness Score
• A readiness level based on their results
• Individual scores across all five categories
• A visual readiness profile
• Four prioritized areas for improvement
• A personalized recommendation based on their greatest gap
• A downloadable executive report with practical next steps

The assessment takes about five minutes, and your report is available immediately.

We intentionally didn’t put it behind an email form because the goal is to give manufacturers something genuinely useful, not another excuse to fill your inbox with automated follow-ups. If the assessment raises questions or you’d like to discuss your results, you can always reach out when the time is right.

AI readiness is not a technology question alone

One of the biggest misconceptions about manufacturing AI is that readiness begins with the AI application itself.

In reality, readiness often begins much earlier.

It may begin with replacing paper-based production records, improving data quality, integrating disconnected applications, standardizing KPI definitions, clarifying ownership, or strengthening OT cybersecurity.

These improvements are valuable even before AI enters the picture.

They create more visibility, reduce manual effort, improve decision-making, and make future technology investments easier to scale.

AI does not eliminate the need for strong operational foundations. Instead, it makes those foundations even more important.

A better place to start

Manufacturers do not need to have every system fully modernized before exploring AI.

They do, however, need an honest understanding of their current capabilities.

The Manufacturing AI Readiness Assessment is designed to provide that starting point.

It is not a replacement for a detailed technical discovery process or site-specific assessment. It is a directional diagnostic that can help teams identify strengths, expose potential barriers, and prioritize the improvements most likely to increase the value of future AI investments.

Find out where your factory stands

Before selecting an AI platform, launching a pilot, or committing to a large transformation initiative, take five minutes to evaluate the foundation that will determine whether the investment succeeds.

Take the complimentary Manufacturing AI Readiness Assessment and receive your personalized readiness score and executive report.

Take the Assessment