Assess people capability without mistaking it for full organizational readiness.

Workforce AI readiness has three components: whether your PEOPLE can use AI effectively, whether your INFRASTRUCTURE supports it, and whether your GOVERNANCE manages it safely. Emeri measures the first — individual AI proficiency — but does not assess infrastructure maturity or policy frameworks.

Three dimensions of AI readiness

People capability is individual and team proficiency: whether employees can write clear prompts, check AI output for errors, integrate AI into workflows, and recognize when NOT to use AI. This is what Emeri measures through practical, role-calibrated scenarios.

Infrastructure readiness is tooling and systems: whether your organization has chosen AI platforms, integrated them with existing workflows, provided employees access to appropriate tools, and maintained performance and security at scale. Emeri does not assess infrastructure.

Governance readiness is policy and oversight: whether your organization has clear rules for AI use, processes for reviewing high-risk decisions, compliance frameworks for regulated industries, and accountability when AI systems cause harm. Emeri does not assess governance maturity.

What Emeri provides

Emeri assesses individual AI proficiency across six practical competencies. The free check gives each person a private grade and six-skill profile. Certification turns results into verified credentials with badges and public proof pages that employers can check instantly.

For teams, the current product supports individual assessments and credential verification. Aggregate reporting, departmental benchmarking, and progress tracking are not currently available. Organizations interested in a future team program can contact support@emeri.org to discuss options. See the Teams page for details.

What Emeri does not provide

Emeri does not assess infrastructure or governance readiness. It does not evaluate which AI platforms your organization has chosen, how tools are integrated with existing systems, or whether policies exist for high-risk AI use cases. Organizations need separate assessments for those dimensions.

Using proficiency data to inform readiness

Individual proficiency results can inform broader AI readiness decisions. If participants choose to share comparable results, an organization may identify recurring capability gaps before rolling out new AI tools. Emeri does not currently produce department-level analysis; any organizational comparison must be compiled separately and handled with appropriate consent.

The AI Skills Gap Analysis page describes how to use assessment data to identify capability gaps and prioritize training investments.

A staged approach to AI readiness

Organizations building AI readiness typically proceed in stages: establish baseline proficiency through assessment, address capability gaps through training, pilot AI tools with high-proficiency teams, develop governance frameworks as use expands, and reassess periodically to track progress and identify new gaps.

Emeri supports individual proficiency measurement. Infrastructure, governance, and workforce development require additional expertise — consult with platform vendors, IT leadership, and legal/compliance teams as appropriate for your industry and risk profile.