EIS Assessment Tools
Most enterprise AI initiatives fail because the knowledge foundation needed to make them useful was never built, or is too scattered and disorganized to support what AI actually needs. Industry data puts generative AI failure rates between 30% and 95%, and the pattern is consistent: organizations invest in AI platforms before they understand whether their content, terminology, and governance can support what they're trying to build.
Generic AI readiness surveys don't measure the things that actually determine success. Our assessments do. Grounded in 30+ years of information architecture and knowledge engineering practice, each EIS tool produces a baseline score, exposes specific gaps, and feeds a prioritized remediation roadmap.
Three tools, three levels of depth. Choose the one that fits where you are.
AI Readiness Quick Check
A fast, self-guided diagnostic for leaders who want a directional read on where their organization stands before committing to a deeper engagement. You'll get a snapshot readiness score, the top gaps holding your AI initiatives back, and a recommendation on where to focus next. Built for executives, program leads, and teams scoping AI investments who need clarity in minutes, not weeks.
AI Readiness Enterprise Assessment
The comprehensive diagnostic for organizations serious about getting AI right. A 74-question framework evaluates your readiness across four domains, Knowledge, Operational, Technical, and Governance, scored against 17 factors and a five-level maturity model. You'll receive a full baseline score with domain-level breakdowns, prioritized gap analysis, industry benchmarks, and a strategic roadmap built for CDOs, CIOs, and transformation leaders scoping multi-year AI programs or defending investment cases to the board.
AIRR-10 (AI Retrieval Readiness Assessment)
A 10-dimension evaluation of whether your content can actually be discovered, retrieved, understood, and accurately cited by AI, across public search, enterprise RAG, and AI assistants and chatbots. You'll receive document, page, and corpus-level scores rated Excellent, Strong, Moderate, Weak, or Critical, along with targeted remediation guidance for every gap. Built for content, digital, and knowledge leaders whose AI use cases depend on existing content performing reliably in retrieval.