A data-backed diagnostic that quantifies your organization's AI inaction risk, benchmarks your readiness across seven strategic dimensions, and maps a time-sequenced roadmap for what to do next.
The window for proactive AI leadership is open now — and narrowing. Every quarter of inaction compounds into a structural disadvantage. The Cogitant AI Exposure Index™ tells you exactly where you stand.
Built on David Dickinson's 7 C's of AI framework — a diagnostic methodology for mid-market leaders that translates abstract AI risk into an actionable organizational score.
Do you know exactly which problems AI should solve, and where it shouldn't? Strategic clarity separates high-ROI adopters from expensive experiments.
Does your organization's human environment support adoption — or resist it? Cultural readiness predicts implementation success more than technology choices.
Do you have the skills at leadership, operational, and technical levels to deploy and govern AI effectively? Gaps here are the #1 reason adoption stalls.
Do you have clean, proprietary data assets that can power AI? Organizations with differentiated data hold structural advantages that competitors cannot purchase.
Are you tracking how AI is reshaping your market and customer expectations? The shift in buyer behavior is already underway — often before revenue data shows it.
Do you have governance for the legal, regulatory, and ethical risks? With 741 AI bills introduced across 30 states in 2026, this dimension is no longer optional.
Can you sustain AI adoption beyond the pilot? Most organizations launch successfully and stall. Continuity determines whether AI becomes operational infrastructure or a failed experiment.
Based on observed divergence between AI-adopting and non-adopting organizations, cross-referenced with McKinsey, Goldman Sachs, WEF, and Forrester research — April 2026.
No technical expertise required. No consultant required. Enter your company's context, rate your organization on each dimension, and receive a complete risk profile.
Enter your access code and accept the Terms of Use. Your results are protected under Cogitant's proprietary methodology.
Enter your company name, industry, revenue, headcount, and contact. Industry auto-detects your AI disruption risk tier.
Rate your organization 1–5 on each dimension using the guided scale with failure patterns and anchors. Takes 5–7 minutes.
Your AI Exposure Index™ score, scenario trajectory, dimension breakdown, revenue at risk, and a time-sequenced action roadmap.
A complete risk analysis requires equal rigor in identifying where human expertise remains structurally irreplaceable — and where your organization should concentrate investment.
AI excels at pattern matching over historical data. It fails when encountering genuinely novel circumstances or ethical dilemmas without clear precedent.
AI gives advice with no accountability. In any domain where advice carries legal or financial consequences, the value of accountable professionals may actually increase.
High-stakes decisions are made based on trust in a relationship. Long-standing client relationships hold structural advantages AI-native competitors cannot purchase.
AI tools lag regulatory change. Human experts who track evolving state and federal law in real time hold a durable advantage — but only if actively maintained.
Adversarial contexts — litigation, labor negotiation, regulatory advocacy, deal-making — require dynamic, context-sensitive judgment that AI cannot reliably perform.
The social value of professional community — peer networks, certifications, cohort benchmarking — addresses a fundamental human need that AI does not.
The Cogitant AI Exposure Index™ scoring methodology is informed by economy-wide research from leading institutions. All sources are publicly available research published 2024–2026.
The Cogitant AI Exposure Index™ takes under 10 minutes. The insight it produces can reshape your next 36 months.