Structured intelligence from the people doing the work.
The institute's research function does one thing well: structured qualitative interviews with senior operators at the Fortune 500 and the AI platform vendors who serve them. Findings inform the published reports, the custom engagements partners commission, and the standing intelligence we deliver to subscribers. The work is operator-grade. It is built for people making the decision, not for people writing the briefing deck.
Methodology
Every engagement begins with a structured interview protocol designed around the question being asked. We recruit senior operators, typically VPs, SVPs, and C-suite, at the companies that actually face the decision. Interviews are conducted by trained researchers, not by salespeople.
Sessions are scheduled for an hour and are recorded with consent. Quantitative validation comes through structured polling of the broader executive community we have built. Synthesis turns raw transcripts into the findings that inform reports, custom engagements, and standing intelligence.
Findings are reported in aggregate and de-identified. We do not attribute statements to named individuals or sell identifiable board content without separate written consent.
Corpus
Our partnership with more than sixty universities means our advisory boards carry the names of the institutions we serve, and the people in the room lead at the companies shaping what comes next.
Our published research, the AI Readiness Gap and the AI Skills Gap, draws on direct survey responses from executives across this community. The finding that holds across both: the strategy gap is wider than the skills gap.
Custom engagements
Most of the institute's research is commissioned by AI platform vendors, large enterprises, and investment firms with a specific question that the public reports do not answer. Custom engagements come in three tiers, distinguished by scope, sample size, and depth of synthesis.
The smallest tier is appropriate for sector-specific or function-specific intelligence on a defined question.
The middle tier supports broader portfolio decisions and layers structured quantitative polling on top of qualitative interviews.
The largest tier is built for organizations evaluating a major directional decision over several quarters, with multiple cohorts of interviews and embedded analyst time.
All three begin with a discovery conversation that defines the question and scopes the work. Pricing is shared during that conversation.
Subscription intelligence
Subscription intelligence is a standing relationship with the institute for organizations that need continuous signal rather than one-time research. Subscribers receive monthly briefings drawn from the most recent additions to the corpus, access to the corpus for their own analyst teams, quarterly executive sessions with the institute's principal researchers, and curated introductions, with the consent of the operators involved.
The subscription is built for AI platform vendors, large enterprises with active AI portfolios, and investment firms with AI-heavy theses. Annual commitment. Single seat or organization-wide.
Published research
The institute publishes the work it considers most useful to the broader field, free to read, no registration required. Current reports cover AI readiness in the Fortune 500, the AI skills gap in the workforce, and the agent readiness gap in the enterprise. New reports are released as the corpus supports them, typically one or two per year.
The published library is the strongest single signal of what the institute actually does.
Start with a discovery conversation.
Tell us what you are trying to decide and what you have already considered. We will tell you whether commissioned research is the right answer, which tier fits, and what the next thirty days would look like. The first conversation is one hour. Pricing is shared in that conversation if there is a fit.