Your people are using AI. Can you prove it is improving the work?
Most organizations deploy AI across teams with no way to tell if it changed behavior or results. ZAI builds university-credentialed programs tied to the decisions your people make every day, with assessments that show what changed.
Enterprise AI training is mostly bad. The market is full of webinars that do not change behavior, frameworks that do not survive contact with the work, and credentials that nobody respects. The institute does something different. We build programs that look like university executive education because that is what they are, delivered through partner universities, taught by faculty, with operator-grade content that travels back to the desk.
Workforce AI training
Broad-audience programs designed to lift the AI capability of the people who do the work. The format is a cohort, not a webinar. Participants commit to live sessions over four to eight weeks, with faculty leading and operators contributing.
Content is built for the role, not the headline: what the AI tools actually do, what they do not, and where human judgment still matters most. Cohorts run as a series of waves so leadership can absorb and apply between groups.
Executive workshops
Half-day, one-day, and multi-day formats for senior leaders. Built for the people who decide where AI capital goes and how the workforce is asked to change.
Topics include enterprise AI strategy, AI risk and governance, AI in customer operations, and AI in product development. The default format is a working session: short briefings from faculty and operators, then structured work on the participant's actual problem.
Outputs are decisions and next-step commitments, not slides.
Custom curriculum
When standard programming does not fit the organization, we build for the sector. Custom curriculum is appropriate when the workforce challenge is industry-specific (financial services compliance, healthcare clinical adoption, regulated manufacturing) or when the organization wants its own internal taxonomy threaded through every program.
A custom build typically adds a few weeks to the timeline depending on depth. The faculty pool draws from the same university partners, so academic integrity is consistent with everything else the institute delivers.
Advisory network access
Senior leadership at partner organizations gain access to the institute's advisory network: a community of senior executives across more than five hundred companies, guided by a board of named senior operators. Access takes the form of standing roundtables, one-on-one introductions, and confidential peer briefings on what other companies are actually doing with AI.
The network is the part of the partnership that survives the program.
Outcomes
Partners typically see three things.
Capability uplift across the cohort, measured by program assessments and by management feedback over the months that follow.
Project velocity, especially on AI initiatives that were stalled because the team did not have the confidence to ship.
Internal community: a group of people who now share a vocabulary, a set of references, and a working relationship that did not exist before.
We do not promise transformation. We promise that the people who finish are different than the people who started.
A discovery conversation.
Tell us what the workforce needs to be able to do, by when, and what your constraints are. We will tell you whether our partner universities can build the program you need, what a first cohort would look like, and what you would commit. Start with a 20-minute fit call.