From mandatory AI literacy to deep platform proficiency, training programs calibrated to skill maturity and delivered through our network of vetted consulting partners.
All training is delivered through our network of vetted consulting partners and adapted to the skill maturity of each audience.
For anyone interacting with AI systems. AI fundamentals, governance awareness, responsible use, escalation procedures, and basic platform navigation.
For engineers, data scientists, and product managers. Risk classification, provider and deployer obligations, documentation requirements, and control assessments.
For C-suite, board members, and senior decision-makers. Regulatory landscape, dashboard reading, organizational accountability, and governance communication.
For compliance, legal, and audit teams. Obligation mapping, cross-framework alignment, full platform proficiency, audit preparation, and program operations.
AI literacy refers to the knowledge and skills needed to understand how AI systems work, what their limitations are, and how to interact with them responsibly. Under current AI regulations, organizations that develop, deploy, or use AI systems are legally required to ensure that all staff involved with those systems have a sufficient level of AI literacy. This is not a best practice or a recommendation. It is a legal obligation. Failure to demonstrate adequate AI literacy across your workforce creates regulatory exposure during audits and enforcement actions. Our AI literacy program covers AI fundamentals, governance context, ethical considerations, bias awareness, responsible use, and a clear framework for recognizing, reporting, and escalating AI-related concerns. Completion is recorded as evidence for audit and compliance purposes. This program is the mandatory foundation that every employee completes before moving to any specialized training track.
Everyone who interacts with an AI system in your organization has a training obligation. This is not limited to technical teams. Business and operations teams need AI literacy fundamentals, responsible use guidelines, and escalation procedures. Product and engineering teams need training on risk classification, documentation requirements, and how to complete assessments. Compliance, legal, and risk teams need regulatory deep dives, framework management skills, and audit preparation. Leadership and board members need governance posture overviews, dashboard interpretation, and an understanding of regulatory exposure. Procurement and vendor management teams need training on third-party AI obligations, deployer responsibilities, and vendor assessment. HR and people teams need to understand AI literacy obligations as they relate to hiring, performance management, and workforce AI tools. The content and depth differ by role, but the obligation is the same across the entire organizational spectrum.
Training is structured into four tracks, each calibrated to the skill maturity of the audience. General users receive AI literacy fundamentals with no technical background required. Technical teams receive governance training built on their existing technical literacy, covering risk classification, provider and deployer obligations, documentation requirements, and control assessments. Executive leadership receives strategic governance literacy covering the regulatory landscape, dashboard reading, organizational accountability, and how to communicate governance posture externally. Governance practitioners receive advanced training covering obligation mapping, cross-framework alignment, full platform proficiency, audit preparation, and governance program operations. Every participant gets exactly the depth they need, no more and no less.
Training engagements follow a four-stage sequence adapted to your organization’s size and maturity. Stage one is a training needs assessment: your organization’s roles are mapped against AI system interactions to determine which tracks apply to each group, producing a training plan with audience segmentation, content scope, and a delivery schedule. Stage two is the AI literacy rollout: mandatory AI literacy training is delivered to all relevant personnel, adapted to each audience segment, and delivered live, in workshops, or through recorded materials depending on team size and distribution. Stage three covers technical and practitioner training: specialized hands-on sessions where technical teams and governance practitioners work on real systems in the platform, complete actual assessments, and practice the workflows they will use daily. Stage four is reinforcement and knowledge transfer: internal champions are identified and trained to deliver ongoing onboarding for new hires, reference materials and standard operating procedures are documented in the platform, and refresher sessions are scheduled as regulations evolve.
All training is delivered through our network of vetted consulting partners. Formats include live sessions (interactive, remote or on-site, tailored to your AI portfolio and frameworks, with groups segmented by role and skill level), hands-on workshops (participants work through real assessments on their own AI systems, learning by doing), recorded materials (video walkthroughs, documentation, and guides available in the platform for async teams and future onboarding), train-the-trainer programs (internal champions are trained to deliver AI literacy and platform onboarding to the rest of the organization), and blended programs combining live and self-paced formats for large rollouts. Some teams need a half-day workshop. Others need a multi-week rollout across hundreds of employees. The format is scoped to your organization’s size, distribution, and timeline.
All training engagements are delivered through our network of vetted consulting partners: governance specialists, regulatory experts, and compliance professionals selected for their depth in AI regulation and hands-on platform experience. We match the right partner to your organization’s industry, regulatory context, and technical environment.
Training completion is recorded and available as audit evidence. When regulators or auditors ask whether your organization has fulfilled its AI literacy obligations, you can demonstrate that training was delivered, that it was adapted to each role’s context, and that it covered the required fundamentals. Training records are captured for compliance documentation purposes.
Yes. The train-the-trainer format is specifically designed for organizations that want to scale internally. Internal champions are trained to deliver AI literacy and platform onboarding to the rest of the organization, including future new hires. Reference materials and standard operating procedures are documented so your team has a single source of truth for how training should be conducted after the initial engagement ends.
Duration depends on your organization’s size, the number of AI systems in your portfolio, and the number of audience segments that need training. A focused engagement for a small team can be completed in days. A full rollout across a large enterprise with multiple tracks and hundreds of participants can span several weeks. Every engagement is scoped during the initial training needs assessment, with a clear delivery schedule agreed before training begins.
Regulations evolve and AI portfolios grow. Refresher sessions are built into the engagement model so your team stays current as new requirements come into effect or new systems are added to your portfolio. Internal champions trained through the train-the-trainer program can also deliver updated onboarding as needed.