OneRange

Smarter training for ai skills

Most organizations need one thing before anything else: everyone able to use AI competently and safely in their own job. Vero delivers that as a personalised path per employee across ChatGPT, Claude, Microsoft Copilot, Gemini, and Grok, then measures who can actually do it.

What every employee trains on

The core path is short and practical: how generative AI works in plain terms, prompting essentials, verifying output, privacy and data handling, and building a daily working habit. From there people branch into the assistant their organization has standardized on and the tasks their role involves.

Because sessions adapt, the same path works for someone who has never opened a chat assistant and someone who has been using one daily for a year — the second person is not made to sit through the first person's explanation.

Tool coverage without tool lock-in

Courses exist for each major assistant, so training matches whatever the organization has deployed, and the transferable skills — prompting, context, verification, judgment — carry across tools as the market shifts.

Proficiency is measured per skill, so leadership can see baseline AI fluency across the workforce rather than a licence count.

How training is delivered and measured

Every session is a conversation, not a video. Vero explains a concept, works an example, then checks understanding with a question, a scenario, or a role-play — and adapts the next step to the answer. Someone who already knows the material moves quickly; someone who does not gets a second explanation in different terms.

Results roll up against the OneRange skill taxonomy of more than 10,000 skills, so a manager sees measured proficiency per person and per skill instead of a completion percentage. That is the difference between knowing a course was finished and knowing the work can now be done.

  • Adaptive sessions that adjust to prior knowledge instead of running a fixed script
  • Assessments that measure proficiency against named skills, not course completion
  • Analytics that show managers where capability gaps remain across the team
  • Training can be grounded in your own documentation, with citations back to the source

Rolling this out for your ai skills team

Rolling out Vero for your AI skills team begins with a baseline assessment. This gauges current proficiency across generative AI tools and responsible use. A pilot group from the team, perhaps managers or leads, then engages with Vero's adaptive paths. They build foundational knowledge and practice prompting techniques for their specific workflows, such as developing internal AI guidelines or evaluating new model outputs. This initial phase helps refine the training content to best suit your team's unique operational needs.

After a few weeks, managers can observe a clear understanding of AI capabilities and limitations within the pilot group. They will see improved consistency in prompt engineering and a greater awareness of data privacy during AI tool usage. Once this initial success is established, the program expands to the full AI skills team. Vero continues to adapt training for each team member, addressing specific gaps identified through their interactions, ensuring everyone achieves and maintains the necessary competence for their roles.

Skills this training builds

  • AI foundations and how generative models work
  • Prompting essentials and context
  • Fact-checking and verifying output
  • Privacy, security, and responsible use
  • Daily productivity habits with an assistant

Example courses from the Vero AI Catalog

Browse the full Vero AI Catalog or see how the wider OneRange platform assesses, trains, and measures skill across the workforce.

Further reading