As AI becomes increasingly embedded in everyday work, organisations face a new onboarding challenge. It's no longer enough to simply provide access to AI tools. New starters also need to understand where AI fits within their role, which tools they are authorised to use, and how to use them in line with company policies and expectations.
Many employers have already invested in AI platforms, developed governance frameworks and identified use cases across their business. But, the value of those investments can quickly be undermined if employees aren't given the right guidance from the moment they join.
With new starters arriving with varying levels of AI experience, onboarding plays a critical role in building confidence, encouraging adoption and reducing risk. Without clear guidance, employees may be unsure which tools to use, what information can be shared, and how AI should support their work.
As Emma Gibson, People Capability Partner and Early Careers Lead at Evri, explained: "There's a lot of transformation happening from an AI perspective. Because of that, having a basic understanding of AI is becoming increasingly important. We're actually looking at delivering AI training as part of our early careers onboarding so people are using it from day one and understand how it should and shouldn't be used."
Set expectations from day one
As AI becomes a standard workplace tool, new starters need clear guidance from the outset on how it fits into their role and the wider organisation. Onboarding should explain where AI is being used, which tools employees are authorised to use, and the expectations around responsible use.
Employees should also understand how organisational policies apply to AI in practice. This includes what information can be entered into AI tools, what must never be shared, and any relevant compliance, regulatory or approval requirements.
Providing this clarity from the outset helps employees adopt AI with confidence while reducing the likelihood of inconsistent practices or unauthorised tool usage.
Teach new starters to think critically
One of the biggest misconceptions about AI is that its outputs are always accurate and reliable. In reality, AI-generated content should be reviewed, challenged, and verified before it is acted upon.
New starters should also understand that AI is designed to support decision-making, not replace professional judgement. Developing these habits early helps employees use AI more effectively while ensuring human oversight remains central to important decisions.
As Carlos Diaz, VP of People and Talent at Jasper, said in our webinar, ‘Workforce planning in 2026: How AI is reshaping talent strategy’: "The opportunity, really, for companies is to invest more in that education, that programming. Teach your most valuable talent how to use these tools, how to look for mistakes, because those are the things that will pop up and bite us if we're not careful."
By building critical thinking skills alongside technical knowledge, organisations can improve the quality of AI-assisted work and build greater trust in the technology.
Build practical AI skills
Using AI effectively is a skill in itself, and one that many new starters may not have developed before joining your organisation.
Effective onboarding should therefore go beyond introducing tools and policies to help employees learn how to get the best results from AI.
This may include learning how to write effective prompts, provide clear instructions, add relevant context, evaluate outputs critically, and refine requests to achieve better results.
The most successful programmes are tailored to employees' day-to-day responsibilities. Marketing professionals may use AI to generate content ideas, summarise research, or support campaign planning, while HR teams might use it to draft communications, create interview questions, or summarise policy documents.
Michele Smith, Managing Director (technology and future skills) at Reed, said: "Unless the training is bespoke, and tailored to the independent companies' workflows, tech stacks, their own language, then it doesn't really resonate, doesn't really land. So, I think we're seeing more and more companies recognise that in order to actually get staff genuinely up to speed, then they need to actually tailor it."
By giving new starters opportunities to practise using AI in realistic scenarios, organisations can help them become productive more quickly and build confidence in using approved tools.
In summary
AI onboarding is no longer a nice-to-have. By setting clear expectations, teaching critical evaluation skills and providing practical, role-specific training, organisations can help employees use AI confidently and responsibly from day one.
As AI technologies continue to evolve, onboarding should act as the foundation for ongoing learning. By supporting employees with regular training, knowledge-sharing and updates on emerging tools and best practice, organisations can build a workforce that is adaptable, confident and ready to realise the full value of AI.
If you’re looking for a talented professional to join your team or a new career to help you develop and grow, contact your nearest Reed office today.
