How to introduce AI in the workplace successfully

Defining how AI will be used across roles and workflows
Providing structured AI training and capability development
Establishing governance, privacy and quality controls

AI is rapidly reshaping workplaces across New Zealand, with 60% of employees already using AI tools in their day-to-day work. However, adoption is outpacing enablement. Just 22% of employees report receiving employer-provided AI training, leaving many to navigate new technologies without guidance.

This growing disconnect highlights a critical insight from the Hays Salary Guide FY26/27. The organisations seeing the greatest value from AI aren't necessarily adopting it first. They're giving employees the skills, governance and confidence to use it effectively

While many organisations are accelerating implementation, the real competitive advantage lies in ensuring employees are equipped to use AI effectively and responsibly. For New Zealand businesses facing ongoing skills shortages and productivity pressures, closing this gap is essential.

Key AI adoption insights (Hays Salary Guide FY26/27)

60% of employees already use AI at work
Only 22% receive formal AI training from their employer
69% of hiring managers assess AI capability through practical examples
52% use internal assessments
49% rely on references

What are the 3 key steps to successful AI adoption in the workforce?

1. How can businesses integrate AI into existing roles and workflows?

A common concern among employees is that AI will replace or reduce their roles. To address this, leaders need to clearly communicate how AI will support existing work, not replace it entirely.

A practical starting point is to identify one or two processes where AI can reduce administrative burden, then pilot the technology with a small group before expanding more broadly. This could include data processing, reporting, or administrative work. The goal is to improve productivity while enabling employees to spend more time on strategic, customer-facing, and problem-solving work.

There is no one-size-fits-all approach. Piloting AI tools across different teams and refining based on feedback is often the most effective way to embed sustainable workflows. Clear communication, both internally and with clients, is critical to building trust and ensuring responsible use.

2. How do businesses train employees to use AI?

The teams who are succeeding are those with the support and knowledge to apply AI tools strategically, so training is the first step. This upskilling needs to be enacted holistically and with clear structure, but when starting from scratch it’s fair to say that this comes with its own share of hurdles to overcome.

It’s crucial that businesses establish an understanding of their teams’ base level competencies so they can scale and train effectively across the board, but without an accepted professional standard for demonstrating AI competency in the job market, many employers are struggling to accurately gauge where their employees sit on the capability scale.

It’s also important to recognise that support and development need to be ongoing, with regular check-ins to ensure that all team members are across any new updates. Adaptability, critical thinking and digital confidence are equally important, helping employees respond to new tools and technologies as they emerge.

The most successful organisations are those investing in ongoing capability development, not just tools. In New Zealand, many employers face challenges in assessing AI skills due to the lack of standardised benchmarks. As a result, hiring managers are relying on:

Practical examples of AI use (69%)
Internal assessments or testing (52%)
References and experience (49%)

This signals an opportunity for employers to take the lead by developing their own frameworks for AI capability.

Training should be structured and scalable across teams, starting with baseline capability assessments and focusing on practical, role-specific applications. Beyond technical skills, fostering adaptability, critical thinking, and digital confidence are essential. These soft skills enable employees to evolve alongside rapidly changing technology.

3. What are the risks of AI adoption in the workplace?

The integration of AI holds a lot of promises – productivity gains, streamlined workflows and rapid development, to name a few – but before it can deliver, organisations need to do due diligence and build some basic structure into how it’s used. New Zealand organisations must implement clear guardrails early, including:

Approved tools and platforms
Data privacy and confidentiality standards
Quality assurance processes for AI-generated content

These controls don't need to be complex, but they do need to be clearly documented, consistently applied and well communicated. Without that structure, businesses could expose themselves to data errors and inefficiencies at best, and public-facing reputational risk at worst – so it’s vital that these considerations are made at the onset of your AI adoption, not as an afterthought. Building a strong foundation ensures AI is used responsibly and delivers long-term value.

AI adoption is accelerating across New Zealand workplaces, but introducing new tools is only the beginning. The organisations that stand to gain the most from AI are those that invest in capability development, integrate AI into everyday workflows, and establish clear governance from the outset.

For more insight into how AI adoption is affecting workplaces in Australia and New Zealand, download the Hays Salary Guide FY26/27.