The cultural foundation of AI readiness

There are so many AI tools, and with the excitement, anticipation, and even hesitation they bring, building a strong culture of learning and a safe environment to experiment is key to successful adoption, writes Kat Judd.

Conversations around AI in the workplace are dominated by a single question: “How do we train our people fast enough?” For HR and people leaders, it’s natural to focus on skills and reskilling. But approaching AI adoption like a traditional technology rollout misses the bigger picture.

Successful AI integration remains a challenge for many businesses. Recent data from Lucid Software’s AI Readiness Report shows that 61 per cent of workers believe their organisation’s AI strategy is only somewhat to not at all well-aligned with operational capabilities.

An AI-ready organisation is built on the environment it creates for its workforce. Before focusing on tools, evaluate whether the structures and support systems are in place to help people succeed with AI.

The power of a ‘safe-to-experiment’ environment

Building momentum requires intentional guardrails. AI adoption slows when employees don’t feel safe experimenting or aren’t sure how it might affect their roles. More than a quarter (27 per cent) of respondents point to cultural resistance as the primary barrier to AI success.

Transparency was central as we rolled out tools like Gemini and invested in AI pilots. From the beginning, we were upfront about how the technology would and would not be used within our organisation. We recognised that teams leverage AI in different ways, so we created dedicated internal channels where employees could share wins, surface challenges, and learn from one another. Leaders contributed by sharing their thought processes and prompt adjustments, showing that experimentation and reflection are part of how everyone learns.

Creating an environment that’s safe to experiment – and even fail – gives employees the confidence to explore approved tools and share what they learn. That confidence is reinforced when employees have access to AI tools that have already been vetted by IT and security, reducing the need to look for workarounds.

Experimentation in action

Staying current with AI means more than following trends and requires actively learning by doing. Encouraging questions and open discussion sparks curiosity, while giving teams opportunities to explore and test ideas turns that curiosity into actionable insights.

For example, our engineering teams piloted multiple AI tools before selecting one for wider adoption. By involving employees directly in the process, adoption felt collaborative rather than imposed. When employees are trusted to explore AI responsibly and are supported by leadership, AI becomes a tool that accelerates outcomes.

Employee-led development accelerates AI adoption

AI adoption thrives when upskilling is manager-supported but fundamentally employee-led. We’ve shifted from top-down training towards a model where individuals focus on the skills they want to learn. Employees can identify their own gaps, with managers guiding them through their professional development.

This is a way for employees to grow and experiment on their own terms. Whether testing ideas in their daily work or in structured workshops, employees have the freedom to explore and learn safely. Personalised AI-guided pathways help employees find the resources that matter most to them and track their progress.

When employees see their skills improve and share what they discover, they take ownership of their growth. That confidence helps employees succeed with AI today and lays the groundwork for continuous learning across the organisation.

Humans remain the differentiator in AI success

There are so many AI tools, and with the excitement, anticipation, and even hesitation they bring, building a strong culture of learning and a safe environment to experiment is key to successful adoption.

AI can take on repetitive work, giving employees more time to focus on creative, strategic, and collaborative contributions that really drive culture and engagement. It frees people to solve problems, innovate across teams, and connect with customers in ways only humans can.

Kat Judd is the chief people officer at Lucid Software.