The pace of workplace technology evolution has never been faster. AI has moved from experimentation to everyday use seemingly almost overnight, promising productivity gains, efficiency, and scale. But as these tools become more powerful, a crucial question sits at the heart of the future of work: how do we ensure technology strengthens rather than replaces the human experience at work?
This question was at the centre of a recent conversation I had with Martin Jackson from Insights, a company long recognised for its work in behavioural science and personality preferences. What emerged was a compelling reframing of what HR and workplace technology should be optimising for.
From efficiency to human effectiveness
For decades, workplace technology has been designed primarily to make things faster – automating tasks and streamlining processes – delivering quicker solutions. But that efficiency-first mindset is increasingly at odds with how people experience work today.
Satisfaction with technology – particularly satisfaction with HR technology – seems to be falling with teams not feeling they are getting the value they were promised. Tools often fail not because they lack features, but because they don’t align with how people think, communicate, or make decisions. When that happens, technology can stop feeling supportive and start feeling intrusive. The opportunity now is to pivot away from pure efficiency and towards human effectiveness – helping people explore problems, communicate with clarity, and exercise better judgment.
Technology should sharpen judgment, not remove it
One of the most important distinctions Martin made was this: organisations shouldn’t try to automate human judgment away. Instead they should be trying to sharpen it.
The most valuable technologies are not those that replace interaction, but those that enhance it – helping people prepare for conversations, understand others’ perspectives, and adapt how they show up at work. This is where personalisation becomes critical.
We’re already seeing this shift amongst major technology players. Personalised assistants, adaptive AI responses, and context-aware tools are becoming priorities. The goal is no longer “more productive humans”, but better humans at work – more aware, more connected, and more effective in the moments that matter.
Behavioural intelligence as the missing layer
Insights’ long-standing personality model is built on a simple but powerful idea: giving people a shared language to understand how they prefer to think, communicate, and decide. That shared understanding can help reduce friction and build patience – especially when the work gets complex or pressured.
What’s changing is how this intelligence can now be used. By digitising the model through the Insights Discovery API, behavioural preferences can be embedded directly into the tools people already use every day.
This unlocks practical, human-centred applications:
- Coaching nudges that adapt to how someone best receives feedback
- Onboarding experiences that help new hires communicate more effectively from day one
- AI-assisted communication that reframes messages so they land better with the recipient
- Mentor and coach matching based on behavioural compatibility, not guesswork
Rather than generic experiences, work becomes contextual, personalised, and relevant.
Engagement, trust, and change fatigue
Much of what we see as ‘engagement’ really comes down to whether people feel seen and understood. Change fatigue, miscommunication, and disengagement often stem from messages that don’t resonate – not because they’re wrong, but because they’re delivered in the wrong way.
Behavioural intelligence embedded into workflows allows for just-in-time support: prompts before a difficult conversation, guidance before a feedback session, or subtle nudges that help encourage reflection or action depending on the individual.
The result? Fewer misunderstandings, higher relevance, better uptake – and a compounding effect on trust and engagement over time.
Human-centred AI is the real differentiator
AI today can be extraordinarily powerful – but also emotionally clumsy. Large language models can boost productivity, but without behavioural context they often lack empathy, nuance, and emotional intelligence.
Injecting behavioural insight into AI helps to change that dynamic. AI becomes less of a black box and more of a thought partner – something that challenges thinking, improves framing, and supports better decisions without eroding autonomy.
Looking ahead, the most successful workplace technologies won’t win because they’re the fastest or cheapest. They’ll win because they’re the most engaging – the ones that understand users best and adapt accordingly.
Designing technology that earns trust
For HR leaders who worry that new technologies might dilute culture, the answer isn’t to slow down innovation – but to design more deliberately. Test tools in small pilots. Be transparent about what you’re trying, why you’re trying it, and what success looks like. Share what works – and what doesn’t.
Culture only survives if it’s practised. Technology should reinforce that practice, not distract from it.
Enhancing the human experience at work isn’t about resisting AI. It’s about embedding humanity into it – intentionally, ethically, and visibly. When technology supports how people think, communicate, and connect, it doesn’t replace the human experience at work. It elevates it.
You can check out my full conversation with Martin Jackson here https://www.hrhappyhour.net/episodes/enhancing-human-experience-in-the-digital-workplace/



