Most workplace support for neurodivergent employees is designed to fix problems after they appear.

An employee starts to struggle. Communication breaks down. A manager raises a concern. Then adjustments are introduced, coaching is arranged, and workarounds are put in place. The intention is good. But the timing is too late.

What’s been missing is something that removes barriers before they escalate into performance conversations or formal processes.

That’s what AI is starting to do. Quietly, and largely without any organisational strategy behind it.

Neurodiversity at work is a friction problem, not a capability problem

At least one in five people are neurodivergent. Most workplaces are still designed around a fairly narrow expectation of how people should think, communicate and perform.

That mismatch is where most challenges begin.

It’s not that neurodivergent employees lack capability. It’s that the way work is structured creates unnecessary friction. Instructions are vague. Information is overwhelming. Expectations aren’t always clearly defined. For employees with ADHD, autism or dyslexia, this creates a disproportionate cognitive load that accumulates over time.

What gets labelled as a performance issue is often a design issue.

AI reduces that friction in real time

Tools like ChatGPT and Microsoft Copilot are already being used by employees to reshape work in ways that suit how they think.

Not because these tools were designed for neurodivergent users. But because they give people far more control over how they process information, structure their thinking, and communicate their ideas.

An employee asked to “pull together a proposal” might previously have spent hours overthinking where to start. Now they can prompt:

“I’ve been asked to create a proposal on [topic]. Can you break this down into clear steps and suggest a strong structure?”

What was ambiguous becomes structured almost instantly.

For someone with dyslexia or ADHD who finds written communication a constant source of pressure, AI removes one of the most persistent barriers:

“Can you rewrite this email so it’s clear, professional and friendly, but still sounds like me?”

For employees who struggle with information overload:

“Summarise this document into the key points I need to know and flag any actions.”

These aren’t workarounds. They’re ways of making work more accessible in the moment it’s needed.

The commercial case is already there

Early research from McKinsey suggests generative AI can increase productivity in knowledge-based tasks by up to 40%. But the more significant finding is where that gain is largest.

Studies from Microsoft and others show that employees who initially struggled most with tasks like writing or structuring information often see the greatest improvement when using AI tools. In practical terms, AI has the potential to narrow performance gaps within teams.

For neurodivergent employees, this is particularly relevant. Many have strong analytical, creative or problem-solving abilities but experience friction in areas like communication, organisation or task initiation. When that friction is reduced, performance tends to improve quickly.

This isn’t just an inclusion argument. It’s about unlocking capability that already exists in the workforce.

AI doesn’t require disclosure. That matters more than most organisations realise.

One of the most persistent challenges in neuroinclusion is that many employees never disclose.

Some don’t identify with a disability label. Others worry about stigma or career impact, or simply don’t see a clear benefit to sharing that information at work. Organisations are therefore often making inclusion decisions based on incomplete data.

AI changes this slightly. It allows employees to access support independently, without needing to formally disclose or request adjustments. In effect, it functions as a form of universal support.

But that shouldn’t make organisations passive. If anything, it reinforces the need to understand neurodiversity more fully across the workforce, through equal opportunities monitoring, engagement surveys, or more explicit questions in existing data collection. Employees who would benefit from support won’t always appear in disability data.

What most organisations are currently getting wrong

Despite the clear potential, most organisations are approaching AI in a narrow way.

It’s positioned as a productivity tool. Or managed primarily as a risk. Very few are actively connecting AI to their accessibility or inclusion strategies, and even fewer are equipping managers to understand how it can support neurodivergent employees.

The result is inconsistency. Some employees are already benefiting significantly because they’ve worked out how to use these tools effectively. Others aren’t using them at all, either because they don’t know how, or because they’re not sure they’re allowed to.

That gap is an inclusion issue.

What managers can do now

Managers don’t need to become AI experts. But they do need to be more intentional.

Start by normalising it. If employees feel they need to hide their use of AI, organisations lose the ability to shape how it’s used and ensure it’s supporting both performance and inclusion.

Managers can also use AI to improve their own communication. Before giving instructions:

“Can you turn this into clear, step-by-step actions that are easy to follow?”

Before giving feedback:

“Can you rephrase this so it’s clear, constructive and focused on what the person should do next?”

Small adjustments to how managers communicate can significantly change how accessible work feels for an entire team.

The bigger picture

As AI becomes more embedded in everyday tools and workflows, the line between assistive technology and standard workplace technology will blur. What was once considered additional support will become part of how work is done.

Organisations that connect AI to their neuroinclusion strategy will be better placed to reduce barriers, support a wider range of employees, and improve performance across their teams.

Those that treat it purely as a productivity or risk question will fall behind, not just commercially, but in how inclusive their workplaces actually are.

How Enna can help

AI is powerful, but it isn’t a substitute for good management, inclusive design, or clear strategy.

At Enna, we work with organisations to build the manager capability, structural approaches, and practical frameworks needed to make neuroinclusion work in practice, not just on paper.

If you’re thinking about how AI fits into your inclusion strategy, we can help you approach it with intention.

Get in touch with us to arrange a free, no obligation discovery call.