Is Your AI Strategy Making Success Harder Than It Needs to Be?

In Season 4 Episode 7 of our AI for the Average Joe podcast, organisational change specialist and coach Mike Bedford discussed a more human way of thinking about AI, particularly for neurodivergent people. One idea stood out: instead of Artificial Intelligence, Mike described AI as “Accessibility Intelligence”.

Most organisations are still talking about Artificial Intelligence through the lens of productivity: How much time can it save? How many tasks can it automate? How much more can people produce?

Those are valid questions. But they may not be the most important ones.

That distinction matters. Because for many neurodivergent people, AI is not simply helping them work faster. It is removing barriers that have made work unnecessarily difficult for years.

What Is Making Success Harder Than It Needs to Be?

Mike uses this question throughout his work, and it should be pinned to the wall of every HR and L&D team.

Too many organisations expect individuals to adapt to systems that were never designed for them. Meetings move quickly, instructions are implied, feedback is vague and employees are expected to “read between the lines”. When someone struggles, we often frame it as a performance issue.

But what if it is actually a systems issue?

A person who finds it difficult to listen, process, contribute and take notes simultaneously may leave a meeting without a clear record of what was agreed. AI transcription and summarisation can remove that cognitive load, allowing them to be present. That is not AI doing their job. It is enabling them to do the valuable, human part more effectively.

AI Can Act as an Interpreter

For some neurodivergent colleagues, the hidden context in workplace communication can be exhausting. What does this email really mean? Is that feedback about the work or about me? What exactly is being asked of me?

Used well, AI can act as an interpreter: helping someone unpack an ambiguous message, structure a response or translate a stream of ideas into a format other people can understand.

It can also become a private thinking partner: employees can test an idea, ask for an alternative perspective or invite the AI to play devil’s advocate without worrying about being judged for thinking differently.

That psychological safety is important. Particularly for people who have spent years being told they are too much, too direct, too distracted or that they “just don’t get it”.

Inclusion by Design, Not by Exception

The lesson here goes beyond neurodiversity. Changes that support one person often improve work for many others.

Clearer instructions benefit everybody. Meeting transcripts support colleagues working remotely, people returning from absence and those operating in a second language. Tools that help organise complex thinking can support an overwhelmed manager just as much as an employee with ADHD.

This is what genuine inclusion looks like: improving the environment rather than waiting for individuals to struggle and request an adjustment.

For HR, Learning and Development and Organisational Development leaders, that should change the AI conversation. The question is no longer simply, “Which tool should we buy?” It becomes:

Where are people experiencing unnecessary cognitive load?
Which workplace processes rely on unwritten rules or hidden context?
How could AI remove friction without removing human judgement?
Are employees being given the skills and permission to use it safely?

Access Without AI Literacy Is Not Inclusion

Of course, giving people access to a tool is not enough. AI can be biased, confidently wrong and overly agreeable. It should support thinking, not replace it.

Effective AI training must go beyond prompts and productivity hacks. People need to question outputs, protect sensitive information, recognise limitations and remain accountable for their decisions.

Leaders also need to avoid creating a two-tier workplace where confident early adopters gain an advantage while everyone else is left behind. If AI is becoming part of how work gets done, inclusive upskilling is not optional.

Stop Fixing People. Start Fixing Work

AI will not make an organisation neuroinclusive on its own. It cannot compensate for poor leadership, confusing communication or badly designed work.

But it can expose where the friction is — and give us new ways to remove it.

So perhaps the real opportunity is not to use AI to make people produce more. It is to use it to make success less exhausting, less confusing and less dependent on whether somebody’s brain happens to fit the system.

That is a far more valuable AI dividend.

If your organisation is rolling out AI but has not yet considered accessibility, neuroinclusion and the human systems around it, we can help. We offer practical AI training that builds capability, confidence and inclusion, not simply tool usage.