Managing people across multiple regions used to mean one thing: compromise.

Someone was always starting their day while someone else was finishing it. Meetings became awkward. Decisions waited overnight. Questions sat unanswered for hours.

The obvious solution was to ask people to work outside their normal hours.

The better solution turned out to be AI.

Over the past few months I’ve been experimenting with using ChatGPT as more than just an assistant for writing or coding. It’s become the coordinator that keeps work moving while people quite rightly aren’t working.

The result hasn’t been people working longer.

It’s been the team working smarter.

Time Zones Aren’t the Problem

Most organisations see geography as the challenge.

I don’t.

The real problem is context.

When someone in the UK hands work to someone in Australia, or vice versa, valuable time is often lost explaining where things are, what has changed, what’s already been tried and what the expected outcome looks like.

By the time everyone has caught up, another half day has disappeared.

AI removes much of that friction.

Instead of writing lengthy handover emails, I can ask ChatGPT to produce concise, structured updates tailored to the recipient.

It captures decisions, identifies blockers, highlights risks and creates clear next actions.

The receiving engineer starts with understanding instead of detective work.

The AI Project Coordinator

One of the biggest mindset shifts I’ve made is treating ChatGPT as another member of the team.

Not because it replaces anyone.

Because it remembers everything better than I do.

Throughout the day I ask it to:

  • summarise meetings
  • capture decisions
  • identify outstanding actions
  • produce status updates
  • draft communications
  • highlight dependencies

By the time another region starts work, I already have a polished handover that would previously have taken twenty minutes to write.

Multiply that across an entire week and the time savings become significant.

Scheduling the Right Work at the Right Time

One feature that has quietly become invaluable is ChatGPT’s scheduling capability.

Rather than trying to remember to prepare updates, review priorities or check progress, I simply schedule those activities.

Every morning I receive a concise briefing.

Before key meetings I receive preparation notes.

At the end of the day I receive prompts to capture outstanding decisions while they’re still fresh.

These aren’t reminders in the traditional sense.

They’re intelligent checkpoints that keep work flowing.

The important distinction is that AI isn’t telling me what to do.

It’s reducing the effort required to stay organised.

Creating a Longer Working Day

The interesting outcome isn’t that anyone works more hours.

They don’t.

Instead, the effective working day becomes much longer.

When my day finishes, someone else’s begins.

Instead of leaving them with incomplete notes, AI helps package everything they need to continue immediately.

While they’re making progress, scheduled summaries and updates keep me informed without interrupting their work.

By the time I log back on the following morning, decisions have been made, issues have moved forward and priorities are already clear.

The clock never stopped.

The people simply maintained healthy working hours.

Less Administration, More Leadership

One unexpected benefit has been the amount of management overhead that’s disappeared.

Instead of spending time preparing updates, consolidating notes and chasing status reports, I spend more time solving problems and supporting the team.

That’s where leaders create value.

AI is quietly taking care of much of the administrative glue that traditionally filled the gaps between conversations.

AI Isn’t Replacing Teamwork

There’s a lot of discussion about AI replacing people.

That’s not what I’m seeing.

What I’m seeing is AI removing the delays that prevent talented people from collaborating effectively.

It doesn’t make better decisions than my engineers.

It simply ensures they have the right information at the right time.

The human expertise is exactly where it has always been.

AI just keeps it moving.

Final Thoughts

The biggest productivity gain I’ve seen from AI hasn’t come from writing faster or creating documents more quickly.

It’s come from improving the flow of work.

When information moves seamlessly between people, across time zones and throughout the working day, the entire team becomes more effective.

Nobody works longer.

Nobody attends more meetings.

Nobody needs another collaboration tool.

Instead, AI quietly fills the gaps between conversations, keeping momentum alive long after the office lights have been switched off.

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