Automate repetitive tasks with AI: my clear role made it easy

The AI gap no one is filling

The past few weeks I've interviewed organizations that give me hope.

IKEA prevented AI layoffs and doubled down on their belief in people. It helped free them of routine tasks and allowed them to use their creativity, judgment, and communication skills to be closer to customers.

• A pioneering tech company is using AI to map skills and match people to projects they love. 
• A US manufacturing company connected all internal company data (meeting outcomes, decisions, financials, CRM data) and made it searchable so all employees have the information they need to make good decisions. 
• An accounting firm uses AI to handle the repetitive parts of audits, freeing junior staff to learn the judgment-heavy work much earlier in their careers.

Different sectors. Different stages. Same direction.

Use the tech to give people more room to do meaningful work.

This is what's missing from the AI conversation. Everyone obsesses over what tasks AI can do. Nobody asks what humans get freed up to do instead.

How I automated my most dreaded task

Today I want to focus on a recent personal experience here at Corporate Rebels.

I'm not an AI expert. But I do use it a lot and experiment with several tools.

A few weeks ago, I experimented with a tool that blew my mind. The tool is called Nestr. Some of you might already use it to visualize, track, and organize roles.

Here's what I did.

Step 1: All roles in the tool

This step was already done. It's why we use Nestr. Every role in our company is mapped out, with its purpose, responsibilities, and the person who owns it.

At Corporate Rebels, like many self-managing organizations, we work role-based. People hold multiple roles instead of being stuck in one fixed job description. I have several roles: researcher, writer, workshop facilitator. And finance reporter.

That last one? I'm not good at it. And I don't enjoy doing it.

Every month I had to gather the numbers, structure them, and share them with the team. Every month it felt like a chore. Perfect candidate for an experiment.

Step 2: Pick a role to hand over

Finance reporter became my guinea pig. Why waste time on something I'm bad at when I could focus on what I do well?

This is key. I didn't try to automate "Pim." I picked one specific role that needed doing but didn't need human judgment, creativity, or relationship skills.

Step 3: Connect Claude to Nestr

This sounds technical. It isn't.

Connecting Claude to Nestr took a few clicks. From there, the instructions walked me through the entire setup. What does this role do? What inputs does it need? What's the output? Where should it go?

I answered the questions. Claude and Nestr did the rest.

I'm not technical at all, and I set this up within an hour.

Now, instead of me dreading the finance report every month, the AI agent picks it up, drafts it, asks me to check it, and posts it in Basecamp, our internal communication tool.

The whole thing runs on autopilot. I review it (takes five minutes instead of two hours). Done.

Why self-managing organizations have a hidden advantage

Here's what struck me most about this experiment.

Self-managing organizations have spent years describing their roles in detail. Purpose, accountabilities, deliverables, the whole thing. We did this work for clarity and ownership, to help people understand exactly what they're responsible for without without a boss telling them what to do.

That work now becomes the foundation for handing repetitive tasks to AI agents.

Think about it. Traditional organizations still organize around job titles and departments. "Marketing Manager" could mean a hundred different things at a hundred different companies. But a role like "Finance Reporter" with clear purpose, specific accountabilities, and defined deliverables? That's ready-made for automation.

The clearer your roles, the easier to identify which parts need a human and which parts don't.

This is the hidden advantage. Years of work making roles explicit (originally for human coordination) now unlocks a completely different possibility. You can automate repetitive tasks with AI at the role level, not the person level.

People keep the roles that need human judgment. The roles that need creativity. The roles that need relationship building. The repetitive stuff? Hand it to Claude or ChatGPT or whatever tool works for your organization.

The path forward: people first, AI second

What excites me most isn't the technology. It's what this means for the future of work.

Traditional organizations use AI to replace people. Cut costs. Increase control. The same broken system, now with algorithms.

People-first organizations can use AI differently. Not to replace humans but to replace the parts of work nobody wants to do. Not to control but to liberate. Not to centralize but to give everyone access to the information they need.

Imagine all the roles in your organization that could be partly automated. The weekly status reports nobody reads. The data entry that numbs your brain. The scheduling that eats up hours.

Now imagine that time freed up for work that matters. For solving customer problems. For creative breakthroughs. For building relationships.

This is the human path I mentioned earlier.

The question isn't which tasks AI can do. The question is what humans get freed up to do instead.

At Corporate Rebels, automating my finance reporter role means I spend more time researching organizations, writing about what we learn, and helping others transform their workplaces. Work that energizes me instead of draining me.

Multiply that across an entire organization. Across an entire economy.

That's the opportunity sitting right in front of us. People-first organizations combined with AI is one of the most exciting frontiers in the future of work.

We just have to choose the human path.

Stop reinventing the wheel on your own

Pim's finance-reporter experiment took an hour because the roles were already mapped. But getting to that point (clear roles, real autonomy, decisions distributed across teams) is the part most organizations are still figuring out, often in isolation.

Rebel Cells are designed to solve this. Quarterly meetups with 8-12 pioneering organizations near you. Global peer groups matched by industry and self-management maturity. An annual summit. 100+ recorded sessions, case studies, and templates. All to accelerate your transformation with people actually doing the work.

Join the 70+ organizations across 25+ countries already inside.