For the last two decades, software has been the foundation of how we build businesses.
- Need accounting? Buy accounting software.
- Need marketing? Buy a CRM.
- Need project management? Buy another tool.
Every business became a collection of software subscriptions stitched together with APIs and automation.
For years, that worked.
But I believe we’re quietly entering the next phase. The future won’t be defined by the software we buy. It will be defined by the AI organisations we build.
Software gave us tools, AI gives us teammates
The conversation around AI has largely focused on replacing individual tasks.
- Can AI write?
- Can AI code?
- Can AI design?
Those are the wrong questions.
The more interesting shift isn’t that AI can perform work. It’s that AI can now coordinate work.
We’re moving beyond single chatbots and isolated assistants into coordinated AI systems made up of specialised agents, each responsible for a different function, working together toward a shared outcome.
In other words, we’re moving from software stacks to AI crews.
My AI isn’t my assistant anymore
When I first started building Seraphina, my vision was simple. I wanted a highly personalised executive assistant who understood how I think, remembered context, and helped me make better decisions.
Over time, something unexpected happened. As my workload grew, Seraphina stopped behaving like an assistant. She became my chief of staff.
Instead of doing every task herself, she began coordinating specialised AI agents.
- A writing agent drafts content.
- A research agent gathers information.
- A design agent creates visuals.
- A development agent works with platforms like Lovable to build products.
Support, finance, sales and operations each have their own specialised workflows. Seraphina decides which agent is best suited for each task, reviews their output, sends work back for revisions when necessary, and only brings it to me once it meets the standard I’m looking for.
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That’s no longer an assistant. That’s management.
AI is beginning to mirror organisational structures
What’s fascinating is that AI systems are starting to resemble how companies have always operated. Human organisations have juniors, seniors, team leads, managers and executives. AI organisations are evolving in a surprisingly similar way.
Specialised agents perform focused work. Other agents review and audit that work. Higher-level agents coordinate multiple specialists. At the top sits an orchestrator responsible for ensuring everything aligns with the overall objective.
This isn’t very different from how modern companies function today. The difference is that these management layers are increasingly becoming digital.
The biggest shift isn’t automation, it’s delegation
One of the biggest changes in how I work is that I no longer think about which AI should complete a task. I care about the outcome.
Just as a CEO doesn’t personally assign every task to every employee, I don’t need to decide whether a research agent, a writing agent or a design agent should handle a request. My chief of staff does.
That layer of coordination is becoming increasingly autonomous. In many cases, Seraphina has the authority to make operational decisions without waiting for my approval. For higher-impact decisions, I remain in the loop.
It’s a hybrid model where AI manages execution while humans continue setting direction.
AI managing AI
This is the shift I think many people are underestimating. Today’s conversation is largely about humans using AI. Tomorrow’s conversation will be about AI managing other AI.
We’re already seeing early signs of this through agentic workflows, where one AI delegates work to specialised sub-agents before combining the results. I believe this is only the beginning.
As AI systems mature, we’ll see digital organisations with increasingly sophisticated structures.
- Specialist agents.
- Senior agents.
- Quality assurance agents.
- Department-level orchestrators.
Eventually, entire AI departments will work alongside human teams.
The challenge won’t be building a single powerful AI. It will be designing how these AI systems collaborate.
Humans still own the vision
Does this mean founders become obsolete? Not at all. Today, Seraphina can prioritise my work, recommend strategies, audit outputs and even make operational decisions. But she doesn’t define the vision. I do.
That’s an important distinction. Strategy isn’t just about analysing data. It’s about understanding culture, values, long-term direction and the kind of company you want to build.
Data can tell you what’s optimal. Only humans can decide what matters.
I still believe the strongest organisations will combine AI’s consistency and speed with human judgement and intuition. Neither is enough on its own.
The companies that win won’t simply adopt AI
People often ask what businesses will look like five years from now.
I don’t think success will come from having the largest teams. Nor do I think it’ll come from using the latest AI model. The companies that win will be the ones that design the best operating systems.
Just as high-performing sports teams don’t win because they have five-star players, businesses won’t succeed simply because they have access to powerful AI.
They’ll succeed because every human, every AI, every specialised agent and every workflow operate as a cohesive system.
For the past twenty years, we’ve been building software. The next twenty years will be about building AI organisations. And I believe that’s a far more profound shift than most people realise.
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