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Stop Renting AI.
Start Owning It.

Why Using AI Is Not the Same as Building With It

Stefan Erschwendner7 min read

Every organisation is using AI. ChatGPT has a seat at most desks. Copilots are embedded in the tools people already use. Prompting has become a verb.

None of that is the capability.

Chatting. Prompting. Co-piloting. That is consumption. You are renting someone else's interpretation of what AI should do for you, packaged into a generic interface, built for the average user.

The actual capability is something else entirely: using agentic tools to build the business software you need, designed around your business, your people, how they work. Not renting the tools that you need to adjust to.

Three Modes of AI Adoption

Most organisations sit somewhere on a spectrum. The question is where - and whether they realise they have a choice.

1

Renting

Generic tools built for the average user. Good for everyone, perfect for no one. You subscribe, you configure within the boundaries someone else set, and you accept the compromises that come with scale.

2

Adjusting

Your team adapts to the software. Workflows bend to fit the tool's logic. You hire consultants to customise what was supposed to be ready out of the box. The tool shapes the process instead of the other way around.

3

Owning

Software designed around your business, your people, how they work. Built in days, not months. You own the logic, the data model, the roadmap. No vendor cycles. No compromise.

Agents are software. Agentic engineering is making the best use of AI - using AI to write software that is customised to your needs.

Agents Are the Automations Within the Software That AI Develops for You

Salesforce is software developed for the average user. That means it's good for everyone but perfect for no one.

With agentic engineering, you create software and deploy agentic automations that work on their own - designed around your business, your people and how they work.

Generic Software

Built for everyone

One-size-fits-all features. You adjust your processes to match the tool. Configuration replaces customisation.

Agentic Engineering

Built for you

Software and automations designed around your specific workflows, data, and people. Agents that run on their own.

The Real Unlock Isn't a Single Agent. It's Compounding Creation.

Someone builds a specialised tool for their team. That tool gets an API. Someone else's agent builds on top of it. The organisation starts producing its own software stack at a speed that breaks traditional timelines and budget cycles.

1

Someone builds a tool

2

That tool gets an API

3

Another agent builds on it

4

It becomes a building block

The stack compounds

Most people talking about agentic AI focus on “agents do tasks for you.” The real moat is agents producing software, that software exposing APIs, other agents building on those APIs.

This is where the compounding advantage becomes nearly impossible to catch. Every tool your organisation builds makes the next one faster, cheaper, and more connected. It is not linear. It is exponential.

What the Transformation Delivers

To take advantage of agentic capabilities, three things are required.

Mindset

Realise that everything is software. You can now build your own in days and weeks. You can customise it, scale it, and stop being a renter of tools meant for the average user.

Skillset

The ability to scope, engineer, test and iterate agentic systems. From identifying a business problem to deploying a working agent to planning how it scales.

Toolset

The infrastructure used confidently and independently: GitHub, Claude Code, Anthropic APIs, automation platforms, databases, and the integrations that connect agents to real business data.

There's a difference between using AI and knowing how to think and work in the age of AI and its vast capabilities.

“The cost of producing software collapses to the cost of describing your problem well and the ideal solution.”

Joanna Bakas

Joanna Bakas

Managing Partner, Frontira

The companies that build this capability now will have a compounding advantage that is nearly impossible to catch.

The ones that start in 18 months will be buying what others already built.

Stefan Erschwendner

Stefan Erschwendner

Managing Partner and Chief System Architect at Frontira International, building agentic systems that turn AI capability into operational leverage for businesses across Europe.