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June 23, 2026

Is bespoke software back on the table?

Is bespoke software back on the table?
For most of the last decade, the answer was obvious. Off-the-shelf. And as much as possible. SaaS tools existed for almost everything, they worked well enough, and getting someone to build you something custom came with a list of problems as long as your arm: expensive, slow to build, expensive to support, and a nightmare when the developer who wrote it moves on and nobody else understands it. That calculus made sense. For most businesses, it still largely did right up until very recently.

The big change – the time to market has collapsed

Here's what we think.

A skilled developer with the right AI tools can now build a full web application in days. Something that would have taken a team weeks or months. A genuinely functional, modern-looking piece of software that does something quite specific and complex is now within reach of a very small team. In some cases a single person.

The time-to-market has collapsed, and with it, many of the economic reasons to avoid bespoke software.

But there is an important distinction here.

Bespoke does not have to mean starting from a blank sheet of paper every time.

At Instro, the model is not “build everything from scratch”. We already have a portfolio of proven modular AI components that can be configured and combined around the priority use cases a business actually wants to address.

Those components have been shaped through live manufacturing and engineering trials, including independently validated work with AMRC. So when we talk about bespoke AI, we are really talking about tailored solutions built around existing scalable components.

That is a very different proposition from traditional custom software.

The old arguments are being systematically dismantled

Takes too long to build? Much less true than it was.

Too expensive? Costs are falling because the time cost is falling.

Hard to support because only one person understands the codebase? Also becoming less of a problem, because AI tools mean a developer doesn't need to have memorised your specific codebase to work effectively with it.

I manage a development team now. It just happens to live inside my computer.

And in Instro’s case, that development process is supported by pre-existing product components. Content ingestion. Knowledge search. ERP and data integration. Reporting insight. Compliance support. Email handling. Workflow-specific AI interfaces.

The point is not to sell every component to every customer.

The point is to use only the components required to deliver against the priority use cases defined by the business.

That is what makes the time to value much faster. The solution is still bespoke to the business, but it is not an open-ended bespoke build.

Was off the shelf ever the optimal solution?

None of this means off-the-shelf software is going anywhere.

For most tasks, a well-established product with years of refinement and a proper support infrastructure behind it is still the right call.

But there's a growing middle ground: tasks and workflows that are specific to your organisation, your team, your way of working.

Those tasks where no off-the-shelf product does it quite right, and where you've probably been adapting your processes around the software rather than the other way around.

That middle ground is where AI starts to change the conversation.

Because if you can build around existing systems, consume existing knowledge, connect to operational data, and configure proven AI components around a specific business problem, then the economics of bespoke start to look very different.

Here’s where things get interesting

If the barriers to building something bespoke are genuinely coming down, and your competitors are starting to figure that out, the question shifts.

It's no longer:

“Can we afford to build something?”

It's:

“Can we afford not to?”

We're still early in this shift. But the direction of travel is pretty clear.

At Instro, this is exactly the kind of thinking that sits behind what we build. We deliver bespoke AI solutions, but we do that around an existing portfolio of scalable components that have already been tested in real operational environments.

That means businesses do not need to commission a large, speculative software project to get started. They can identify the use cases that matter most, implement the components needed to address them, and get to value quickly.

If you're a manufacturer or engineering business wondering whether AI could give you a specific operational advantage, not just a general productivity tool, then it's worth a conversation.

Get in touch to discuss how bespoke AI software could be applied to support your business.

About us

Instro is a UK-based software company developing tailored generative AI solutions that help businesses make faster and smarter decisions without the need for a data or systems overhaul.

We combine proven modular AI components with business-specific configuration, transforming disparate content and operational data into trusted, decision-ready insight embedded directly into your existing core platforms.