For years, building an enterprise data platform meant one thing: a big team and a bigger budget. A typical build would involve a data architect, two or three data engineers, a DevOps specialist and months of delivery time. For most SMEs, that put a proper data platform out of reach.
That has changed. AI-assisted development has fundamentally altered the economics of data platform delivery, and we have proven it on a live enterprise project.
The traditional model is broken
On a conventional project, the architect designs the platform and hands specifications to a team of engineers who build it. Every handover introduces delay, misinterpretation and cost. A finance forecasting capability that should take weeks stretches into months. By the time the platform goes live, the business requirements have often moved on.
The result is familiar to anyone who has commissioned data work: budgets in the hundreds of thousands, timelines measured in quarters, and a platform that needs another round of consultancy before anyone can use it.
What AI-assisted delivery looks like
On a recent engagement with a UK pharmaceutical manufacturer, our consultant designed and built a complete modern data platform on Microsoft Fabric single-handedly. That covered the architecture, the full data engineering build and the DevOps pipeline. Work that would normally require a team of two to three engineers was delivered by one person using AI-assisted development tooling.
The numbers tell the story. A finance forecasting use case that would typically take six weeks was delivered in two. Multiple use cases were built in parallel rather than queued behind each other. And because the platform was built on a reuse-first architecture, each new use case became faster and cheaper than the last.
Why this matters for your business
UK businesses are adopting AI at pace. The British Chambers of Commerce reports that 54% of SMEs now use AI in some form, up from 23% in 2023. But most of that adoption is surface level: chat assistants and embedded features. The businesses seeing real returns are the ones putting AI to work on their data and operations.
A governed data platform is the foundation for all of it. Reliable reporting, AI agents that answer questions accurately, forecasting you can trust: none of it works on top of spreadsheets and disconnected systems.
The barrier was never the technology. It was the cost of building it. AI-assisted delivery removes that barrier. What used to need a six-figure engagement and a full team can now be delivered by a single experienced architect at a fraction of the cost, without compromising on governance, security or quality.
The catch: experience still matters
AI tools do not replace expertise. They multiply it. An inexperienced developer with AI assistance will build the wrong thing faster. The productivity gains only materialise when someone with deep architectural experience directs the work, makes the design decisions and knows what good looks like.
That is the model we operate at Availit: senior consultants with enterprise backgrounds in pharma, energy, telecoms and financial services, using AI-assisted delivery to bring enterprise-grade platforms within reach of growing businesses.
Find out what this would look like for you
If your business runs on disconnected spreadsheets, legacy databases or reporting nobody trusts, a modern data platform is closer and cheaper than you think. Book a free AI audit, and we will map what a build would involve for your operation, with realistic costs and timescales.