Ask any business owner what puts them off automation projects and you will hear the same two answers: cost and time. Six-month projects, scope creep, invoices that keep arriving after the deadline has passed. It is why so many businesses stick with spreadsheets long after they have outgrown them.
AI-assisted development is changing both numbers, and not by a small margin.
A real example: forecasting delivered in a third of the time
On a recent client engagement, we delivered a finance forecasting capability on Microsoft Fabric in two weeks. The standard industry estimate for the same piece of work is six weeks with a small team.
The work itself was not simplified or cut down. The full build included data ingestion from the client’s finance systems, transformation into a governed reporting layer, the forecasting model itself and the Power BI reporting on top. What changed was how the work was done: an experienced architect using AI-assisted development tools to write, test and refine the build at a pace no manual team can match.
Where the time actually goes on traditional projects
The dirty secret of business software delivery is that most of the elapsed time is not spent building. It goes on handovers between team members, waiting for the right specialist to become available, meetings to coordinate work across the team, and rework when specifications are misread.
A single senior consultant with AI tooling eliminates almost all of that. There are no handovers, no coordination overhead and no queue. Design decisions are made and implemented in the same session. The feedback loop between the client and the person building the system is direct.
What faster delivery means for cost
Speed and cost are the same conversation. When a six-week project becomes a two-week project, the fee changes accordingly. Work that was previously only viable for large enterprises with substantial budgets is now within reach of SMEs.
This shift is arriving at the right moment. UK SME adoption of AI has more than doubled since 2023, but research consistently shows that only around one in ten SMEs use AI deeply enough to automate actual operations. The rest are using chat assistants and embedded features. The gap between those two groups is where the competitive advantage sits, and delivery cost has been the main thing holding smaller businesses back.
Faster does not mean rushed
A word of caution. AI-assisted development in inexperienced hands produces bad software quickly. The speed gains we describe only hold when the person directing the AI has the architectural experience to make the right calls on data modelling, governance, security and integration. The tooling accelerates good judgement. It does not replace it.
That is why our delivery model pairs AI-assisted development with senior consultants who have spent over a decade and a half building data and AI systems for regulated enterprises.
What could you deliver in two weeks?
Forecasting, automated reporting, a customer data platform, an AI knowledge base: the question is no longer whether your business can afford these systems, but which one would pay back fastest. Book a free AI audit and we will tell you, with honest numbers.