The question we hear most often from decision-makers is simple: "How much will it cost and when will it be ready?" For the past decade the answer was predictably discouraging — so many man-hours, times the hourly rate, plus a buffer for the unforeseen. In 2026 this arithmetic is no longer the only one available. It's worth understanding why.
The pain: every change is a budget negotiation
For a CFO and Head of Operations, the worst thing about software development isn't even that it costs money. The worst thing is the unpredictability. A minor form change, a new integration, an extra report — each of these requires a separate estimate, a place in the IT queue and a deadline that usually slips. The business waits, customers wait, and the cost grows with every week of delay.
The classic model: man-hours and a queue
In the traditional approach the logic is linear: more features mean more hours of expensive programmers, and more hours mean a higher bill and a longer timeline. A mid-sized change to a company app in this model usually means a budget counted in tens of thousands of zlotys and a timeline counted in weeks or months. Worse still, a substantial part of that time is consumed by repetitive tasks — writing tests, documentation, re-wiring integrations — which create no direct value and merely push up the invoice.
The new model: support from AI agents
At ESKOM.AI we develop software in an automated process in which experienced specialists are supported by dozens of specialised AI agents. These agents take over precisely the tedious, repetitive part of the work that consumed the most hours in the classic model: analysis, code generation and, above all, the full set of tests — unit, integration, end-to-end, performance, regression and security.
The effect is measurable in orders of magnitude. A change that took weeks in the man-hour model is, in the AI-supported model, sometimes ready in days, and its cost is often a fraction of the old estimate. Not because we have lowered quality — on the contrary, every change passes the full rigour of testing. But because the machine does what a machine should do, and people attend to decisions and quality.
A comparison worth showing the board
- Estimate: classically — the sum of man-hours; with us — a predictable range based on the result, not on the clock.
- Timeline: classically — weeks or months in the queue; with us — usually days for a typical change.
- Total cost: classically — the full rate for every hour; with us — often a fraction of that amount.
- Quality: classically — tests are often the first casualty of budget cuts; with us — a full set of tests is the standard, not an option.
What this change does not change
Honestly: AI is not magic, and not every project wraps up in a few days. Complex integrations, sensitive data or unusual requirements still require the prudence and experience of people. What has changed, however, is the cost and time base — what was once available only to companies with a large IT budget is today within reach of organisations of 10–200 people.
Check the new price of your change
If you have a change on the list that's "waiting for a better budget", it's worth checking how much it costs today — in the new model. Send us a short description of what you'd like to change in your app, and we'll reply with a realistic order of magnitude for cost and timeline. With no obligation — so that you can compare and make an informed decision.