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How ESKOM.AI runs a modernisation project — from business pain to deployment in weeks

Zespół ESKOM.AI 2026-06-26 Reading time: 4 min

The decision to modernise an app rarely falls on a lack of need. It falls on fear — of a project that starts enthusiastically and ends a year later, over budget and with half the promised features. That fear is justified, because that's how most classic IT projects looked. At ESKOM.AI we have built a process that reverses this dynamic: short stages, clear decisions and a result visible in weeks, not quarters.

The pain: the risk is greater than the change itself

For a CEO or Product Owner, the real risk is not that the app is old. The risk is the unpredictability of the repair project — an unclear scope, slipping deadlines, a cost that grows with every meeting. That's why our process is designed so that at every stage you know where we are, what it costs and what you get at the end.

Stage 1: Audit and pain map

We start with a short, concrete diagnosis. We analyse what the app does well, where it generates costs and risk, and which changes will bring the greatest business value. At the end of this stage you receive a map: what we modernise, in what order and why — in business language, not technical. This is the moment when you decide whether and how we proceed.

Stage 2: A plan and a predictable scope

Instead of one big "all or nothing" project, we divide the work into small, independent portions. Each has a defined result, time and cost in a predictable order of magnitude. This way you can start with the most acute problem and see the effect before you decide on the next steps. No months-long leap into the dark.

Stage 3: Development supported by AI agents

This is where the difference happens that shortens weeks to days. Our automated software development process combines experienced specialists with the support of dozens of specialised AI agents. They take over the tedious, repetitive part of the work — and every change passes the full rigour of testing: unit, integration, end-to-end, performance, regression and security. What once depended on the time of expensive programmers now comes together faster and at an affordable price, with no compromise on quality.

Stage 4: Deployment and verification of the result

We deploy each portion safely, with the ability to roll the change back quickly should something go wrong. After deployment we return to the figures from the audit and check whether the promised result has materialised — shorter handling time, lower cost of change, less manual work. A modernisation that can't be measured is, for us, an unfinished modernisation.

What it looks like in practice

A typical path for a company of 10–200 people looks like this:

  • Week one: audit and pain map — you know what we're modernising and why.
  • The following days: the first portion deployed and running in production.
  • The following weeks: the next modules, each with its own measurable effect.
  • Throughout: a predictable cost and full control over when to stop.

Let's start with an audit

You don't have to decide on the whole modernisation at once. Start with an audit that shows where the problem really lies and how much solving it costs in our model. Write to us — within a few days we'll present a pain map and a concrete, measurable plan for the first step.

#modernizacja #proces #AI #wdrożenie

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