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When does a business need custom software development?

Custom development makes sense where there is unique logic, specific integrations, or requirements that no off-the-shelf product can cover without significant compromises.

If the task can be solved with an existing tool that covers 80% of the needs — we will say so right at the start. But if the business has already outgrown template solutions or is building something non-standard, custom development gives full control: logic, roles, integrations, reports — everything tailored to your specific requirements.

What is the practical difference between custom development and a ready-made platform?

A ready-made platform is a quick start within the limits of what it was designed for. As long as the business fits within those limits, everything works. But when non-standard processes, specific logic, or the need for deep integrations appear, you end up with workarounds, plugins, and constant limitations.

A custom solution is built around you: it scales together with the business, integrates with any services, and does not depend on a third-party platform's decisions about API or policy changes.

What kinds of systems do you develop?

Mostly these are either tools for a company's internal operations or products used by clients and partners. The first group includes management systems, accounting platforms, and integration solutions connecting existing services. The second — web and mobile applications, partner portals, and e-commerce. Often one is intertwined with the other: for example, a distributor platform connected internally to ERP and analytics. The specific set always depends on which process needs to be solved.

How long does development take and what determines the timeline?

It depends on complexity and scope. Sometimes an MVP can be assembled in a month, while a full system takes several months. If deep integration or complex analytics built from scratch is required, the timeline is longer. Development is always broken into phases, and the first results appear before the project is fully completed.

What does the project workflow look like from the inside?

We start with the Discovery phase. Here we work together to clarify the real task, the constraints, and the criteria for success. This is the point where we verify that the task is correctly formulated before we start solving it.

Then development moves in iterations, with a concrete result in each phase. You review reports, give feedback, and the next stage takes your comments into account. This way, the solution is built step by step, and you have the opportunity to influence it along the way.

How much of my time and attention will the project require?

Daily immersion is not required, but complete detachment will not work either. At the start, it is important to properly hand over the context and answer key questions. After that, you occasionally need to make decisions on priorities, review demos and reports, and give feedback. The clearer the communication at each stage, the fewer revisions and misunderstandings at the end.

Who manages the project on the IWIS side?

Every project has a dedicated manager who is responsible for communication with the team, deadlines, coordination, and client updates. You communicate with one person who knows the state of the project better than anyone. We choose the methodology based on the specific context: Scrum, Kanban, or a hybrid if you already have your own internal processes that we need to adapt to.

How do changes in requirements affect the timeline and budget?

With T&M, new priorities simply fit into the next cycle. With a fixed budget it is more complicated, but still manageable: we sit down, look at the current scope, and decide what is more important to do now and what can be postponed. The key point is that no decision is made without your involvement. Everything is transparent, and you always know what changed and why.

How is testing done before launch?

A QA engineer works within the same team and gets involved with every feature. Manual testing covers scenarios where logic and user experience matter. Automation is added where the same things need to be checked regularly, without errors caused by the human factor.

We separately test load, security, and edge cases. Before release, the client goes through final acceptance testing on the live system. This is a full verification of what is about to be launched.

What technology stack do you use in real projects?

In backend development we work with PHP (Phalcon, Yii2), Java, and Symfony; for integrations — REST API and GraphQL. We most often build the frontend with Vue.js, use PIMCore for content management, and Swift and Kotlin for mobile solutions. All of this has been used in real projects for retail, e-commerce, the public sector, media, and manufacturing.

The stack is always chosen for the task. In one project, performance is the priority; in another, integration flexibility; in a third, scalability. And we always explain to the client why we propose this particular set of tools.

Can you connect to the systems already running in our company?

We have connected products to CRM, ERP, warehouse systems, marketing platforms, payment gateways, email services, government APIs, and marketplaces. If a system has an open API, we connect directly. If not, we find another way: parsers, proxies, custom connectors. What matters is that the result works in a real operational environment.

What happens to the code after the project is completed?

The code, documentation, and infrastructure are fully transferred to you after payment. We hand everything over to your Git or any other system of your choice. No closed modules or hidden dependencies that would tie you to us. If you want to change vendors or develop the product with your own team — there are no obstacles.

How do you control code quality during development?

The code goes through several levels of review, manual or automated testing, and performance and security checks. But an even more important factor is the design stage. If a feature is poorly thought out or logically contradicts the rest of the system, it does not make it into development. Fixing architectural decisions after release is far more expensive than asking the right questions at the start.

What documentation do you provide with the product?

We write documentation as part of the development process. Usually this includes technical documentation describing the architecture, data structures, and API, instructions for users or administrators, and a knowledge base or glossary for the client's team. The specific format is agreed based on your needs, depending on who will work with it going forward.

What happens to the project right after release?

The first weeks after launch are the most active period. Production always reveals things that are not visible in testing: behavior under real load, unusual user scenarios, small refinements in the logic. We stay close to react quickly to all of this. After stabilization, we either hand the product over to your team with full documentation or move into a long-term support format.

What post-launch support options do you offer?

From minimal monitoring to full technical support, depending on what is needed. For critical projects, we sign an SLA with clearly defined response times. For less critical ones, we offer a flexible format by agreement. Support covers bug fixing, library updates, security, and optimization.

Can the system be extended and developed further after launch?

If the architecture is designed with growth in mind — yes, and that is exactly how we build it. New modules, increased load, additional integrations — all of this is accounted for at the level of decisions made before the first line of code. We have cases where an MVP assembled in a few weeks grew into a full-fledged platform without the system having to be rewritten from scratch.

How do you respond to bugs discovered after release?

A halt in business processes caused by a bug costs far more than a quick fix. That is why in the first month after launch we respond as fast as possible. After that, support follows an agreed schedule or works on request. If someone has made changes to the system after us, we first figure out what changed and where, and then decide how to fix it.

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Additionally

IWIS development principles

Digital transformation solutions built around business needs

Our transformation initiatives focus on clear operational objectives. The work is directed toward execution, transparency, and control of core business processes. Companies operate faster. Reporting becomes clearer. Operational friction decreases without additional complexity.

IWIS operates as a digital transformation agency where change occurs through a structured program, not through a set of tools. Strategy, technology, and process optimization align within a single execution model. Fragmented platforms transform into a unified digital ecosystem. Teams work faster. Leadership relies on consistent data. This approach has been applied across more than 90 projects. These environments are complex, and stability is critical.

Digital transformation solutions built on business needs

Each initiative begins with a business-focused assessment. Teams examine systems, workflows, and data flows. This helps identify bottlenecks, manual operations, and operational risks. It also reveals where execution slows down and where productivity declines.

Next, a clear action plan defines measurable outcomes. As a digital transformation company, IWIS focuses on implementation, not theory. Automation consolidates repetitive tasks. Cloud integration connects systems. Data analytics and API integration unite tools into a single operational environment. Legacy system modernization occurs in stages. Day-to-day operations remain stable throughout the process.

Business digital transformation: from strategy to implementation

Large-scale change requires structure and discipline. Adding new tools to inefficient processes increases complexity. Teams begin with assessment and planning. Then they move to system integration. As the organization grows, long-term optimization occurs.

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