Frequently Asked Questions

After automation, the actions that used to take time every day disappear: manually transferring information, checking the same statuses, preparing routine reports, reminding colleagues about the next step.

People do not drop out of the process, but their role changes. They control the outcome, handle exceptions, and focus on tasks that require experience, communication, or a management decision.

RPA mimics user actions in the interface: it opens pages, clicks buttons, copies or pastes data. This works for simple scenarios where there is no integration-level access to the system.

Custom automation works deeper: through APIs, its own logic, modules, or integrations between systems. It is chosen when stability, scalability, and precise control over data are required.

Of course. After launch, the team receives an explanation of how the new process works, which actions they need to perform, and whom to contact with questions. If needed, we prepare short guides or videos, or run a training session.

We do everything so that employees can use the solution on their own, without developers having to be constantly involved in daily work.

If the company already has a CRM, ERP, CMS, warehouse system, marketplaces, or other platforms, they can be connected so that data does not have to be transferred manually.

For example, an order can automatically flow from the website into the CRM, the status can be updated in the client's personal account, and payment or delivery data can be passed to the right system without a manager's involvement.

Yes, but first you need to assess the limitations of the specific software. If there is no direct API, other options can be considered: working through the database, exchange files, RPA scenarios, parsing, or an intermediate technical layer.

The key is not to connect things at any cost, but to make the solution stable. If a workaround is too risky, it is better to see that right away rather than build automation on fragile logic.

Security is built in at the level of access rights, data transfer, and action control. Roles can be configured for different users, access to sensitive information can be restricted, secure connections can be used, and key operations can be recorded in logs.

It is also important that the system shows who performed an action, when it happened, and which data was changed. This helps control the process and find the cause of an error faster if one occurs.

Properly built automation should not break silently. It should record the error, show at which stage the problem occurred, and notify the responsible people.

For critical processes, a fallback scenario can be provided: reprocessing, manual confirmation, a task queue, or a temporary return to a controlled manual mode. This reduces the risk of downtime and helps restore operations quickly.

The result is judged by what changed after launch: how many manual actions disappeared, how much faster the process runs, whether there are fewer errors, and whether statuses and responsibilities are easier to control.

Before implementation, it is worth recording the current metrics — for example, request processing time, the number of manual operations, or the error rate. Then, after launch, it is clear exactly what improved and how to measure it.

The first launch usually covers the main scenario that was bothering the team the most. After that, you can see how the solution behaves in real conditions: where additional rules are needed, which steps should be simplified, which exceptions repeat most often.

Based on this, the automation can be extended without restarting the whole project. New scenarios are added, other services are connected, and the logic is refined for different roles in the team.

From analysis to launch — the full cycle without handovers between vendors. We describe how the process works now, find where it breaks down or slows down, design the new logic, develop, test, and launch it together with the client's team. After that, the solution can be maintained and extended for new tasks.

Yes. At the start, we can hold a consultation or a workshop to understand which processes in your company are really worth automating.

During such a session, we usually go through the current logic of work, the problem areas, possible solution options, and a rough sequence of steps. This helps avoid investing in automation blindly.

Automation is best launched gradually. First, the new logic is tested separately from the main process, then verified on a limited group of users or data, and only after that moved into full operation.

This approach makes it possible to find errors before a large-scale launch, prepare the team, and avoid breaking a process that already keeps the business running every day.

We develop online stores and e-commerce platforms tailored to a specific sales model. This could be a website for retail customers, a B2B portal for regular clients, a ticketing system, or a solution with personal accounts and a loyalty program.

Before development, we look at how your sales are organized, who uses the system, and which actions need to be automated after an order is placed.

The platform depends on how exactly your business works. For a simple launch, a ready-made CMS or SaaS solution may be enough. If you need non-standard sales rules, different user roles, complex pricing logic, or integrations with internal systems, custom development is the better option.

At the start, it is also important to assess how the platform will handle growth: new sales channels, a larger catalog, other countries, additional payment or delivery methods.

Yes. We can create an online store from the first structure to launch: catalog, product pages, cart, checkout, payment, customer account, and the administrative part.

If the business already has a CRM, ERP, warehouse system, or other services, the store can be designed with these connections in mind from the start, so that data does not have to be transferred manually after launch.

The timeline depends on the scope of functionality, the design, the number of integrations, and the readiness of the content. A simple MVP can be launched in as little as 1-3 months, while complex e-commerce systems with multiple roles, accounts, and external services require more time for development and testing.

It is usually better to launch a project in stages: first a basic version for sales, then add advanced features.

The feature set is determined by the business model. For B2C, fast purchasing matters; for B2B — individual terms and repeat orders; for a marketplace — seller roles, commissions, and moderation.

An e-commerce solution can include: a catalog of products or services, search, filters, product pages, a cart, payment, a user account, order history, promo codes, bonuses, notifications, and an admin panel.

Yes. Payment systems, bank cards, installment payments, or any other methods your market requires can be connected to the e-commerce site.

Status handling is configured separately: successful payment, error, cancellation, refund, or payment retry. This is important so that orders do not get lost due to technical failures.

Yes, if the website is connected to the system where inventory is tracked. This could be an ERP, a CRM, warehouse software, or a custom database.

Stock levels can be updated in real time or on a schedule. The choice depends on the number of products, the speed of sales, and how critical it is to show the buyer exact availability.

A CRM can be connected to transfer orders, contacts, statuses, purchase history, customer segments, or data for marketing campaigns.

This helps managers see the full picture of each customer without gathering information manually from different sources. For the business, it is also a solid foundation for repeat sales, personalization, and service.