FAQ — questions about process applications, AI and automation
Frequently asked questions
Answers to the questions we get asked most often about process applications, automation, AI in processes and deployments. If you can’t find your answer here — get in touch.
How to use the FAQ?
We’ve split the questions into three categories: process applications and transformation, AI and automation, and deployment and cooperation. Click a question to see the detailed answer.
Why did we create the FAQ?
We’ve been hearing the same questions during first meetings for years. Writing them down here saves your time and helps you prepare better for the conversation. Full transparency — no marketing fluff.
Have a different question?
Write to us via the contact form — we reply within 24 hours. The first consultation and project estimate are free.
Digital transformation
What digital transformation is, where to start, how long it takes and costs, and how we keep your data secure.
Digital transformation is not just about introducing new technology — it is about changing the way the entire organisation works. It covers digitising processes, eliminating information silos, basing decisions on data rather than intuition, and automating repetitive work. The goal: the company operates faster, cheaper and with fewer errors, regardless of its scale.
You start with a process audit — we identify the "bottlenecks": processes that take the most time, generate the most errors or require manually re-entering data between systems. The first application should solve one specific pain point, ideally the one employees report most often. Success builds acceptance for the next deployments.
The first measurable results appear as early as 6–8 weeks after the start — that is the time needed to map and digitise the first process. Full transformation of key processes usually takes 6–18 months, but we work iteratively: each stage delivers concrete value, and you decide on the pace and scope.
The cost depends on scale and scope — from a few thousand euros for digitising a single process, up to larger budgets covering the entire organisation with integrations and AI. We offer flexible models: a one-off project, a monthly subscription or a hybrid. The first consultation and project estimate are free — let us talk about your processes.
Yes — and SMEs often gain proportionally more than large corporations. In smaller companies every saved working hour is immediately visible in the bottom line. We start with the most painful process (e.g. quoting, complaints, quality control) and expand gradually — without multi-million budgets and months of analysis.
Concrete, working process applications tailored to your company, employees who no longer waste time manually re-entering data, measurable KPIs in real time (instead of monthly reports after the fact), full process documentation and a strategy for further digital development. And there is no vendor lock-in — the code and data always belong to you.
We host data in the EU, use SSL/TLS encryption, backups, role-based access control and security monitoring (Cloudflare). We meet GDPR requirements and work in line with ISO 27001 (Information Security) and ISO/IEC 42001 (AI Management). The client always remains the owner of their data.
Business process management (BPM)
What BPM is, how we map processes in practice and what measurable results their optimisation delivers.
BPM (Business Process Management) is a systematic approach to designing, monitoring and optimising the processes in a company. It is not about a one-off "revolution", but about continuous improvement: mapping how you really work, identifying waste and bottlenecks, and then introducing data-backed improvements.
We start with workshops with operational staff (not just managers) — they know the real course of the process best. We note every step, decision, document, tool, duration and error frequency. The result is a clear "as is" map, which we compare with the "to be" version — that is, the optimised one.
Classic BPM systems (e.g. Bizagi, Camunda) are universal and require configuration — often long and costly. A process application is a dedicated tool for a specific process in your company: faster to deploy, simpler for the user, cheaper to maintain. They can also be combined — a BPM engine underneath, a simple interface for the end user.
Those that meet 3 criteria: they are repetitive (we perform them often), they are measurable (we know their time and cost) and they are a source of frustration or errors. The typical "candidate number 1" is quoting and sales processes, production quality control, complaint handling, employee onboarding and management reporting.
Most often we observe: a 30–60% reduction in process completion time, a 50–80% reduction in operational errors, savings of 4–10 hours per week per operational employee, full real-time visibility of order status and better communication between departments (no more "pinging by email").
No. Most of our deployments integrate with existing systems (ERP, CRM, e-commerce, accounting, warehouses, BI) via APIs, webhooks or direct database connections. We do not force companies to abandon working tools — we combine them into one coherent process environment.
We usually launch the first process in 4–8 weeks (mapping + MVP application + training). A full BPM rollout for the entire organisation is a project spread over 6–12 months, but delivered in stages — each iteration brings measurable results within just a few weeks.
Process applications
What process applications are, how they differ from ERP/CRM, how AI supports them and what deployment looks like.
Process applications are dedicated digital solutions that organise, automate and measure specific business processes in a company — from taking orders, through quality control, to reporting for management. Instead of patching things together with spreadsheets and emails, you get one coherent tool tailored to how you really work.
ERP and CRM are off-the-shelf systems that you have to adapt your company to. A process application is the opposite — we adapt it to your processes. As a result, the team does not have to learn a new way of working, and deployment is much faster (weeks instead of months).
AI in processes is not marketing — it is concrete: extracting data from invoices and documents (OCR + LLM), classifying customer requests, demand prediction, generating reports in natural language, assistants for employees answering questions about procedures. We apply AI where it genuinely saves time or improves quality — not for the sake of AI itself.
Yes — contrary to popular belief, smaller companies gain the most. SMEs usually do not have an extensive IT department, so every hour of automation is a real saving. We start with the most painful process (e.g. quoting, complaints, quality control) and expand gradually.
The first working version (MVP) is usually ready in 2–6 weeks. Full deployment with integrations, automations and team training takes 2–4 months. We work iteratively: instead of waiting half a year for the "final" version, you get a working tool quickly and develop it with further features.
The cost depends on scale — from a few thousand euros for a simple application for one department, to larger amounts for solutions covering the entire organisation with integrations and AI. We offer flexible models: a one-off project, a monthly subscription or a hybrid. The first consultation and estimate are free — let us talk about your process.
Yes. We integrate most process applications with existing systems (ERP, CRM, e-commerce, accounting, warehouses, BI) via APIs, webhooks or direct database connections. We do not force companies to abandon working tools — we combine them into one coherent environment.
Yes. We host data in the EU, use SSL/TLS encryption, backups, role-based access control and security monitoring (Cloudflare). We meet GDPR requirements and work in line with ISO 27001 and ISO/IEC 42001. The client always remains the owner of their data — there is no vendor lock-in.
Application catalogue
Questions about ready-made applications from the catalogue: customisation, demos, industries, cost and time to launch.
Most applications in our catalogue can be launched within a few days — they are proven solutions already used by other clients. As part of deployment we configure the application for your data, integrate it with existing systems and train the team. Typically the application is in production use within 2–4 weeks.
Yes — every application in the catalogue is a starting point, not a closed, finished product. We customise: form fields, process stages, user roles, notifications, integrations, reports and the interface. The client receives an application tailored to their reality, not a generic off-the-shelf tool.
We build dedicated applications from scratch. The catalogue is just a sample — in practice every client has 1–2 processes specific to their industry or business model. In that case we start by mapping the process, design the application, deliver an MVP in 4–6 weeks and develop it iteratively.
Yes — we arrange a free presentation (remotely or on site) during which we show a genuinely working application, discuss your process and provide an initial estimate of the customisation scope. It usually takes 30–60 minutes and requires no preparation from your team.
We have the most deployments in: manufacturing (quality control, planning, reporting), logistics (warehouses, transport, returns), B2B services (quotes, contracts, projects), e-commerce (returns, complaints, inventory management) and education and administration. Check the Industries section to see sample deployments.
The cost depends on the scope of customisation and integration — most applications from the catalogue can be launched within a budget of a few to several thousand euros (one-off) or in a subscription model starting from a few hundred euros per month. More extensive projects with AI and integrations are quoted individually. The first estimate is always free.
AI in processes and automation
How AI supports business processes, what hyperautomation is and whether AI will replace employees.
Automation starts with mapping the process (who, what, when, why). Then we identify repetitive, manual or error-prone steps — and replace them with rules in the application: automatic notifications, document generation, data validations, integrations between systems. The result: employees focus on decisions, not on re-entering data.
No — AI replaces specific tasks, not people. In business processes, AI works best where people perform tedious preparatory work (classification, extraction, summarisation). Employees gain time for decisions and customer contact — that is, what truly creates value.
Hyperautomation is combining various technologies (BPM, RPA, AI, API integrations) into one coherent system that automates even very complex processes end-to-end. Instead of automating single steps, we automate entire decision chains — involving a human only where one is truly needed.
Deployment, cost and support
How long deployment takes, how much it costs, what integration with existing systems looks like and what happens after launch.
No. We build applications so that changes to business rules (e.g. a new status in the workflow, an extra form field, a different approval path) are possible without programming. We handle larger extensions for you or train your team. The company does not become a hostage to its supplier.
With specifics: process completion time (before/after), number of errors, operational cost per transaction, internal and external customer satisfaction. The application has dashboards with these metrics built in from day one, so the real ROI is visible within just a few weeks.
Yes — we build applications as responsive, working in the browser on a computer, tablet and phone. For selected scenarios (e.g. field work, the production floor) we also create dedicated PWA mobile applications with offline mode.
We design process applications to be flexible. Changing an approval path, adding a new status or a new role is configuration, not rewriting code. We assume your processes will evolve — and that is a strength, not a problem.
Yes. Every deployment ends with training — both for end users (how to operate the application) and for administrators (how to make changes independently). The training materials stay with the company, so new employees can learn without our involvement.
After deployment we stay in touch — we answer questions, develop the application with new features and monitor its operation. As standard we offer 3 months of support included in the project price, and afterwards flexible SLA packages tailored to the scale of usage.
Yes. We have both ready-made demo applications (e.g. for order management, quality control, document workflow) and full case studies of deployments in companies — check the Case Studies section. At the first meeting we will show a demo tailored to your industry.
Three things: (1) we start with the process, not the technology — first we understand the business, then we choose the tools; (2) we work iteratively — the first working version is ready in weeks, not months; (3) we leave the company self-sufficient — we do not want to make you dependent on us. Plus real experience from dozens of deployments in companies.
Contact us via the form on the /contact page — within 24h we will arrange a free consultation. At the first meeting we discuss your processes, identify the biggest pain points and show concrete paths to a solution. No commitment — the project estimate is free.
