Intelligent Automation and AI
RPA (Robotic Process Automation) is a technology that automates repetitive, rule-based tasks performed by operational teams on a daily basis. At Mindbox, we combine RPA with AI, OCR, NLP, and Microsoft Copilot to automate not only simple activities, but also data- and document-driven processes.
Our automation solutions relieve teams of manual work, accelerate process execution, and improve data quality across operations, finance, HR, and analytics. With over 500 automation deployments, we build stable, scalable solutions that help companies grow without increasing operational costs.
A complete automation ecosystem: Studio, Orchestrator, Task Mining, Document Understanding, and AI Center. Enables building, training, and scaling automation across the entire organization.
See UiPath in action → CTA to UiPath technology page
iOCR and AI technologies for document reading: from simple forms to complex invoices and contracts. The foundation for data-driven automation.
Automation of office, financial, and analytical tasks. Copilot accelerates team work and supports decision-making by integrating with the entire M365 ecosystem.
Low-code / no-code for building applications and automation by business users. Combines Power Apps, Power Automate, and Copilot integrations.
An analytical environment based on lakehouse: a single place where companies store all their data and use it immediately for reports, automation, integrations, and AI model training. Lakehouse provides consistent, up-to-date data without the need to build multiple different platforms.
We guide organizations through the complete automation journey: from identification and design, through RPA, Copilot, and AI implementation, to scaling and ongoing maintenance.
A team of certified UiPath and Microsoft Copilot experts with deep implementation, analytical, and technical expertise. We work end‑to‑end: identifying high‑ROI processes, building and deploying solutions powered by RPA, AI, and Document Understanding, and ensuring ongoing stability and scale.
Our approach is data‑driven, grounded in governance best practices, and based on close collaboration with the business and technical teams who use the automation every day.
Daniel Chrapczyński
Autonomous Enterprise Manager
Łukasz Ewertowski
Head of Microsoft CoE
Kamil Kamiński
Senior Business Development Manager
RPA automates repetitive operational processes in systems and application interfaces. Copilot accelerates work with documents, analysis, and communication using generative AI. Both approaches work well together in Microsoft 365 environments.
Yes. Many organizations start with small automations that deliver quick results and help build a pipeline for more scenarios.
It’s best to begin with Awareness and Discovery workshops. During these sessions, we identify processes for automation together, assess environment stability, and prepare an action plan covering development and governance.
The first working automations can be ready within a few weeks. Stabilization effects and a drop in incident numbers are noticeable after the first maintenance iterations.
Yes. We use UiPath and Azure in compliance with security, audit, and compliance standards. We ensure access control, activity logging, and proper governance to protect data and processes.
Yes. We start with a quality and stability audit, then take over monitoring and further automation development. We stabilize the environment so bots run predictably regardless of the original vendor.
We measure automation value by operation time, number of errors avoided, volume of cases handled, and working hours recovered. We create Power BI dashboards that show bot efficiency, incidents, SLA, and the actual impact of automation on processes.
In most cases, automation works on top of existing systems—through the user interface (UI) or API—without requiring changes to their code. This makes implementation faster and less risky than traditional integrations. In more complex environments, we design a stable approach tailored to the client’s IT architecture.
Automations are designed with exceptions, alternative scenarios, and process changes in mind. The system logs events, detects errors, and triggers notification or escalation mechanisms. This enables quick response and ensures continuity even when processes or systems change.
Automation delivers the most value in repetitive, data- and document-driven processes. Typical areas include finance (e.g. invoicing, reconciliations), HR (onboarding, payroll), operations, and customer service. In practice, we start with process analysis to identify areas with the highest ROI potential.
Intelligent Automation and AI
Intelligent Automation and AI
Intelligent Automation & RPA
Intelligent Automation & RPA
Digital Transformation
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