The goal of our service is to explore and establish where and in what form AI can be applied to create real business value in the organization.

During the cooperation, we map key processes, decision situations, and repetitive manual activities, and then determine where AI-based support is justified and where it is not. We translate business expectations into solutions that can be developed and applied in a corporate environment, taking into account data quality, compliance aspects, and operational constraints. The result is a clear picture of which AI solutions actually fit business needs and which ones bring a measurable impact.

Toolset and competence: Latest AI tools, technologies, and models: Claude, Copilot, Gemini, ChatGPT. Business and IT models: Opus, Sonnet, GPT 5.5, and many others. Architecture, cloud/on-prem solutions. Security/AI compliance expertise. Technical breakdown of business requirements (BPMN), embedded AI solutions, AI-supported communication and learning tools, Power Platform and Power BI integrations. Camunda and other AI-assisted process/workflow solutions.

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The primary goal of our business intelligence service is to provide business meaning to data that executives can act on. We deliver reports, forecasts, and management decision support, even in a multi-country environment.

The solution is not just technology: it covers data collection, cleansing, integration, and dashboard development, as well as business interpretation, training, and implementation. Our goal is planning for the future and identifying risks in time. Data-driven planning makes resource and cost allocation more predictable, reduces uncertainty, and supports responsible management decision-making.

Used technologies: PowerBI, PowerAutomate, PowerPlatform, Python, Databricks. Various AI tools to accelerate development: Claude, Opus, Sonnet, VS Code, Copilot.

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Sustained SLA performance of 98%–100%, serving a large enterprise department or a multi-thousand-employee operation across multiple countries – without increasing headcount.

Result: Unified SLA frameworks create clear expectations and prioritization in the client-supplier-internal colleague relationship, with more efficient operations leading to a more predictable monthly fee, since remuneration depends on the SLA result.

Our service covers the development of SLAs, the construction of the measurement and reporting system, as well as the full operation of the processes.
The model increases the stability, scalability, and controllability of the operation.

Toolset: ticketing, workflow and task management systems, trackers, PowerBI, and AI development environments.

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The goal of our service is to simplify corporate management and daily work.

Content: analysis and redesign of existing business processes and real operations.
During the analysis, we break down current operations into business needs, data, actors, and decision points. AI is an essential part of our work; with these tools we can achieve a 100-300% acceleration in process reverse engineering and development, and teach this to companies. The result is a decision-supporting, documented, and digitizable process model, which is a direct foundation for developments, automation, and more manageable business operations. Particular emphasis is placed on the business interpretability of the operation and its applicability to day-to-day operations.

Tools and methodologies used: business and system analysis, BPMN, RACI, stakeholder and requirement analysis, Confluence, draw.io, Miro, Microsoft Power Platform, data and process modeling, Celonis.

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The goal of the Low-Code automation service is to rapidly digitize and automate critical business and operational processes without setting up a development team.

Building on existing processes and data, we create functioning applications, forms, and automations. The solutions are easily modifiable, scalable, and fit into the existing corporate environment. The result is a measurable reduction in time and administration, as well as more unified data management.

Tools and technologies used: Microsoft Power Apps, Power Automate, SharePoint, Excel, data modeling, low-code workflow design, Cursor/VS Code, extensive AI tools supporting development, Azure, GitHub, GHE.

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