Enterprise AI and Decision Intelligence
From data management foundations through business reporting to intelligent automation, we help deliver the solutions that support your company's everyday decisions and processes.
01 /
With Data Governance, data mart design and ETL engineering we put the foundations of data management in order. Without clear data quality, responsibilities and system links, later analytics and AI solutions would also rest on shaky ground.
02 /
BI & Reporting makes operations transparent, and machine learning examines patterns and expected changes. We fit the reports and the RapidMiner-based modelling to the concrete business questions and the data available.
03 /
With Mendix-based AI agents we support task execution and information processing. We also use AI-assisted development methods, with human review and the company's data handling requirements in mind.
Our approach
We start from a concrete business problem and first examine the data, the processes and the conditions for feasibility. We test the chosen use case in a limited scope, with measurable acceptance criteria. We integrate AI solutions into enterprise applications, with defined permissions and human approval where needed.
How we work together
Together we define the decision to support or the task to automate. We examine the data sources, their quality and the conditions of access.
We choose the data management, reporting or AI solution needed. We record the pilot's success criteria and the points of human control.
We build a solution you can try out, with the system connections it needs. We evaluate accuracy, usability and risks on real business cases.
Based on the pilot, we roll the solution out to the approved scope. We monitor operations and business results, and plan the expansion from them.
Related case study · Montelektro
In Montelektro's Mendix-based CRM extension, an AI agent was connected to the start of the process. The project is a direct example of AI and process support built into an enterprise application.
