Business AI and machine learning for Hungarian companies: predictive analytics, process automation and AI decision support that deliver tangible results in 90 days. Grepton AI consulting in Budapest and nationwide, with Dynamics 365 Copilot and Azure AI integration.
Introducing AI is not a project — it’s a shared development journey.
Implementing artificial intelligence is not just a technological choice; it marks the beginning of a long-term partnership. We believe AI should be integrated gradually but continuously — with a partner who guides your organization along the way and helps identify the first tangible success.
This journey is also a human one: it requires a new mindset, learning, and trust. It’s natural for AI adoption to raise questions or concerns at first — which is why we introduce the technology with a people-centric approach, step by step.
AI-based invoice processing automatically extracts and validates invoice data, flags anomalies, and prepares entries for accounting. Predictive analytics forecasts the risk of late payments at a cash-flow level.
Topic detection • Canned response • routing and SLA monitoring
Machine learning for Hungarian companies applied to the sales pipeline: lead qualification, probability-based forecasting, and churn-risk detection. Implementing Dynamics 365 Copilot supports sales teams with a unified data view and actionable recommendations.
probability-based forecasting • next best offer • team/product reports
AI-driven automation in customer service: ticket classification, response drafting, intelligent routing, and real-time AI decision support. Faster case resolution, a unified knowledge base, and an improved customer experience.
Topic detection • Canned response • routing and SLA monitoring
Predictive analysis in inventory management minimises stock shortages and overstocking. Time series ML models indicate seasonal fluctuations and campaign effects.
time-series ML • inventory level recommendations • alerts & dashboards
Machine learning supports candidate screening and predicts employee churn. All processes follow transparent, responsible AI principles with human oversight and approval.
candidate scoring • attrition risk • learning/development recommendations
15 questions to tell you where you are in your AI journey – and where to start.
18 quick questions to help you see where you are in digital and AI.
PII management, roles, audit logs.
Azure AD/MFA, encryption, up-to-date compliance.
Transparency, people in the decision, bias tests.
Agent-based automation for business processes.
PII management, roles, audit logs.
Azure AD/MFA, encryption, up-to-date compliance.
Transparency, people in the decision, bias tests.
Agent-based automation for business processes.
2 weeks
6-8 weeks
2-4 weeks
The mini audit helps estimate the scope and required resources. Typically, 1–2 internal experts, a few hours per week, and a focused data set are needed.
It is worth starting with 30–90 days of good-quality data; missing data can be handled through data enrichment and feature engineering.
Yes, we provide on-site or hybrid workshops in Budapest and across Hungary, tailored to your needs.
It can reduce stockouts and overstocking, forecast fluctuations in advance, and recommend optimal inventory levels.
Yes, most business functions work well, and where needed, we support them with complementary processes or custom solutions.
The cost always depends on the goals, the state of the data, and the depth of integration. In most cases, an accurate estimate can be given after a mini audit.
The AI Agent developed for ANDA Present Group provides rapid access to internal SharePoint documents and policies. Integrated into Microsoft Teams, the solution supports employees’ daily tasks with strict permission management and authentic source attribution, all while minimizing the risk of misinformation.
