Business AI and machine learning for Hungarian companies: predictive analytics, process automation, and AI-driven decision support that deliver tangible results within 90 days.
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.
What do I get? topic detection • automated response templates • routing & 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.
What do I get? 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.
What do I get? topic detection • automated response templates • routing & SLA monitoring.
Predictive analysis in inventory management minimises stock shortages and overstocking. Time series ML models indicate seasonal fluctuations and campaign effects.
What do I get? 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.
What do I get?
candidate scoring • attrition risk • learning & development recommendations
Automated ticket categorization, AI-driven decision support for agents, and a self-service portal. Measurably faster resolution times.
What do I get? ticket classification • knowledge article recommendations • self-service FAQ
PII handling, role-based access, audit logs.
Azure AD/MFA, encryption, continuous compliance.
Transparency, human-in-the-loop decision making, bias testing.
Agent-based automation for business processes.
Mini Audit & Goals: Use-case selection, data readiness, KPIs.
2 weeks
Pilot / PoC: Data preparation → model/agent → pilot operation.
6-8 weeks
Rollout: Training, dashboards, ROI reporting.
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 targeted dataset are needed.
You can already start with 30–90 days of high-quality data; the rest can be handled through data augmentation and feature engineering.
Yes, we provide both on-site and online workshops in Budapest and across the country.
It reduces stock shortages and overstocking, predicts fluctuations, and recommends optimal inventory levels.
Yes, most features are supported; for specific speech functions we provide alternative workflows.
At the pilot level, companies can usually start with a lower cost range and achieve fast ROI; exact details are defined after the mini audit.
AI solutions can include predictive analytics, chatbots, document processing systems, or image recognition tools.
Machine learning is a branch of AI where systems learn from data and make decisions based on patterns.
AI can assist in customer service, sales, inventory planning, and risk assessment.
Case study 1
Let’s start with a 30-minute conversation: You show us the process — we provide 2–3 quick, high-ROI use-case ideas.