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
A mini audit helps estimate scope and resources. Typically 1–2 internal experts and targeted data are needed.
Start with 30–90 days of high-quality data. The rest can be enhanced using feature engineering.
Yes — we offer online and in-person workshops in Budapest and nationwide.
It prevents stockouts and overstocking by forecasting demand and suggesting optimal inventory levels.
Most features are supported. For advanced voice capabilities we provide alternative workflows.
Pilots usually start low-cost with fast ROI. Final pricing depends on scope validated during the audit.
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.