URL: https://casterconsulting.hu/en/ai-solutions/ # AI that does real work in your company. Caster Consulting implements business AI solutions for small and mid-sized companies: internal knowledge assistants, document and invoice processing, AI agents and Microsoft Copilot. We build working systems, not demos, and the first step is always finding out where AI pays off. ## Everyone talks about AI. But where to start? Most companies do not lack technology – they lack focus. We help you pick the one or two use cases where AI delivers tangible results within weeks. ### Your team keeps asking the same questions Knowledge sits in e-mails, folders and people’s heads. Everyone searches, and the same questions come up again and again. ### Documents are retyped by hand Invoices, delivery notes, contracts: hours go into manual data entry, and errors creep in along the way. ### You tried ChatGPT, but it never became a system Everyone uses it differently, there is no rule on what data may go in, and it is not connected to your business systems. ## Your team asks, your company knowledge answers. The internal assistant searches your own documents: policies, product data, process guides. It cites the source next to every answer, and only uses what the person asking is allowed to see anyway. ## Where AI pays off today. We start from proven patterns and adapt them to your data and systems. ### Internal knowledge assistant A chat that answers from your own documents: policies, product data, process descriptions. With source references, respecting permissions. E.g. onboarding new staff, customer service ### Document processing Extracting data from invoices, delivery notes and orders and recording it in your business system, with human review. E.g. incoming invoices, purchasing ### AI agents Agents that complete multi-step tasks on their own: triaging e-mails, drafting replies, reconciling data between systems. E.g. preparing quotes ### Microsoft 365 Copilot rollout Licensing strategy, cleaning up data access, training and usage rules, so Copilot is actually useful. E.g. meeting summaries, Excel analysis ### Reports and analysis Natural-language questions on your company data, automatic management summaries that explain the numbers. E.g. weekly sales report ### AI policy and compliance What data may go into AI tools, who may use what? Policy, training and readiness for the EU AI Act. E.g. internal AI usage policy ## Start small, measure, then scale. 1–2 weeks ### AI assessment Reviewing processes and data, ranking the opportunities by return and risk. 2–4 weeks ### Pilot A working prototype in one selected area, with real data and success metrics agreed up front. Project-based ### Rollout Integration with your systems, permissions, training, usage rules. Ongoing ### Measure and improve We track accuracy and savings, then extend to the next area. ## Your data stays with you. ### Enterprise AI services We use services and settings that do not train on your data, with EU data residency wherever possible. ### Permission-aware access The assistant only sees and tells what the user is allowed to access anyway. ### Human in the loop Where mistakes are costly, AI proposes and a person approves. Every step is logged and traceable. ## What our team has achieved. Earlier projects of our team members at international enterprises and SMEs. We do not name the clients. Retail · AI and automation ### Competitor price monitoring with AI instead of three people At a home furnishings retail chain, three employees tracked competitor prices and promotions manually. On the ZEBEQ platform we built an AI-based system that follows the prices, product data and promotions of 20 web shops, matches the products, suggests prices, and helps plan promotions and purchasing. 20 web shops monitored 4 months to go-live 3 people’s manual work automated ## What people ask about AI. ### How much does an AI project cost? The AI assessment is fixed-price. After that we quote a pilot item by item, with success metrics agreed in advance, so you know whether it pays off before a larger investment. ### Do we need our own development team? No. We handle the rollout and operation; your team only needs to use it. If you like, we also train your internal key users. ### Which AI model do you use? We choose among the leading providers per task (for example Anthropic Claude, OpenAI, Microsoft Copilot), vendor-neutrally, weighing cost, accuracy and data handling. ### What about GDPR and the EU AI Act? We consider both from the design stage: what data is processed, where it is stored, and which risk category the use case falls into. ### How soon will we see results? A well-chosen pilot is ready in 2–4 weeks, and the time it saves is measurable at that point. A full rollout depends on the size of the area. ## Let’s find out where AI pays off for you. In a free 30-minute conversation we review the options and tell you honestly where to start.