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AI use cases
- Customer support chat assistants
- Internal knowledge base search
- Document OCR and classification
- Product recommendations in stores
- Order and email summarization
Services
AI Solutions
We integrate AI into websites, e-commerce, and internal systems to automate routine work and reduce operational costs.
About this service
AI solutions are now standard agency offerings—from support chatbots to document understanding and personalized recommendations. What matters is secure data handling, clear prompts, and workflow integration—not a disconnected demo.
We deploy LLM assistants with retrieval (RAG), AI catalog search, marketing content assistance (with human review), and automation for repetitive API workflows.
We start AI projects with benefit and risk analysis: where you save time, GDPR requirements, and how to measure ROI.
What you get(4)
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Implementation
- OpenAI / Azure / open-source models
- RAG and vector databases
- Website and CRM integration
- Rate limiting and security layers
- Logging and quality monitoring
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Responsible AI
- GDPR and data minimization
- Human review on critical outputs
- Clear AI disclosure to users
- Hallucination mitigation practices
- Policy and playbook documentation
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Growth
- MVP in weeks
- Training for your team
- Continuous improvement by metrics
- Tie-in with marketing and SEO
- Expanded API automation
Why Meta Solutions
- Practical ROI focus, not hype
- Integrated with our web and e-commerce
- Security and GDPR from day one
- Solutions adapted for LT and EN markets
Frequently asked questions
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Will AI replace all customer support?
Usually not—we recommend a hybrid: AI for routine, humans for complex cases.
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Will our data train public models?
We configure systems so confidential data is not used for training; we use RAG and access control.
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How much does an AI chatbot cost?
From a fixed-price MVP to monthly support based on volume and API costs.
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Can you add AI to an existing site?
Yes—via widget, API, or custom UI components.