Through Retrieval Augmented Generation (RAG), ServiceAI can access and learn from your actual business data in real-time.
We embed your real-world data (support tickets, articles, solved problems, knowledge base) into vector databases.
When a question is asked, AI retrieves relevant chunks of your content and uses that to craft precise responses.
Tickets are clear windows into your service delivery
They show if the problem was solved, how well an agent followed your processes, and capture user sentiment and satisfaction in context.
Articles are structured, reusable knowledge
They distill expertise into reliable playbooks and are curated to prevent future issues.
Knowledge base articles are the gold standard of AI response content.
History repeats, and new tickets are often slight variations of past ones.
AI can:
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Suggest great agent responses
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Or better—handle common queries directly in your branded chat experience
This reduces workloads and boosts user satisfaction at scale.
