What is Generative AI for Support?
Using large language models and generative AI technology to create natural, helpful customer service responses.
Generative AI for support refers to using large language models (LLMs) and generative AI technology to create natural, contextual responses for customer service. Unlike scripted responses, generative AI creates unique answers tailored to each inquiry.
How Generative AI Differs
- Traditional: Select from pre-written responses
- Generative: Create new responses for each question
Key Capabilities
- Natural language: Responses feel human and conversational
- Contextual: Considers full conversation history
- Synthesizing: Combines information from multiple sources
- Adaptive: Adjusts tone and style to context
- Creative: Handles novel questions without templates
Applications in Support
- Direct answers: Responding to customer questions
- Agent assist: Drafting responses for human review
- Summarization: Condensing long conversations
- Knowledge creation: Generating help content
- Translation: Multi-language support
Enterprise Challenges
Raw generative AI has limitations for support:
- Hallucination: May generate incorrect information
- Knowledge gaps: LLMs do not know your specific products
- Compliance: May not follow brand guidelines
- Actions: Cannot take actions in your systems
Enterprise-Ready Generative AI
Production deployments require:
- Grounding: Responses based on your actual content (RAG)
- Guardrails: Preventing off-topic or harmful outputs
- Integration: Connection to business systems for actions
- Compliance: Meeting security and regulatory requirements
- Monitoring: Tracking quality and accuracy
Generative AI Results
When properly implemented:
- Resolution rates: 80-93%
- Accuracy: 85-95% with proper grounding
- Customer satisfaction: Often higher than human-only
Maven AGI Difference: We harness generative AI power while solving enterprise challenges. Our Knowledge Graph grounds responses in your content. Our integrations enable real actions. Our compliance meets enterprise standards. The result: generative AI that actually works in production.
Book a demo to see enterprise generative AI.
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