Resolve support inquiries from knowledge base
Resolve customer inquiries faster with an AI agent that combines internal knowledge and web research for consistent, escalation-free support.
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An AI agent that receives customer inquiries from [chatbot/live chat platform] and dynamically determines the best way to resolve them - querying [internal knowledge base] to find relevant documentation, and intelligently deciding when the available knowledge is insufficient and a search via [web search tool/API] is needed to enrich its response. The agent adapts its research approach based on the nature and complexity of each inquiry rather than following a fixed lookup sequence.
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Problem
Customer support teams spend significant time manually searching internal knowledge bases to answer repetitive inquiries. When documentation is incomplete or outdated, agents must perform their own research or escalate tickets unnecessarily, leading to slow response times and inconsistent answers across the team.
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Solution
An AI agent that receives customer inquiries from your chatbot and dynamically determines the best way to resolve them - querying the internal knowledge base to find relevant documentation, and intelligently deciding when the available knowledge is insufficient and a web search is needed to enrich its response. The agent adapts its research approach based on the nature and complexity of each inquiry rather than following a fixed lookup sequence.
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Impact
Customer inquiries are resolved faster and more consistently by an agent that draws from both internal knowledge and the broader web, reducing the manual research burden on support teams and enabling more inquiries to be answered without escalation.
Benefits
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Faster inquiry resolution
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Reduced manual research
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Consistent accurate responses
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Lower escalation rates
Solutions
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
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