Unlock AI-Driven Knowledge Management
As contact centers adopt generative AI, traditional knowledge bases fall short. Designed for human readers, they lack the structure, metadata, and governance needed to support real-time AI guidance and automated customer interactions.
LLMs don’t read; they ingest. If your knowledge isn't designed for AI, your agents and customers won’t get the right answers at the right time.
In this whitepaper, Cresta outlines a blueprint for transforming your knowledge base into an AI-ready foundation: structured for machines, trusted by humans, and optimized for business performance.
You’ll Learn:
- How to structure KB content for real-time LLM retrieval and generative accuracy
- The role of metadata, taxonomy, and semantic alignment in AI search
- How to operationalize governance to prevent outdated answers at scale
Download the whitepaper now and start building your AI-native knowledge infrastructure.
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Cresta Launches Automated AI Agent Testing: Closing the Trust Gap in Enterprise AI
With the launch of its Automated AI Agent Testing suite, the company introduces a way to use AI to test AI, giving enterprises the assurance that every AI agent released is accurate, compliant, and production-ready.
Introducing Cresta's Automated AI Agent Testing suite
Trust in AI isn’t assumed, it’s earned through comprehensive, disciplined testing. Cresta’s Automated AI Agent Testing suite validates every release with expert-aligned LLM judges, simulated customers that uncover edge cases, and in-product feedback loops that turn conversation reviews into safeguards. The result: safer, faster deployments you can trust.
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