AI KnowledgeOps

Continuously turn conversations and content into living knowledge for trustworthy AI.

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What is AI KnowledgeOps?

AI KnowledgeOps is the ongoing work of keeping enterprise knowledge accurate and governed so AI can give answers and take actions people can trust. It starts with what customers are asking, checks that against what the organization knows, closes the gaps, and tests the result. Then it delivers that knowledge across every AI agent and channel, learns from what happens, and starts again.

Confident Isn’t the Same as Correct

AI makes it easy to produce answers that sound confident whether or not they’re right, and wrong answers mean bad experiences, higher costs, and compliance risk. In eGain’s work with banks, insurers, and healthcare companies, about 20 percent of a knowledge base typically delivers 80 percent of its value, and that content is often buried under duplicates and outdated articles.

AI KnowledgeOps does for knowledge what DevOps did for software.

The AI KnowledgeOps Process

1. Conversations and content

AI KnowledgeOps starts with the conversations and content that organizations already produce every day, from what customers say in every channel to what the organization knows across its silos.

Find what customers are asking in every channel, then cluster and rank each question by frequency and value and check it against existing content.

How eGain helps

Integrated with eGain AI Knowledge Hub, WYCA (What Your Customers Ask) analyzes customer conversations to uncover what’s important. Dozens of prebuilt eGain AI Knowledge Connectors bring content from CRM, CCaaS, and UCaaS platforms with no exporting or reformatting.

Score existing knowledge for consistency, correctness, compliance, and consumability, meaning whether answers match across channels, match the source of truth, meet policy, and are structured for AI to use.

How eGain helps

Knowledge Intelligence in AI Knowledge Hub runs these checks on every article and flags duplicates, conflicts, stale content, and regulatory impact. Teams can update many articles at once with generative AI, and eGain’s AI Content Readiness Assessment shows which ones need restructuring.

Focus first on the roughly 20 percent of knowledge that drives about 80 percent of conversation volume and value, then build toward full coverage in stages.

How eGain helps

Knowledge Orchestration in AI Knowledge Hub scores each question as fully, partially, or not answered and ranks the gaps by volume, value, and complexity.

Tag content by product, customer type, channel, journey stage, compliance scope, and entitlement so retrieval finds the right answer for each customer, with legal review, guardrails, and audit evidence built in.

How eGain helps

AI Knowledge Hub tags articles automatically, routes sensitive content through legal review, and keeps a time-stamped record of every version. Product catalogs, promotions, and other facts that never become articles can live in eGain’s Knowledge Graphs as connected records.

Test every question against its verified answer, find what caused any miss, and refine until answers meet the standard, including staged articles before they go live.

How eGain helps

eGain Evaluator benchmarks AI answers against real, human-verified questions, shows whether a miss came from content or retrieval, and reruns the test until answers are satisfactory.

Coordinate multiple AI agents on multistep requests across systems, all drawing from the same governed knowledge, with a human in the loop where it matters.

How eGain helps

eGain Agentic Studio turns process documents into agent workflows without code. eGain Composer lets teams build custom AI apps on the same knowledge and compliance rules through open LLM integration, A2A support, and retrieval APIs.

Deliver personalized, cited answers in every channel from one knowledge source, so a single update changes the answer everywhere.

How eGain helps

eGain AI Agent for self-service and eGain Conversation Hub for contact center staff draw from the same knowledge, and eGain’s Trusted Knowledge Network cites over 100 industry sources when external trusted content is needed.

Track whether each answer was used, correct, and resolved the conversation, alongside metrics like containment and CSAT.

How eGain helps

eGain Analytics Hub shows where AI and teams are resolving questions and where they fall short, answers plain language questions, and flags new gaps to feed back into demand capture.

Customer Success with AI KnowledgeOps

97%

lower customer
interaction costs

25,000

hours saved per
year

80%

self-service resolution
success

6x

faster customer
resolution

AI KnowledgeOps for Your Industry

See how eGain powers AI KnowledgeOps for Retail Banking and Healthcare
Healthcare

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