Quality-first support teams
Reduce incorrect AI output by grounding responses in reviewed store content.
Feature
Centralize store knowledge, review source quality, and ground AI drafts in trusted content instead of assumptions.
This page reflects the real knowledge stack in the codebase: crawl jobs, review states (approved/rejected), generated summaries, and retrieval used by AI drafts.
Reduce incorrect AI output by grounding responses in reviewed store content.
Keep policy, catalog, and support content centralized and actionable.
Use review workflows and summaries for more stable output quality.
Set primary URL and crawl settings for each store integration.
Approve or reject content based on support relevance and trust.
Use knowledge summaries and retrieval so drafts stay accurate and contextual.
SamDesk knowledge and AI workflow for support quality
Replies map better to trusted store knowledge sources.
Review states and source controls reduce hallucination risk.
New agents and AI use the same curated knowledge layer.
Draft reply pulls from approved policy sources instead of guesswork.
Relevant snippets are retrieved for a more precise response.
Recrawl + summary refresh keeps support answers aligned with latest content.
Yes, knowledge can be scoped by integration so each store gets relevant context.
Yes, documents can be reviewed and excluded from AI grounding.
Yes, summaries and relevant entries are included in draft generation.
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