Product updates ·
Gorgias reorganizes support analytics with AI and human comparisons
The October 13 update combines 14 reports into three and compares AI Agent with human support. The agent-type chart split excludes Auto-QA scores.
The industry, in context
What changed. What the sources say. Why it matters for your customer service team.
News feed (RSS, English)Product updates ·
The October 13 update combines 14 reports into three and compares AI Agent with human support. The agent-type chart split excludes Auto-QA scores.
Product updates ·
The October 12 release keeps immediate closure as the default, but lets teams retain an Agent Copilot session for a configured period after a human resolves the conversation.
Product updates ·
The October 12 release notes add knowledge-tool dependencies and input checks. Configuration documentation shows why collecting a variable and validating its value are different steps; availability follows a regional rollout.
Product updates ·
The announcement connects retained customer facts with next-action recommendations. Support teams should evaluate who can retrieve that memory, how it changes and when selling is appropriate as separate decisions.
Product updates ·
The composite score puts conversation experience ahead of efficiency. A capped rating records a detected problem; it does not establish that the agent prevented it.
Product updates ·
The assistant can investigate support conversations and prepare fixes. Publishing a draft stays manual, but Auto-approve can allow other changes to reach live callers without another prompt.
Integrations ·
New setups can avoid sharing long-lived AWS keys. Recording which queue received a chat remains a separate, optional step.
Product updates ·
The Artemis optimization engine can apply fixes automatically or leave approval to people. Support teams still need to define the policies their tests must protect.
Industry ·
The proposed combination links customer conversations with business-process automation. The deal announcement does not establish when customers could deploy a combined service.
Product updates ·
One supervisor can oversee up to four AI calls, Sanas says. That capacity claim leaves an operational question: what happens when several calls need a person at once?
Product updates ·
Experts review the tests before use. The announced A/B comparison runs agent versions against matching scenarios; it is not evidence of better live customer outcomes.
Product updates ·
Sierra says fleming-1 can flag likely AI callers for its voice agents. The company decides how to respond; the announcement provides no numerical error rates.
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