What AI Summaries Include
Every AI-generated summary covers the following dimensions of the call:Key Discussion Points
A concise bulleted account of the main topics raised during the call, extracted from the transcript and grouped thematically so reviewers can scan the summary in seconds.
Proposed Action Items
Specific tasks, commitments, or follow-ups mentioned by either party — formatted as actionable to-do items ready to be assigned or logged in your CRM or ticketing system.
Sentiment Signals
A per-call sentiment classification — positive, neutral, or negative — derived from language patterns throughout the transcript. Useful for spotting trends in customer satisfaction over time.
Intent Classification
The detected purpose or intent of the call (e.g., billing inquiry, technical support, sales interest, complaint), helping you route follow-up tasks to the right team or workflow.
Escalation Alerts
Automatic flags raised when a call contains language or sentiment patterns that suggest the interaction may need immediate supervisor attention — such as expressed frustration, mentions of legal action, or unresolved complaints.
Summaries in Cowork Channels
You can configure TalkChief to post a formatted summary into a Cowork channel automatically after each qualifying call ends. This means your team sees the key points, action items, and any escalation flags in the channel they already work in — no switching between tools, no manual note-taking, no risk of follow-ups falling through the cracks. Each channel post includes the call metadata (date, time, agent, queue), the structured summary, sentiment classification, and a direct link to the full transcript. Team members can reply in-thread to discuss next steps, assign tasks, or acknowledge escalation alerts.Insights Dashboard
The Insights Dashboard gives you semantic search across all of your transcribed calls. Rather than filtering by date or agent alone, you can search using natural language — for example, “calls where the customer mentioned a refund” or “high-sentiment escalations in Q3” — and surface the exact conversations relevant to your query. Use the Insights Dashboard to:- Identify recurring topics or pain points across hundreds of calls
- Find specific calls by outcome, keyword, or sentiment without listening to recordings
- Spot patterns in escalation alerts to improve agent training or process design
- Pull targeted call sets for compliance review or quality assurance
Setting Up Summary Workflows
1
Ensure AI Transcription is enabled
AI Summaries are generated from call transcripts, so AI Transcription must be active for any queue you want to summarize. Confirm it is enabled before proceeding.
2
Go to AI Settings > Summaries
In your TalkChief dashboard, navigate to Settings > AI > Summaries. This is where you control which calls receive post-call summaries and how those summaries are delivered.
3
Enable post-call summaries for selected queues
Toggle on Post-call summaries and choose the queues or call types you want to cover. You can enable summaries globally or limit them to specific inbound queues, outbound campaigns, or call classifications.
4
Choose a Cowork channel to receive summaries
Under Delivery, select the Cowork channel where summary posts should appear after each call. You can configure different channels for different queues — for example, routing sales call summaries to your sales team channel and support summaries to your support channel.
5
Configure escalation alert thresholds
In the Escalation Alerts section, set the sensitivity level for escalation flags. A higher sensitivity will flag more calls for review; a lower sensitivity focuses alerts on the most severe signals. You can also designate a specific Cowork channel or individual to receive escalation notifications.
6
Review and act on summaries after each call
Once the workflow is live, summaries appear in your chosen Cowork channel within minutes of each call ending. Agents and supervisors should review the summary, confirm or correct action items, and respond to any escalation alerts promptly.