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Reports

Team and AI agent reports

Compare AI agents and teammates on resolution, handoffs, draft approvals, workload, CSAT and the revenue each side closes.

The Team and agents tab of Reports puts your AI agents and your people side by side: how much each handles, how often agents finish the job or hand off and why, how customers rate both, and who closes the revenue. Use it to decide where an agent needs better knowledge or rules, and where your team needs more hands.

  • Who can use it: Everyone in the workspace can open this report. Downloading a chart or its data needs Export reports (owners and admins by default); see Tables and exports.
  • Before you start: At least one AI agent working on your conversations. To pick dates and read the headline numbers, see Reports.

Open the Team and agents report

Go to the Team and agents tab

In the sidebar, click Reports, then the Team and agents tab. Set the dates with the date button at the top right.

The Team and agents tab: six key numbers from Handled by AI agents 9,220 to Drafts approved 92%, and the AI agent performance chart with a bar per agent split into Resolved end to end and Handed off to a person

Key numberWhat it counts
Handled by AI agentsConversations an AI agent picked up in the range
AI resolution rateOf those, the share an agent resolved without handing off
Handoff rateThe share an agent handed to a person. Lower is better.
CSAT, AI agentsThe share of post-conversation survey answers rating 4 or 5 out of 5, for conversations an AI agent handled
CSAT, your teamThe same for conversations your teammates handled
Drafts approvedThe share of agent drafts that went out, as written or after edits

Read the AI agent charts

ChartWhat it showsHow to read it
AI agent performanceA bar per AI agent, busiest first: every conversation it picked up, split into Resolved end to end and Handed off to a personA long light part means the agent hands off a lot. The table adds each agent's resolution rate, CSAT, average handle time and Revenue influenced.
AI resolution rate over timeAll AI agents together, per period: resolved conversations divided by handled ones, against a 70% targetPoints under the dashed line fell short; the summary counts how many periods did. The table adds the three busiest agents' own rates.
Why agents hand offHandoffs to a person by reason: Pricing needs approval, Question too complex, Asked for a person, Low confidence, Upset customer and Policy guardrailThe longest bar is the first thing to fix, for example by adding knowledge sources or adjusting guardrails. The table adds each reason's share.
Draft approvalsA bar per AI agent: replies it drafted for a person to review, split into Approved as is, Edited before sending and RejectedA large red part means the agent's drafts often miss; the summary names the agent with the highest rejection rate. The table adds drafts reviewed and the share approved.

The Why agents hand off chart, 2,695 handoffs: Pricing needs approval 726, Question too complex 588, Asked for a person 489, Low confidence 364, Upset customer 269, Policy guardrail 259

The Draft approvals chart, 2,451 drafts: a bar per agent split into Approved as is, Edited before sending and Rejected, Closer Agent the longest at 995

Drafts come from agents that ask for approval before sending; you review them in the approval queue.

Read the team charts

ChartWhat it showsHow to read it
Teammate performanceA bar per teammate, busiest first: conversations assigned to them, split into Resolved and Still openThe summary names who replies fastest. The table adds each teammate's median first response, CSAT, average handle time and Revenue closed.
Workload by teammateA grid of teammates by period: conversations assigned in each periodDarker cells are busier periods; teammates are listed busiest first. Uneven rows show who carries the load.
CSAT: AI agents vs your teamTwo lines per period: the share of survey answers rating 4 or 5 out of 5, for AI agents and Your teamThe summary gives each side's overall CSAT and the gap between them.
Handle time vs CSAT by teammateA dot per teammate: average handle time across, CSAT upUp and to the left is quick and well rated; down and to the right is slow and less well rated.
Revenue closed: AI agents vs your teamRevenue per period, stacked by who closed the sale: AI agents and Your teamThe summary gives each side's total and the AI agents' share.

The Workload by teammate heatmap: Lena Ortiz, Priya Raman, Sam Okafor, Ines Moreau, Kenji Sato and Rafael Lima down the side, days across, darker cells for busier days

Point at a dot on Handle time vs CSAT by teammate to see that teammate's average handle time, CSAT and resolved conversations.

The Handle time vs CSAT by teammate chart with the pointer on Lena: a tooltip reading Lena Ortiz, Avg handle time 10.8 min, CSAT 92%, Resolved 567

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