Measure AI like a team, not a black box
Automation rate, resolution time, CSAT, and revenue attribution for AI and humans in one place.
AI handled
87%
CSAT
4.8
First reply
28s
Revenue
₹4.2L
Automation rate
How much AI resolves on its own, by channel, team, and use case.
Revenue attribution
Campaigns, recoveries, and winbacks measured in money, not opens.
AI and human performance
Resolution time, CSAT, and QA scores for agents and people in one view.
See what the AI actually resolves
Automation rate by channel, team, and use case, updated live. You always know where the agent carries the load and where the next point of automation is hiding.
- Resolved means zero human touch, not deflected
- Drill from a weekly number to the individual tickets
- Spot the use cases worth promoting to autonomous
Automation rate · this week
- WhatsApp89%
- Email81%
- Instagram74%
Campaigns report in revenue
Every campaign and recovery flow closes its own loop: orders matched, revenue attributed, report delivered where your team already reads. No spreadsheet stitching at month end.
- Order-level attribution, not click-through proxies
- Recovered carts and winbacks counted the same way
- Reports land in Slack and email on your schedule
- 486 orders matched to the campaign
- ₹9.4L revenue attributed
- Report shared to #growth
AI and humans graded on one scale
CSAT and QA scores cover every reply, whoever wrote it. Same rubric, same dashboard, so quality conversations are about the work, not about whose tool produced the number.
Quality · last 30 days
- SageCSAT 4.8 · QA 96
- Support teamCSAT 4.7 · QA 94
Common questions
Can we get the data out?
Yes. Every metric is available over the API, and warehouse sync pushes raw events to your own stack on a schedule, so your BI team builds on the same numbers the dashboard shows.
How is automation rate counted?
Strictly: a conversation counts as automated only when the agent resolved it with no human touch. Escalations, handoffs, and human-edited drafts all count against it, so the number you report is real.
Can we measure against our pre-AI baseline?
Yes. History imports bring your past tickets and response times in, so first-response, resolution, and CSAT trends show a clean before-and-after from day one.
Does QA cover human replies too?
Yes. The same rubric scores AI and human responses, which gives you one quality bar across the team and surfaces coaching moments you'd otherwise sample-check for.
The rest of the OS
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