AI Copilot

AI that learns from your team,
not the internet.

Every suggestion is sourced from tickets your team already resolved. Fully attributable. Always editable. Never auto-sent.

61%
Suggestion acceptance at 5k tickets
90 min
Earlier pattern detection vs. manual
100%
Attribution — no black-box outputs
Suggestion engine

Every answer comes with a receipt.

Unlike generic AI, Keme shows exactly which resolved tickets produced the suggestion. Agents see the source, confidence level, and can inspect the original resolution before sending.

  • Editable draft renders in the reply field
  • Source tickets are one click away
  • Confidence score prevents low-signal suggestions from surfacing
  • Dismiss or accept — both are learning signals
AK
Account locked after update
Player #48291 · 4 minutes ago
AI
AI Copilot suggestion94% match
Hi there — I can see your account was locked after the 2.4.0 update. This is a known issue we're aware of. Here's the quickest fix: clear your game cache (Settings → Storage → Clear cache) and restart. Your progress is safe. If this doesn't resolve it, reply and I'll escalate directly to our tech team.
Based on 3 resolved tickets — view sources
Pattern alertsLive · updated 2m ago
Velocity spike detected
+340% above 7-day baseline
Emerging cluster
"Login fails after 2.4.1 patch" — 47 tickets
SLA risk elevated
12 tickets at-risk in next 90 minutes
Monitoring 1,847 active tickets Auto-refresh
Pattern Detection

See the crisis 90 minutes before your players do.

Issue clustering runs continuously on incoming ticket velocity. When similar tickets arrive faster than your baseline, a signal fires — typically 60–90 minutes before the issue becomes visible in volume metrics.

  • Sub-category velocity tracking per workspace
  • Configurable baseline thresholds
  • Alert routing to Slack, email, or in-app
  • Incident auto-tagging for reporting

How AI Copilot works

Four steps from ticket to suggestion to closed.

01

Ticket arrives

A new support request comes in through any channel. Keme immediately classifies, routes, and queues it while the AI layer scans your closed ticket history.

02

Suggestion generated

The AI finds the highest-confidence resolution from similar closed tickets. It renders an editable draft reply with the source tickets visible below.

03

Agent reviews and sends

The agent reads the suggestion, edits freely, and sends. Accept, modify, or dismiss — every choice is a training signal that improves future suggestions.

04

Model improves

Accepted and modified suggestions are weighted more heavily in future matches. By 5,000 resolved tickets, acceptance rates typically exceed 60%.

Everything included

No add-ons. Full AI Copilot is available on Growth and Scale plans.

Response suggestions sourced from your own closed tickets
Confidence score and source attribution on every suggestion
Real-time issue pattern detection with velocity-based alerting
Escalation probability and SLA breach risk signals
Agent-controlled — no suggestion is ever auto-sent
Full AI output audit log with accept/reject tracking
Per-workspace model isolation — zero cross-tenant data use
Model improves continuously as your team closes tickets
K

Ready to let AI handle the repetitive work?

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