Ask your data
in plain English.
Stop digging through dashboards. Type a question like "How many agents were online during peak hours today?" and get instant answers with metrics, charts, and AI-generated insights.
Built into every operator console · No setup required · Powered by GPT-5.4
CHAT Beacon AI — Operator Assistant
Operator Conversation
Today's Agent Performance Summary:
You had 12 agents online today. Average response time was 45 seconds (down from 50s yesterday). Your team handled 347 chats with a 95% CSAT rating. Peak load was between 10am-12pm with 8 concurrent agents.
You had 12 agents online today. Average response time was 45 seconds (down from 50s yesterday). Your team handled 347 chats with a 95% CSAT rating. Peak load was between 10am-12pm with 8 concurrent agents.
Week-over-week comparison:
Total chats are up 12% (347 vs 310). First response time improved 10% (45s vs 50s). CSAT score steady at 95%. Your busiest day shifted from Tuesday to Wednesday. AI auto-resolution rate climbed to 72% from 68%.
Total chats are up 12% (347 vs 310). First response time improved 10% (45s vs 50s). CSAT score steady at 95%. Your busiest day shifted from Tuesday to Wednesday. AI auto-resolution rate climbed to 72% from 68%.
Ask about your metrics...
Peak hours today?
Top performing agent?
Avg wait time trend
Resolution rate by dept
📊 AI-Generated Response
Week-over-Week Performance
March 17-21 vs March 10-14, 2026
347
Total Chats
↑ 12%
45s
Avg Response
↑ 10%
95%
CSAT Score
— 0%
72%
AI Resolved
↑ 4%
Chats by Day
Mon
58
Tue
65
Wed
86
Thu
74
Fri
64
🧠 AI Insight
Your team improved this week. Average first response time dropped 10%, driven by the AI auto-resolution rate climbing to 72%. Wednesday was your busiest day with 86 chats — consider adding a 4th agent to the midday shift. CSAT held steady at 95% despite higher volume, indicating your team scaled well.
How ChatBeacon Works
The agent dashboard your team
actually wants to use.
Real-time visitor cards, AI-suggested responses, co-browse with one click, light and dark mode — everything in one clean workspace.
"How many agents were online during peak hours today?"
8 agents were online during peak hours (10am-12pm). Your max concurrent chats hit 24 at 11:15am. Average wait time during peak was 22 seconds.
8
Peak Agents
24
Max Chats
22s
Wait Time
"What's our average chat resolution time this week vs last?"
Average resolution time this week is 4m 12s, down from 4m 45s last week — a 12% improvement. AI-handled chats average 1m 30s. Agent-handled chats average 6m 48s.
4:12
This Week
4:45
Last Week
↑12%
Improvement
"Which agent had the highest CSAT score this month?"
Sarah R. leads with a 98% CSAT score across 412 chats this month. Followed by Mike T. (96%, 387 chats) and Lisa K. (95%, 356 chats). Sarah's average response time of 28s is also the team's fastest.
98%
Top CSAT
412
Chats
28s
Avg Response
"Compare this month's performance to last month"
Total chats up 18% (1,247 vs 1,058). CSAT improved from 93% to 95%. First response time dropped from 52s to 45s. AI resolution rate jumped from 65% to 72%. Your team handled the volume increase with the same headcount — AI absorbed the growth.
↑18%
Chat Volume
↑2%
CSAT
↑7%
AI Resolution
What You Can Ask
Every metric, available on demand.
👥
Aria — AI Chatbot
Who's online, how many agents worked today, availability during peak hours, shift coverage gaps.
"How many agents were online at 3pm?"
⏱️
Response & Resolution Time
First response time, average handle time, resolution time by agent, department, or AI vs human.
"What's our avg response time this week?"
⭐
Customer Satisfaction
CSAT scores by agent, department, time period. Trend analysis and comparisons across any range.
"Who had the highest CSAT this month?"
🤖
AI Resolution Rate
What percentage AI resolved, handoff rate, topics AI struggles with, auto-resolution trends.
"What % did AI resolve last week?"
📈
Volume & Trends
Chat volume by hour, day, week, month. Peak detection, seasonal patterns, year-over-year growth.
"Compare this month to last month"
🏢
Department Performance
Breakdown by department, queue, team. Cross-department comparisons with context.
"Which dept has the fastest response?"
How It Works
From question to insight in seconds.
1
You Ask a Question
Type any question in natural language — about agents, chats, CSAT, resolution time, volume, anything.
2
AI Queries Your Data
GPT-5.4 translates your question into a database query, pulls the right metrics, and crunches the numbers.
3
Generates a Narrative
Instead of raw numbers, you get a written summary with context: "Your team improved 10% because..."
4
Visualizes the Data
KPI cards, bar charts, trend lines, and comparisons — all generated instantly alongside the narrative.
What Makes It Different
Not dashboards. Conversations.
Traditional analytics tools make you click through filters and dropdowns. The AI Operator Assistant lets you talk to your data like a colleague. Ask follow-up questions. Drill deeper. Get context, not just charts.
💬
Conversational
Ask follow-up questions. "Break that down by agent." "Show me just mornings." The AI remembers context.
📖
Narrative + Numbers
Every response includes a written summary explaining what the data means — not just what it says.
🎯
Actionable Insights
AI doesn't just report — it recommends. "Consider adding an agent to the Wednesday midday shift."
See It For Yourself
Ready to talk to your data?
The AI Operator Assistant is built into every ChatBeacon operator console. We'll show you a live demo with real metrics on the call.
Built into every plan · No additional cost · No setup required
AI-powered live chat and chatbot platform. Built in the USA. Trusted since 2005. Cloud or on-premise deployment.
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