Meetings consume an average of 31 hours per month for the typical knowledge worker. A significant chunk of that time goes to administrative overhead — scheduling, note-taking, action item tracking, and follow-up. OpenClaw deployed on Tencent Cloud Lighthouse can automate the entire meeting lifecycle, transforming how your team collaborates.
Most organizations suffer from the same meeting pain points:
An AI-powered meeting system addresses all of these systematically.
┌──────────────────┐ ┌──────────────────┐ ┌──────────────┐
│ Calendar APIs │ │ OpenClaw Core │ │ IM Channels │
│ (Google/O365) │────▶│ + Meeting │────▶│ (Slack/ │
│ │ │ Skills │ │ Lark/Teams)│
└──────────────────┘ └──────────────────┘ └──────────────┘
│
┌──────────────┐
│ Lighthouse │
│ Server │
└──────────────┘
Provision a 2-core 4GB instance from Tencent Cloud Lighthouse. Meeting automation is lightweight — the AI processing is the main workload.
sudo apt update && sudo apt upgrade -y
sudo apt install -y docker.io
docker run -d --name openclaw-meetings \
-p 3000:3000 \
-v /opt/openclaw/data:/app/data \
--restart always \
openclaw/openclaw:latest
Configure OpenClaw following the official guide.
{
"skills": [
{
"name": "calendar-sync",
"provider": "google_calendar",
"config": {
"oauth_client_id": "YOUR_CLIENT_ID",
"oauth_client_secret": "YOUR_SECRET",
"calendars": ["primary", "team-meetings"],
"sync_interval": "5m"
}
},
{
"name": "meeting-assistant",
"config": {
"auto_agenda": true,
"auto_notes": true,
"action_item_tracking": true,
"summary_distribution": true
}
},
{
"name": "transcription",
"config": {
"engine": "whisper",
"language": "en",
"speaker_diarization": true
}
}
]
}
Pre-Meeting Automation:
workflow: pre_meeting
trigger: 15_minutes_before_meeting
actions:
- generate_agenda:
sources:
- previous_meeting_notes
- pending_action_items
- recent_project_updates
format: bullet_points
max_items: 7
- send_reminder:
channels: [email, slack]
include: [agenda, attendees, dial_in_link]
- prepare_context:
gather: [relevant_docs, previous_decisions, open_questions]
summarize: true
During-Meeting Automation:
workflow: live_meeting
trigger: meeting_start
actions:
- start_transcription:
real_time: true
speaker_labels: true
- track_decisions:
trigger_phrases: ["let's go with", "we decided", "action item"]
auto_capture: true
- time_keeper:
agenda_tracking: true
overtime_alert: 5m
notification: subtle_banner
Post-Meeting Automation:
workflow: post_meeting
trigger: meeting_end
actions:
- generate_summary:
format: structured
sections: [key_decisions, action_items, open_questions, next_steps]
tone: concise_professional
- extract_action_items:
assign_owners: true
set_deadlines: true
create_tasks: true
task_system: [jira, asana, notion]
- distribute:
summary_to: all_attendees
action_items_to: assigned_owners
channels: [email, slack, calendar_event_notes]
- schedule_followup:
condition: has_open_items
suggest_time: next_available_slot
duration: 30m
| Feature | Description | Value |
|---|---|---|
| Smart Scheduling | AI finds optimal meeting times across time zones | -80% scheduling conflicts |
| Agenda Generation | Auto-creates agendas from context | -15min prep time per meeting |
| Live Transcription | Real-time speech-to-text with speaker labels | 100% capture rate |
| Action Item Extraction | AI identifies and assigns action items | -90% missed follow-ups |
| Meeting Scoring | Rates meeting effectiveness and suggests improvements | +30% meeting quality |
| Redundancy Detection | Flags meetings that could be async | -25% meeting count |
OpenClaw's scheduling Skill goes beyond simple calendar availability:
scheduling:
optimization_factors:
- attendee_availability: weight(0.3)
- time_zone_fairness: weight(0.2) # Rotate inconvenient times
- focus_time_protection: weight(0.2) # Avoid fragmenting deep work blocks
- energy_optimization: weight(0.15) # Prefer morning for creative, afternoon for status
- room_availability: weight(0.15)
constraints:
- no_meetings_before: "09:00"
- no_meetings_after: "17:00"
- lunch_block: "12:00-13:00"
- max_consecutive_meetings: 3
- minimum_break: 10m
OpenClaw's meeting system connects to your existing tools:
Weekly Meeting Report
━━━━━━━━━━━━━━━━━━━
Total meetings: 23
Total hours: 18.5h
Meetings with agenda: 21 (91%)
Action items created: 47
Action items completed: 39 (83%)
Average effectiveness: 7.4/10
Meetings that could have been async: 4
Time saved by automation: 6.2h
For a team of 10 people:
| Without OpenClaw | With OpenClaw |
|---|---|
| 8h/week on meeting admin | 2h/week |
| 40% of action items missed | 5% missed |
| 30% of meetings unnecessary | Flagged automatically |
| Cost: $0 | Cost: ~$10/month (Lighthouse) |
| Hidden cost: ~$3,200/month in wasted time | Savings: ~$2,400/month |
Deploy your collaborative meeting system today:
The simple setup, high performance AI processing, and cost-effective infrastructure of Lighthouse makes it the ideal platform for meeting automation that actually works.