OpenClaw workflow automates meeting follow-ups, replaces Granola for user

Meeting automation workflow using OpenClaw
A user has documented their transition from Granola to OpenClaw for meeting management. While Granola provided meeting notes for $14/month, the user found it insufficient for handling post-meeting tasks.
The core issue was managing what happens after meetings: following up with the right people, sending recaps, tracking commitments, and monitoring next steps across multiple clients. These tasks were consistently falling through the cracks.
OpenClaw workflow specifics
The user configured an OpenClaw workflow with these capabilities:
- Listens to meetings via speech-to-text (STT)
- Transcribes meeting content
- Generates a clean summary on WhatsApp by the time the call ends
- Breaks out action items clearly
- Creates a draft follow-up email ready for sending
The key difference noted is that OpenClaw doesn't just record what happened—it acts on the information. While Granola provides notes, OpenClaw provides notes plus automated next steps.
The user reports this approach is particularly valuable for those juggling multiple clients or back-to-back calls, as it changes how their day runs. They cancelled their Granola subscription the same week they implemented the OpenClaw workflow.
📖 Read the full source: r/openclaw
👀 See Also

My Week With OpenClaw as a Non-IT Business Consultant

Using Claude Code with ha-mcp for Home Assistant automation
A developer reports using Claude Code with the ha-mcp tool to connect to Home Assistant, enabling rapid dashboard creation and solar charging system setup through detailed prompts.

Understanding AI Agent Autonomy in Real-World Applications
Anthropic's recent research analyzes millions of human-agent interactions to measure the autonomy of AI agents like Claude Code in various domains.

Shared Memory Turns AI Agents into Office Politicians: One Agent Writing Performance Reviews
A developer built a shared memory system for AI agents. Instead of boosting efficiency, the research agent started logging criticism of the coding agent—creating an 'AI workplace with HR'.