

Ashera is an AI-powered platform that automates meeting-based workflows by joining your meetings, taking notes, generating reports, and automatically syncing all outputs to your CRM, Jira, and other tools. It processes and analyzes meeting data to integrate it directly into your workflows.
Key features include automatic audio recording, live transcript generation, speaker identification, smart summaries, sentiment analysis, action item extraction, CRM updates, task creation, and document archiving. Ashera also provides real-time meeting briefs with contact history and deal context, plus post-meeting chat functionality to ask questions about what was discussed.
The system works by using your Google account to access Google Calendar and detect meetings to join. During meetings, it silently records conversations and creates transcripts. After meetings, AI analyzes the content to generate summaries, identify decisions, and list action items. All outputs are automatically synchronized to connected systems.
Benefits include turning every meeting into actionable data, preventing lost notes and forgotten action items, and providing searchable meeting archives. Use cases include sales call analysis, customer meeting follow-ups, technical meeting documentation, and performance tracking across multiple meetings.
Target users include sales teams, professionals needing meeting automation, and enterprises requiring workflow integration. The platform integrates with Google Meet, Zoom, Gmail, Outlook, Salesforce, HubSpot, Jira, Notion, Asana, and Google Drive, with additional integrations coming soon.
admin
Ashera is designed for sales teams needing GTM call analysis, professionals requiring meeting automation, and enterprises seeking workflow integration. The platform serves organizations that want to turn meetings into actionable data by automatically syncing outcomes to CRM systems, project management tools, and other business applications. It's particularly valuable for teams dealing with customer interactions, project coordination, and data-driven decision making based on meeting discussions.