Alterfy

Analyzes participant calendars, timezones, and availability to automatically suggest optimal meeting times. Reduces scheduling friction by eliminating back-and-forth email coordination and accounting for timezone complexity across distributed teams.

Dynamically prioritizes meeting agenda items based on participant expertise, available time, and discussion importance. Suggests discussion order and time allocation to maximize productive use of meeting time.

Automatically identifies and extracts action items from meeting discussions in real-time, assigns owners, and tracks completion status. Converts unstructured meeting conversations into structured follow-up tasks.

Automatically records and transcribes meeting conversations with speaker identification. Provides searchable, timestamped records of meeting discussions for future reference and compliance.

Builds profiles of participant expertise, skills, and meeting history to inform better meeting composition and agenda prioritization. Learns who should be in meetings based on topic relevance.

Analyzes meeting patterns to identify over-scheduling, back-to-back meetings, and meeting fatigue across teams. Provides insights and recommendations to reduce unproductive meeting load.

Syncs with email and calendar systems to pull meeting context, participant information, and scheduling data. Enables seamless data flow between communication and scheduling tools.

Collects and stores pre-meeting context such as agenda items, objectives, and background documents. Ensures meeting AI has sufficient context to make intelligent recommendations and extract meaningful insights.

Provides free tier access with core features to enable individual adoption without requiring organizational budget approval. Allows users to experience value before committing to paid plans.