What is Read AI?
Read AI is an AI meeting assistant that also reaches into workplace search. It can join Zoom, Google Meet, and Microsoft Teams, capture from desktop or mobile, and produce a meeting report containing a summary, topics, action items, key questions, transcript, and coaching signals. Ask Read can connect meetings with permitted email, messages, and other sources.
The product therefore serves two related needs: documenting a call and making work history queryable later. This is valuable when decisions are spread across meetings and communication tools. It also makes permission inheritance important; an answer should never expose a meeting the requester could not open directly.
Meeting reports and capture options
Read Assistant can join supported calls as a participant. Desktop and mobile applications provide additional ways to capture online and in-person conversations. The product advertises real-time notes and metrics, meeting summaries, transcripts, action items, playback on eligible plans, video highlights, and file uploads.
The meeting coach analyzes behaviors such as speaking speed, filler words, bias, charisma, timeliness, and engagement. These labels can prompt useful self-reflection, but they are model outputs influenced by audio quality, language, culture, role, and meeting format. Do not use them as an automatic employee evaluation or hiring signal.
Read supports multiple languages, but the live plan page and specific features can list different counts. Test the exact language, code-switching, names, and technical vocabulary your team uses. Verify the transcript before accepting a summary or action.
Search, integrations, and recommendations
Ask Read searches permitted meetings, emails, messages, and other integrated sources. Premium integrations include tools such as Notion, Salesforce, HubSpot, Jira, Confluence, Zapier, and webhooks. Read also provides topic readouts, recommendations, and meeting-policy insights.
These capabilities can reduce information silos, but every connector extends the data boundary. Confirm OAuth scopes, indexed content, refresh behavior, user removal, and permission synchronization. Test a user who can see one project but not another. Verify that revoking a source removes it from future answers and any cached index.
Treat generated recommendations as hypotheses. A suggestion to remove attendees, shorten a meeting, or change cadence should be evaluated against work ownership and accessibility needs, not accepted because an engagement score is low.
Consent and report distribution
Read says its bot identifies itself and notifies attendees. Desktop and mobile capture remind the host to solicit consent. The host can choose automatic report sharing or keep the result private. Product notice is useful, but a team should still add invitation language, make an announcement, and provide an opt-out path.
Test who receives the full report, transcript, playback, and later email. Calendar attendees can include optional guests, distribution lists, or external addresses that should not see the content. Establish a private default and require intentional sharing for sensitive meetings.
Privacy, training, and retention
Read's June 2026 data-handling guide says meeting data stays in the user's account and is available only to people explicitly given access. It says Read does not sell meeting data or share meeting content with other companies.
The same guide says meetings are not used to train Read's AI without explicit opt-in. It describes a Customer Experience Improvement Program whose default is opt-out and says roughly 10–15 percent of users choose to join. Verify this setting at the account and workspace level rather than relying on a launch-era default.
Read states that personalization derived from meetings remains within the account, is not combined with other customers' data, and is deleted with the account. It also lets users stop retaining audio and video after the processing needed to create a report. The transcript, summary, action items, and personalization remain separate data artifacts.
Users can delete individual reports or their account. Organization retention can automatically delete reports after a configured number of days, but the live plan table places custom retention in Enterprise+. By default, reports may remain while the account is active. Data is hosted encrypted in AWS us-east-1 unless a qualifying customer arranges another location.
Plans and pricing
The official Read AI pricing page lists Free, Pro, Enterprise, and Enterprise+. Free provides five meetings per month with a one-hour maximum. Pro currently costs $15 per user per month billed annually and adds unlimited reports, four-hour meetings, file-upload credits, and premium integrations, but not audio or video playback.
Enterprise currently costs $22.50 per user per month annually and adds playback, highlights, more uploads, and priority support. Enterprise+ requires at least five licenses and adds SAML, SCIM, domain capture, custom retention, HIPAA enablement, and onboarding. Verify current prices and plan naming, because “Enterprise” here is also marketed to individuals and does not include every large-organization control.
Who should choose it?
Read AI is a strong candidate when meeting documentation, personal coaching, recommendations, and connected search are all valuable. The evaluation should scrutinize access control and the interpretation of behavioral metrics.
Compare Otter.ai for an established transcription archive, tl;dv for multi-meeting sales intelligence and consent links, and Fireflies.ai for workflow automation. See the best AI meeting assistants guide for the broader framework.
Visit the official Read AI website
