Read AI consultants

Q: Which meeting platforms does Read AI work with?

Read AI integrates with Zoom, Google Meet, Microsoft Teams, and Webex. It joins meetings as a participant (with a visible indicator so attendees know it's recording) and captures the full audio stream. For organisations using multiple meeting platforms across different teams or clients, Read AI provides a unified view regardless of which platform hosted the meeting.

We can help you automate your business with Read AI and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Read AI.

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About Read AI

Read AI is a meeting intelligence platform that uses AI to transcribe, summarise, and analyse virtual meetings across Zoom, Google Meet, Microsoft Teams, and Webex. Instead of manually taking notes or trying to remember what was discussed, Read AI joins your meetings and produces structured summaries, action items, and engagement analytics automatically.

The problem Read AI addresses is the amount of meeting time that gets wasted or poorly captured. Most teams spend hours in meetings each week, but the outcomes (decisions made, actions assigned, key points raised) often live only in someone’s memory or scattered notes. Read AI captures everything, generates summaries with key topics and action items, and measures engagement metrics like talk time distribution and participant sentiment.

At Osher, we integrate Read AI into broader productivity and data workflows through our business automation services. Common projects include connecting Read AI outputs to project management tools (so action items automatically create tasks in Jira or Asana), feeding meeting summaries into CRM records for sales call tracking, and building analytics dashboards that track meeting patterns across teams. For organisations looking to build custom meeting intelligence features, our AI agent development team can extend Read AI’s capabilities with custom processing pipelines. We’ve done similar work extracting structured data from unstructured sources, as detailed in our patient data entry automation case study.

Read AI FAQs

Frequently Asked Questions

Common questions about how Read AI consultants can help with integration and implementation

What does Read AI actually capture from meetings?

Read AI records the audio (and optionally video) of your meetings and produces a full transcript, a structured summary highlighting key discussion points, automatically extracted action items with assignees when identifiable, and engagement metrics including talk time per participant, interruption patterns, and sentiment indicators. All of this is available in your Read AI dashboard within minutes of the meeting ending.

Which meeting platforms does Read AI work with?

Can Read AI action items be sent directly to our project management tools?

Yes, and this is one of the most valuable integration points. We connect Read AI with Jira, Asana, Linear, or Monday.com so that action items extracted from meetings are automatically created as tasks in the appropriate project. The task includes context from the meeting discussion, the assignee, and a link back to the relevant transcript section. This eliminates the manual step of translating meeting notes into project tasks.

How accurate is the transcription?

Read AI’s transcription accuracy is generally strong for clear audio with standard accents, comparable to other AI transcription services. Accuracy can drop with heavy accents, background noise, crosstalk, or domain-specific jargon. For critical meetings where transcription accuracy is essential, we recommend reviewing the transcript and training any custom vocabulary. The summaries and action items are generated from the transcript, so transcript quality directly affects their usefulness.

Can Read AI meeting data be used for sales call analysis?

Yes. For sales teams, Read AI meeting summaries and engagement metrics can be automatically linked to CRM records. After a sales call, the summary, key points, and any action items are pushed to the associated deal or contact record in your CRM. This gives sales managers visibility into call quality and content without listening to every recording, and it ensures that call outcomes are documented consistently.

What are the privacy considerations with Read AI?

Read AI joins meetings visibly, so participants can see that the meeting is being recorded and analysed. You should ensure your organisation’s recording and consent policies cover AI meeting assistants, which may vary by jurisdiction. Meeting data is stored in Read AI’s cloud infrastructure, so review their data handling and retention policies against your compliance requirements. For sensitive meetings, you can choose not to have Read AI join on a per-meeting basis.

How it works

We work hand-in-hand with you to implement Read AI

As Read AI consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Read AI with integrate and automate 800+ tools.

Step 1

Process Audit

We review your current meeting practices: how meetings are documented, how action items are tracked, where meeting outcomes feed into project management or CRM systems, and how much time your team spends on post-meeting admin. We also assess meeting volume and patterns across the organisation to estimate the impact of automated meeting intelligence.

Step 2

Identify Automation Opportunities

Based on the audit, we identify where Read AI can eliminate manual meeting admin and improve information flow. Common opportunities include automatic action item creation in project management tools, CRM record updates from sales and client calls, meeting summary distribution to absent stakeholders, and aggregate analytics dashboards showing meeting patterns and time allocation across teams.

Step 3

Design Workflows

We design the integration architecture connecting Read AI with your downstream systems. This covers how meeting summaries are routed (by meeting type, participants, or calendar tags), which action items go to which project boards, how CRM records are updated from sales calls, and what meeting analytics are surfaced in management dashboards. Privacy and consent protocols are also defined in this phase.

Step 4

Implementation

We deploy Read AI across your meeting platforms, configure the integration with your project management, CRM, and communication tools, and build the automation workflows using n8n or Read AI’s native integrations. Calendar-based rules are set up to control which meetings Read AI joins. Team training covers how to review summaries, verify action items, and access analytics.

Step 5

Quality Assurance Review

We test the full workflow across different meeting types and platforms. This includes verifying transcript accuracy with your team’s typical meeting audio, confirming that action items are correctly extracted and routed to the right project boards, validating CRM updates from sales calls, and checking that engagement analytics accurately reflect meeting dynamics. Any routing errors or extraction issues are resolved.

Step 6

Support and Maintenance

After launch, we monitor integration health, transcript quality trends, and action item extraction accuracy. We adjust routing rules as team structures or projects change, update CRM mappings when deal stages or fields are modified, and refine meeting categorisation rules based on actual usage patterns. Periodic reviews of meeting analytics help identify trends in meeting effectiveness across the organisation.

Transform your business with Read AI

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Read AI consultation.

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