Microsoft, Google, and Zoom are increasingly integrating AI features directly into their platforms. Automatic meeting notes, summaries, and task lists are now almost standard.
At first glance, this seems ideal:
One tool for everything, no additional software, no new subscription.
But in practice, a different picture quickly emerges.
Many of these features are add-ons in large platforms – not the core of the product. This is where compromises arise.
For many teams, specialized meeting tools are therefore the better choice.
The Key Points in Brief
• Platform providers usually see meeting AI as a feature, not a core product
• Tools like Copilot, Google Meet AI, or Zoom AI Companion are generalists
• Weaknesses appear in voice quality, data privacy, and workflow integration
• Specialized tools invest specifically in meeting transcription and analysis
• For Swiss companies, Swiss German and data location play an important role
The Reality with the Big Platforms
The big tech companies integrate AI into their existing products. This brings advantages – but also clear limits.
Microsoft Copilot
Microsoft Copilot is one of the most visible AI products in the business environment. It supports users in:
- Word
- Excel
- Outlook
- PowerPoint
- Teams
Copilot can also create notes or summarize conversations in meetings.
The big advantage: deep integration into the Microsoft ecosystem.
However, the weaknesses quickly become apparent.
Typical limitations
• Works primarily within Microsoft Teams
• No support for Swiss German
• Data processing in the Microsoft cloud
• Additional costs of around 30 CHF per user per month
For companies with multiple meeting platforms, this quickly becomes a problem.
Google Meet AI
Google has also integrated AI features directly into Google Meet.
These include:
- automatic meeting notes
- summaries
- action item detection
The functions are practical – but strongly limited to the Google ecosystem.
Typical limitations
• Works only within Google Meet
• Data processing at Google
• Limited customization options
• No support for Swiss dialects
For international companies, this is acceptable – for local teams often less so.
Zoom AI Companion
Zoom has significantly expanded its AI Companion in recent years.
Functions include:
- meeting summaries
- task detection
- asking questions about the meeting
However, here too: the AI is an add-on to the video conferencing tool.
Typical limitations
• Works only within Zoom meetings
• Data processing in the USA
• AI is an additional feature – not the core product
What Specialized Meeting Tools Do Differently
Specialized providers focus entirely on meetings and their documentation.
This focus brings several advantages.
Focus on a Core Function
While large platforms develop many products simultaneously, specialists focus on one goal:
Documenting meetings better and making them usable.
For Meeting Metrics, this means:
- more precise transcription
- structured summaries
- automatic extraction of tasks and decisions
All development resources flow into meeting quality.
Platform Independence
Many companies today use multiple meeting platforms.
Typical setup:
- internal: Microsoft Teams
- customers: Zoom
- partners: Google Meet
A specialized tool can support these platforms simultaneously.
Meeting Metrics works, for example, with:
• Microsoft Teams
• Zoom
• Google Meet
• Webex
• other platforms
This prevents tool fragmentation.
Deeper Integration into Business Processes
The real value of meetings arises after the meeting.
Therefore, specialized tools invest heavily in workflow integration.
Typical integrations:
• CRM systems
• project management tools
• documentation platforms
Meeting results can thus be automatically transferred into systems like:
- HubSpot
- Jira
- Confluence
.
Meeting Chat and Knowledge Search
Another trend is chat interfaces for meetings.
Instead of manually searching old records, users can simply ask:
"What did the customer say about the budget last week?"
Meeting Metrics is working on such a feature to make meetings searchable and queryable.
The Switzerland Factor
For many companies in Switzerland, additional factors play an important role.
Swiss German Support
A big problem for international tools is dialect recognition.
Most global providers support:
- Standard German
- English
- some other standard languages
Swiss German, however, is usually not recognized at all.
Meeting Metrics has developed a dedicated solution specifically for this.
Typical accuracy:
• about 75–90%, depending on the dialect
Not perfect – but already significantly better than no transcription for many teams.
Swiss Data Location
Many companies prefer data processing within Switzerland.
Reasons include, among others:
- data protection
- regulatory requirements
- control over sensitive data
Meeting Metrics processes and stores data in Switzerland.
This means:
• no transfer to third countries
• clear legal framework
• simplified compliance
Enterprise Option with On-Premise
For organizations with particularly high security requirements, Meeting Metrics also offers on-premise deployment.
All processing runs:
- on own infrastructure
- without external APIs
- fully under the company's control
This model is especially used by regulated industries.
Desktop App Instead of Meeting Bots
Many meeting tools work with bots that join the meeting.
This often seems disruptive or unprofessional.
Meeting Metrics follows a different approach:
A desktop app enables local recording without a visible bot.
Advantages:
• more discreet in the meeting
• platform-independent
• higher reliability
A mobile app for iOS and Android is currently in development.
When a Generalist Can Still Make Sense
There are situations where platform AI is completely sufficient.
You work entirely within the Microsoft ecosystem
If your company:
- uses only Microsoft Teams
- also uses Copilot for Word, Excel, and Outlook
the integration can bring great advantages.
You only need simple meeting notes
If meetings are only to be roughly documented, the integrated features are often enough.
Budget plays the most important role
If you already pay for Microsoft 365 or Google Workspace, AI features are partially already included.
An additional tool causes extra costs.
When Specialized Meeting AI Is the Better Choice
In many scenarios, the advantages of specialized solutions prevail.
You use multiple meeting platforms
A specialized tool covers all platforms simultaneously.
Data privacy is central
Swiss hosting and clear data processing significantly ease compliance.
Your team speaks Swiss German
Here, specialized providers have a clear lead over international platforms.
Meetings should be integrated into workflows
If meeting results should automatically flow into:
- CRM
- project management
- documentation
specialized tools often offer significantly deeper integrations.
Conclusion: Generalist or Specialist?
The big platforms mainly offer convenience.
AI meeting features are integrated, immediately available, and part of a larger software package.
But convenience does not automatically mean quality.
Companies with specific requirements – such as data privacy, speech recognition, or workflow integration – often benefit more from specialized solutions.
The crucial question is therefore not:
Do we need AI for meetings?
But:
Which solution best fits our requirements?
Frequently Asked Questions
Isn't Copilot automatically better because Microsoft invests so much?
Microsoft invests heavily in Copilot – but across many products.
Specialized providers focus their development entirely on meeting quality.
Will Microsoft ever support Swiss German?
Unlikely in the short term. The market is relatively small, so large providers rarely invest in dialect models.
Can Copilot and Meeting Metrics be used simultaneously?
Yes. Some teams use Copilot for internal meetings and Meeting Metrics for external conversations or data-sensitive meetings.
What about the costs?
Meeting Metrics starts at 29 CHF per month.
Copilot costs around 30 CHF per user per month in addition to the Microsoft license.
For smaller teams, a specialized tool can therefore even be cheaper.
