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A few months ago, I wrote about detecting reasoning — something the Meeting Canary team has been developing for over a year. I argued that being reasonable is fundamental to the success of any business. It’s why, whenever someone starts grandstanding in a meeting, I always come back to the same question:

“What’s your evidence for that?”

Now, we’ve taken that work a step further. Meeting Canary has launched Reasoning as a Service (RaaS) for our clients, and it comes with an interesting twist.
The below graph shows how reasoning detection works.
In this example, it’s based on a made-up chat exchange between two people. In real life, Meeting Canary transcribes spoken dialogue from meetings of any size. Each sentence is analysed and classified as either a reasoned statement or a simple standalone assertion. Then we score it from 0 to 1.

Nice… but what does that mean for decision-making?

Here’s where it gets powerful.
Meeting Canary also captures meeting summaries and action points — securely stored inside our clients’ Microsoft Teams environment (nothing sits on our servers). Each action point is time-stamped, allowing us to link the quality of reasoning in the conversation directly to the moment a decision was made.
Look at the red arrow in the graph: if an action point was created at that moment, you can see whether reasoning was rising or falling beforehand. That context matters.
Because action points are posted directly into the Teams chat, meeting organisers can:
  • ✅ Assign owners
  • ✅ Send reminders
  • ✅ Mark actions as “done”
Our next feature will let organisers review completed actions and tag them as good, bad, or indifferent.
Now imagine what that unlocks.
Across an entire organisation, every decision could be linked to the reasonableness of the discussion that produced it. Over time, patterns will emerge. And my hypothesis — one I’m genuinely excited to test — is simple:
Being reasonable is better for business.
I can’t wait to see the data prove it.

Transcripts are not insights.

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