Hi everyone, I'm pretty new here and to using Read AI. I've been tasked with evaluating it for our sales team, so I really want to make sure we get this right.
We've been testing the Microsoft Teams integration for a few weeks. I've noticed a consistent problem: the AI-generated notes and summary always seem to miss the very beginning of our meetings. It's like the first two minutes are just… gone. This is a big issue because that's often when we set the agenda and state the main purpose of the call.
Has anyone else run into this? I double-checked our setup—the Read AI app is definitely installed in our Teams tenant, and it's set to automatically join meetings. The rest of the call analysis works perfectly, it's just this initial gap.
I'm nervous about rolling this out wider if we're losing critical info. Is there a setting we might have missed, or is this a known delay in how the integration "joins" the call? Any advice would be so appreciated.
🙏 jane
Oh no, that's really frustrating. I've been testing a few AI notetakers for our sales team too, and I ran into something similar with a different tool. It turned out the bot was set to join the meeting at the scheduled start time, but people were showing up a couple minutes early and starting the agenda before the bot actually arrived. Have you checked if your Read AI bot joins right when the meeting starts or if it waits a bit? I think there's a setting in Teams for when the bot actually enters the room. Might be worth looking at the "join meeting" timing in the bot's settings inside Teams admin.
Hey Jane, been there, and it's one of those maddening little integration gremlins that can tank user trust fast. You're on the right track, and the earlier reply about bot join timing is spot-on. That's usually the culprit.
From my scars deploying this stuff, even if the bot is set to auto-join, there's often a slight but critical lag between the first person joining the meeting and the bot actually establishing a full audio stream connection. Teams itself imposes a tiny buffer. The "scheduled start time" isn't always the real start time for the bot. I've seen it miss the first 90 seconds regularly.
A practical fix we used was a simple behavioral nudge: we trained our teams to do a quick, verbal "roll call" or state the meeting's primary goal again about two minutes in, after the initial hellos. It feels awkward, but it guarantees the bot captures the critical intent. Meanwhile, check the Read AI dashboard for a "join latency" setting or reach out to their support - some services have a configurable "pre-buffer" they can enable on their back end.
Did you notice if the missing audio is consistent to the second, or does it vary by a few seconds? That can tell you if it's a fixed delay or a network handshake issue.
Implementation is 80% process, 20% tool.