Human vs AI: Creating High-Impact Meetings
The Meeting Follow-Up Problem
Meetings are vital, but here follow-ups usually fail. Despite having the best intentions, most teams leave recurring meetings with unclear action, vague objectives, or the annoying feeling they’ve had the same discussion before. The outcome is none other than wasted time, misalignment, not being on the same page, and certainly missed opportunities.
To solve this issue once and for all, we ran an experiment with our partners at AWS. Our mission was to validate what’s worth doing for humans in the age of automation. Can Artificial Intelligence outdo humans when it comes to creating high-impact follow-up meetings? The results are interesting.
The Experiment To Measure Effectiveness Of Human vs AI Tools
We designed an unbiased validation test to measure effectiveness, creating four variants of follow-up agendas based on a real-life recording of a cross-functional leadership meeting. Each version was assigned the same objective: Plan a meaningful, high impact follow-up meeting with agenda and outcome. The four variations were generated using multiple methods, such as:
- V1: Kairos AI (no transcript)
- V2: Human Expert (VP/Exec Leader, no AI)
- V3: Kairos AI (with transcript and meeting notes)
- V4: Human + ChatGPT Collaboration (no transcript)
After this, we asked AWS employees, CEOs, and senior leaders to rank the results anonymously based on actionability, clarity, and ability to fuel progress, and the results were jaw-dropping.
Main Findings
When it came to key metrics—like clarity of objectives, alignment of action items, and driving real progress—V3, powered by Kairos AI with meeting notes, came out on top. But the real game-changer was;
60 Seconds To Generate
It took under 60 seconds to generate the results of the experiment, which otherwise would have taken hours.
Outdid Human Performance
The tool outdid human performance, which spent 3 minutes and 40 seconds creating an agenda.
Beat Human+ChatGPT Collaboration
The same occurred with the collaboration between human + ChatGPT. On their own, human experts took significantly longer to produce results, and even when paired with ChatGPT, this combination was rated among the least effective, taking the longest time out of others.
Spicy Take
The findings reveal that physically creating an agenda may no longer be the most efficient use of your time and energy, as the same can be generated under 60 seconds via Kairos AI.
The Reasons Kairos Is Distinct
The key lies in the ways Kairos Follow-Ups work, providing meeting follow-up best practices in the following ways:
Automatic Meeting Summaries
One of the prominent reasons Kairos is distinct from other AI tools is that it can provide you with automatically generated summaries from the meetings you just finished on Teams. It pulls out a transcript from the discussion and gives you a precise and accurate summary.
Context-Aware Follow-Up Planning
Instead of losing track of what you had discussed in the previous meeting, Kairos has a context-aware follow-up planning, which allows you to pick the relevant summaries to generate an agenda for the next meeting, being laser-focused and matched with prior results.
Progress Can Be Shared
Apart from letting you track the progress of ongoing projects, the tool opens the ground for sharing progress in meeting summaries with stakeholders, even those who missed attending the conference. Keeping all concerned parties aware and updated of events happening.
Therefore, with Kairos AI, follow-ups aren’t only faster - they are smarter, unlike traditional tools that demanded more time and energy.
Measurable Business Impact
We are breaking down the impact it will have on your business in numbers:
Payment In Just Two Meetings
Kairos AI pays for itself in just two meetings. For instance, at $20/month per user vs. $200/hr for an executive’s time.
Saves at least 3 Minutes Per Agenda
Every meeting you plan with Kairos saves at least 3 minutes per agenda. Therefore, another reason to count on it for impactful meetings.
Better Follow-Ups, Better Meetings
With Kairos, you can always expect better follow-ups, which translates to higher team alignment, decreased meeting exhaustion as things go fast, and naturally quicker decision-making.
And this is where human vs AI productivity proves to be a crucial tool if you want the clearest results, as AI takes the crown in speed and quality, too, that your human experts can never deliver.
Surprising Insight: Human + ChatGPT Combo = Worst Performer
We also came across a surprising finding. We thought that combining human expertise with ChatGPT would lead to strong results, but in our research, this combo usually landed in third or fourth place across all categories.
Why?
- The longest time was taken to create the agenda.
- The procedure required constant prompting and editing.
- The final result took longer to get usable output and required too many iterations to produce the exact results that the business demanded.
For this particular case, using the 'human-in-the-middle' approach for meeting follow-up best practices actually slowed things down without adding much value.
No Context? Kairos AI Will Still Perform
The VI1: Kairos AI with no transcript outperformed human methods in several categories. Therefore, even without any context, the tool delivers impressive results, generating a well-structured and highly relevant agenda in just 23 seconds.
That’s the power of verticalized AI: it knows what a good and productive meeting looks like, even without human input.
The Final Rankings
Here are the final human vs AI productivity rankings, from best to worst:
- V3 – Kairos with Transcript
- V2 – Human Expert
- V4 – Human + ChatGPT
- V1 – Kairos without Transcript
The top choice delivered the best outcomes and required the least time.
Summing It Up
Our conducted study on human vs AI productivity clearly shows that Kairos AI with meeting notes is the champion. You no longer need to invest minutes and hours to create the perfect agenda. Hand over the heavy part to AI and enjoy a better, faster, and more reliable outcome.
