Mar 24, 2026
Summary
Meetings dominate our workdays—but what if they could become a source of intelligence rather than inefficiency? In this episode of On the Brink with Andi Simon, I speak with Ramsey Pryor, CEO and founder of Rumi, an AI‑powered meeting intelligence platform that is redefining how organizations capture knowledge, collaborate, and make decisions. Together, we explore how artificial intelligence is reshaping the future of work by transforming everyday conversations into actionable insights.
The Problem with Meetings Today
Let’s start with a simple truth: most meetings underperform.
Professionals spend 30% or more of their time in meetings, and much of that time is wasted repeating information, catching people up, or trying to recall what was previously discussed. As Ramsey noted, research suggests that two‑thirds of meeting time is spent rehashing prior conversations—a staggering drain on productivity and morale.
Across industries—from banking to healthcare—I’ve seen meetings with no agenda, no clear outcomes, and no shared understanding of next steps. Attendance becomes the work, rather than progress.
So the real question becomes:
What if meetings could finally work for us instead of against us?
Ramsey Pryor founded Rumi during the pandemic, when virtual meetings exploded and attention became fragmented. His idea was deceptively simple:
Capture everything that happens in meetings and turn it into usable knowledge.
Using AI, Rumi:
Instead of relying on human recollection—or scattered notes—teams gain access to a living, searchable database of institutional knowledge.
This is where the transformation begins.
From Note‑Taking to Knowledge Creation
Traditional note‑taking is reactive. You jot things down and hope they make sense later.
AI flips that model.
With meeting intelligence, employees can:
As Ramsey explained, this reduces interruptions, eliminates redundant conversations, and accelerates decision‑making. Instead of digging through emails or pinging colleagues, employees can query their organization’s collective memory directly.
The result is simple but powerful:
Less redundancy. Faster decisions. Better alignment.
Changing Habits—and Culture
This shift is not just technological—it’s behavioral.
We are moving from:
Just as many of us instinctively turn to tools like ChatGPT for answers, organizations are beginning to turn inward—to their own data—for insights.
This represents a profound cultural transformation.
The Global Dimension: Culture Still Matters
As an anthropologist, I find the global implications especially compelling.
Meetings are deeply cultural:
AI can help bridge gaps—especially in language, documentation, and clarity—but it cannot replace the need to understand how people interpret and act on information.
Technology enables. Culture determines adoption.
Measuring the Impact
The value of AI‑powered meeting intelligence is not theoretical—it’s measurable.
Ramsey shared an example of a 300‑person sales team that saved 33,000 hours annually by reducing repetitive tasks and improving access to information.
That’s the equivalent of adding 15 full‑time employees—without hiring anyone.
This is where AI shifts from “interesting” to indispensable.
A New Way to Think About Meetings
Here are three key insights to carry forward:
They contain knowledge your organization is already paying for—but not fully using.
What was once ephemeral becomes searchable, actionable, and scalable.
The technology matters, but the real shift is in how people think, ask questions, and access information.
Final Thought
We are at the beginning of a major shift. Just as the internet democratized access to global knowledge, AI‑powered meeting intelligence is democratizing access to organizational knowledge.
The question is no longer:
“What did we say in that meeting?”
It is:
“What can we do with everything we know?”
From Observation to Innovation,
Andi Simon, PhD
CEO | Corporate Anthropologist | Author
Simonassociates.net
Info@simonassociates.net
@simonandi
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